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Item C2 ~i 'lI1> t. BOARD OF COUNTY COMMISSIONERS AGENDA ITEM SUMMARY Meeting Date: August 3. 2009 Division: Growth Management Bulk Item: Yes X- No Department: Staff Contact Person/Phone #: Andrew O. Trivette Ext. 2517 AGENDA ITEM WORDING: Approval of Amendment No. 2 to the contract with GMR Aerial Surveys to provide the development of a Geospatial Land Cover Dataset for the Florida Keys ITEM BACKGROUND: This amendment will change the scope of work for the Land Cover Dataset Project by updating the Monroe County Land Cover Geospatial data set using 2009 imagery from the Florida Department of Revenue including edits resulting from consultation with Terramar Environmental services. PREVIOUS RELEVANT BOCC ACTION: December 17, 2008 - BOCC approved contract with GMR Aerial Surveys April 15, 2009 - BOCC approved Amendment No 1 with GMR Aerial Surveys CONTRACT/AGREEMENT CHANGES: A $9,750 increase to original contract bringing the total to $115,750. STAFF RECOMMENDATIONS: Approval TOTAL COST: $115.750 INDIRECT COST: BUDGETED: Yes _No DIFFERENTIAL OF LOCAL PREFERENCE: nla COST TO COUNTY: $115.750 SOURCE OF FUNDS: 148-50002-530340 REVENUE PRODUCING: Yes No x AMOUNT PER MONTH_ Year APPROVED BY: County Atty -1L OMB/Purchasing -LRisk Management ~ DOCUMENTATION: Included x Not Required_ DISPOSITION: AGENDA ITEM # C:, ~ Revised 7/09 AMENDMENT NUMBER 'TWO TO CONTRACT BElWEEN MONROE COUNTY AND GMR AERIAL SURVEYS, INC. THIS AMENDMENT NUMBER 'TWO to the contract between Monroe County (County) and GMR Aerial Surveys. Inc. d/b/a PhotoScience (Contractor) dated December 17, 2008 is entered into on the _day of . 2009. WITNESSETH: WHEREAS, the County desires further refinement to the data received from Contractor uSing data from other sources; and WHEREAS. Contractor has completed the tasks under the contract dated December 17. 2008 and the Amendment Number One dated April 15. 2009. and desires to do the work requested; NOW, THEREFORE. the parties agree as follows: 1. Additional duties and tasks are added to the Scope of Work on the attached Exhibit A and Project Schedule on Exhibit B as indicated. 2. Compensation is increased by Nine Thousand Seven Hundred Fifty Dollars ($9,750.00) to be payable upon completion of Amendment" Number Two, making the total payment One Hundred Fifteen Thousand Seven Hundred Fifty Dollars ($115.750.00), the first payment to be made under the original Contract and Amendment Number One upon invoicing and acceptance by the County of the work product for that portion of the scope of work. 3. All other provisions of the contract between the parties remain in full force and effect. IN WITNESS WHEREOF, the parties have executed this Amendment Number Two as indicated below. ATTEST: DANNYL.KOLHAGE,CLERK BOARD OF COUNTY COMMISSIONERS OF MONROE COUNTY Deputy Clerk Mayor George Neugent WITNESSES: (1) GMR AERIAL SURVEYS, INC. By: G.Michael Ritchie, President/CEO Print Name Date: (2) MONROE COUNTY ATTORNEY l~~~::Y~ SUSAN M. 'MSlEY AS~TANT COUNTY ATTORNEY Date.' ~ J~ ::l. ': ~"" 9 Print Name MONROE COUNTY BOARD OF COUNTY COMMISSIONERS CONTRACT SUMMARY Contract with: OMR Aeiral Surveys, Contract#_ Effective Date: December 17 t 2008 -- --- Expiration Date: S~ptember 1. 2009 Contract PurposelDescription: Amendment No.2 to Contract to update the Monroe COWlty Laod Cover Gcospatial data set using 2009 imagery from the Florida Department of Revenue including edits resulting from consultation with T mama: Environmental Services this change will inctese the amount oftbe contract by 59,7S0 to a total ofSIIS,7S0.00 Contract Manager: Bryan Davisson 2533 OIS Planner Stop # II (Name) (Ext.) (Department/Stop #) for BOCC meeting on August 3, 2009 Aaenda Deadline: July 27, 2009 CONTRACT COSTS Total Dollar Valuc of Contract: $ 115,750.00 Current Year Portion: S 115,750.00 Budaeted?Y~ NoD Account Codes: ill-~-S30340-_-_ Grant: S _-_-_-_-_ CountyMatch:$ N/A _-__-._-_-___ . . . - ------- --- --- -- ~ ADDITIONAL COSTS Estimated Ongoing Costs: SlJlIIyr For: at iDcluded in dollar value above m.i~ utilities' . . saJarie etc. CONTRACT REVIEW Changes Date In Needed ~ Division Director 7/27/09 YesDNo~ Risk Management YesONoD O.M.B./Purchasing YcsDNoD County Attorney 7 /27/09 YesD Nol8J :;i.~ '_.~./''1 Comments: Amended Exhibit A to Contract with GMR Aerial Surveys, Inc. d/b/a Photo Science Scope of Work (April 15, 2009) (as amended by amendment No.2 on August 3,2009) Photo Science will provide Monroe County with professional mapping services using a well established methodology proven on similar projects within Florida and other similar projects throughout the United States. The delineation and classification of each land cover type will be performed by uniquely qualified photointerpreters who have strong backgrounds in natural resources and geography and who have an in-depth knowledge base of land use and land cover types specific to Florida natural systems, agricultural, as well as high density residential, commercial, and industrial areas. The SFWMD 2004-2005 FLUCCS dataset, along with the 1991 Advanced Identification (ADID) land cover feature class dataset referenced in the County's solicitation are ideal sources of collateral data that will be referenced throughout Photo Science's production work flow. During the photointerpretation process Photo Science will only reference the collateral data and not use any of the line work from these previous mapping efforts, (Le., ADID, FLUCCS). Rather, the 2008-09 mapping effort will be compiled using only original line work with the possible exception of shoreline data. Photo Science will apply the County's New Potential Land Cover Categories classification summarized below. 1. Develooed Land - Develooed Lane is comorised of areas of intensive use with much of the land covered bv structures. Examoles are dwellinas. strio develooments. industrial and commercial comolexes. landfills. aolf courses and Darks. All imoerious surface areas below 0.5 acres will also be included within this cateaorv. 2. Undevelooed Land - This cateaorv includes ooen . scarified. or disturbed lands which tend to have uncertain land uses and may contain native soecies. 3. Impervious Surface: This cateaorv includes all surfaces above 0.5 acres which do not allow or minimallv allows. the oenetration of water. Examoles are buildina roofs. concrete and asohalt oavements/oarkina lots and some fine arained soils such as clavs. Sl:4rfas8 '.~hish se8S not aile'.1\', sr FAiRiFAally alle\\'6 , th8 peAetr-atien sf v"f.Bter; iAsll:ldes a6 examples ::Ire building r.eefs, nermal seAsrete and asphalt f:)3'Jem8At6, and SOFAe fiAe graiAed 69il6, 6l:46t:1 a6 ~. - 1 - ~. Hammock: This was used to designate most of the upland and upland hammock vegetation found throughout the Keys that is natural and generally undisturbed. 2. Pineland: an upland forest community with an open canopy dominated by the native slash pine composed of known species. 6. Exotic: Invasive exotic species include Melaleuca, Australian Pine, Brazilian Pepper, Leatherleaf and Sapodilla north of the seven mile bridge. L Scrub mangrove: Typically found in the lower Keys, coastal scrub mangrove of dwarf mangrove are dominated by known species. Plants are typically less than 5' tall. 8. Freshwater Wetland: wetland areas with either standing water or saturated soil or both where the water is fresh or brackish composed of known species. Some Freshwater Wetlands are isolated and therefore not subject to the MMU of 0.5 acres. Rather, photointerpreters will delineate them without regard to the MMU. ~. Saltmarsh lQ.Buttonwood 11. Mangrove : a wetland plant association subject to tidal influence where the vegetation is dominated by Black, White or Red mangroves. 12. Beach Berm : all sandy shorelines or beach areas. 13. Water: All water bodies both fresh and tidal (saline) · Ssarified land: biplane aFeas that have beeR slearod fer dsvelepment already developed aAd sr once were sleared and ha~Je f:)een loft l::lRtel::lsRed siRse tRat stage allewiRg natyr-al aRd e)(stis vegetatieR te re \Jegetate. · Salt Marsh 8~tton).\'ood \}JetlaR9: TraRsitieRal areas lesated geWJeSA tiE~al maRgr.svss and hammesks deminated f:)y kno)J/n species. · Beach Berm: :3 sandy shoreline ':-Jith 0 meblns or riage of l:jf'lsenselidatea sans tRat is immediately IOAaward of, and uSl:j311y par-allel to, the shereliAe and f:)eash. The sana is salsareous material that is the remains of marine organisms such 3S safals, algae aRd me1l1::l86s. TR9 99fm may include fer.estgd, coastal ridges and may f:)e 6eleni~ed by hammesk 'Jegetatien. Photo Science shall capture land cover features at the minimum maooina unit (MMU) of 0.5 acres with the exception of isolated wetlands and small hammock habitat. Isolated wetlands will be mapped at even smaller MMU's. Smaller hammock habitat will be caotured at the MMU of .35 acres. Photo Science proposes a vector land cover data set be compiled from source imagery at the determined MMU. Format will be an ArcGIS Geodatabase. - 2- Photo Science's work flow is summarized as follows: Note that Quality Assurance and Quality Control (QAIQC) procedures will be integrated through this work flow. . Kick-off meeting with the County . Collect and review collateral and source imagery . Set up computing environment . Data preparation . Photointerpretation (PI) . Field work . PI Update . GIS Processing . Metadata · Thematic Accuracy Assessment . Final Report . County Review · Project Close out Photo Science will provide the County with detailed progress reports on a monthly basis. All source materials received from the County will be controlled using a chain-of-custody documentation procedures which will track all source materials including the required referenced materials and optional referenced materials provided to the team by the County. Photo Science will produce a spatially, thematically and technically accurate ArcGIS 9.3 land Cover geodatabase from the digital source imagery. The land Cover dataset development will include documentation and metadata describing the methods and products. Photo Science will create a new land cover dataset that is correct in both classification and positional accuracy. Photo Science will create this dataset using uniquely qualified photointerpreters who have strong backgrounds in natural resources and geography and who have an in-depth knowledge base of land Cover types specific to the Florida Keys natural systems, as well as high density residential and commercial areas. All of Photo Science's Photointerpreters assigned to this project will familiarize - 3 - themselves with spectral signatures associated with the project work areas to gain the necessary knowledge to establish the decision rule criteria necessary for accurate and consistent photointerpretation. All of Photo Science's photointerpretation will adhere to a minimum mapping unit that meets or 0.5 acres (except wetlands isolated which will be mapped if seen on the imagery regardless of the MMU) or other MMU defined by the County. Photointerpreters will delineate and classify Land Cover with the appropriate classification codes by utilizing the basic photo elements of shape, size, pattern, shadows, tone, texture, site, and color. These basic characteristics of photographic images provide distinct "clues" as to the proper classification of a mapping unit. Using collateral data, including input from the on-site field verification, our photointerpreters will be able to classify and delineate the Land Cover features throughout the project area. Photo Science's photointerpreters shall be able to distinguish between and among subtle spectral signatures. Most of the Land Cover features will be delineated and classified by Photo Science in a heads-up digital environment monoscopically. If, stereoscopic viewing is required Photo Science will do so using Socket Set soft copy photogrammetric workstations for on-screen stereo-viewing of 2006 pan- chromatic ADS40 imagery. Photo Science Photointerpreters will reference all appropriate collateral data along with input from County staff. This proposed approach follows standard aerial photography interpretation techniques that have been successfully used on similar inventories of large geographic areas. When using the 2006 ADS40 imagery, Photo Science photointerpreters will undoubtedly document discrepancies between the time of the source photography (2006) was taken and current (2009) ground truth field conditions. It is anticipated that many of these types of discrepancies between source imagery and ground truth will be associated with recent urban development on previously non- developed land. Although the source imagery typically takes priority on these types of situations, Photo Science photointerpreters will note the discrepancy and consult the County for advice. If during the photo interpretation and field verification effort Photo Science feels that modifiers to the classification system may apply, Photo Science shall make those recommendations to the County. Photo Science shall send samples of photointerpretation work to the County on a regular basis. Further, the County and Photo Science shall participate in a web conference at any time to view -4- progress and to discuss the application of the County's classification system to the land cover features extracted from the source imagery. During the photointerpretation phase, all unclassified polygons will be flagged by Photo Science for inspection in the field. Following a thorough review of all collateral data, the photointerpreters will select spectral signatures that represent various Land Cover codes that display Ilproblem" or "low confidence" signatures. Photointerpreters will mark these features on the source photography for reference for a field site visit. Photo Science will also provide a narrative within the Final Report discussing probable reasons why a polygon may have been misclassified such as photo quality, signature variance, decisions rules, misinterpretations, mapping units or aggregation. etc. Field verification is a necessary component of a project of this scope and magnitude. Photo Science Photointerpreters must be able to accurately correlate spectral signatures from source imagery with actual Land Cover codes. Photo Science's photointerpreters will visit select sites in the field to accurately correlate the Land Cover codes with their respective unique spectral signatures. This local knowledge-base obtained from the field trip will assist the photointerpreters with updating both the classification and as needed the delineation of Land Cover data with a high degree of confidence not otherwise possible. Hard copy plots of imagery annotated with line work and Land Cover codes will be prepared for the photointerpreter to use in the field. A large sample site of the Land Cover codes updated will be visited in the field including all polygons flagged during the PI process. Additionally, Photo Science photointerpreters will visit a representative number of all other Land Cover codes. During the field preparation, the Photo Science will develop a plan that allows for the maximum number of codes to be visited. Photo Science maintains that the photointerpreters assigned to this project are the ones that must participate in the field work. The field work effort will not be delegated to anyone not directly involved in the photointerpretation process. Photo Science believes that the knowledge gained from the field is critical to insuring a high degree of classification accuracy. Photo Science shall provide field verification as a control measure for photointerpretation, classification of Land Cover types, and project documentation. Field verification will include visual assessment of selected Land Cover type. The photointerpreter will also collect a GPS point for each field site visited. A digital photo will be taken of each site at ground level and incorporated into the field data sheet and - 5 - the PI key. When photointerpreters return from the field they will incorporate all ground truth data collected and update the photointerpretation as needed. The Photo Science will utilize in-process, draft, and final review processes to assure a complete and accurate map product are compiled. Emphasis will be placed on creating effective mechanisms that will assure quality results in interpreted data content and supporting annotations. QC routines will be woven into the PI production. All work compiled, including all classification codes, will be reviewed upon completion of each image title before the Photointerpretation begins working on the next image title. The Project Manager as well as other Photo Science Photointerpreters will conduct "peer reviews" of each completed image title. To promote consistency and accuracy, the photointerpreter who did the original work will correct any and all edit calls associated with their own work. The emphasis of Photo Science's PI QC process will be to identify any critical defects, which could degrade the FLUCCS integrity of the LCLU map. These defects may include: . Improper selection of collateral data. . Incorrect feature interpretation and coding. . No feature consistency across project area. . Features not labeled clearly or completely. . Incorrect polygon annotations. . Missing polygons. . No adherence to minimum acreage size requirement. . Improper edgematch to adjoining maps. Photo Science's PI QA process will continually incorporate measures to assure the highest standard of accuracy. In order to provide unbiased and unencumbered quality assurance, Photo Science will organize all quality assurance functions to be separate from, and to operate independently of, the production team. This includes checking each delineated image title, inspecting it to assure that all land cover features are properly delineated and classified and are in compliance with a minimum mapping imit. - 6- Regular internal coordination meetings will be held between the Project Manager and the photointerpreters, the QA/QC Manager to discuss progress, findings, and any problems or anomalies encountered. Items typically discussed include characteristics of the imagery, collateral data, decision rules, and specific project objectives. The County is encouraged to participate in these meetings via conference call or web meeting or site visit. All Land Cover features compiled by Photo Science will be meet the following standards for logical consistency: · Polygon line work will not be generalized along sinuous features. Line work will properly characterize the shapes of boundaries appropriate to the resolution of the source imagery. · Minimum dimensions of mapped features will conform the Minimum Mapping Unit. · In the unlikely case that the source imagery does not edge match, Photo Science will notify the County for resolution · Identically coded polygons will not be adjacent to each other within a feature class · All features will exist wholly within the registration coverage title bounding arcs · There will be no duplicate features · Topology rules will be validated and corrected prior to delivery of each and any deliverable · All tolerances will be consistent across all deliverables. Photo Science will assure positional accuracy by checking that all coordinates are referenced, maintained and delivered in the State Plane Coordinate System, Florida East Zone, units survey feet, North American Datum (NAD) 1983/99 (NAD83/99). Projection information will be present in the metadata file and accessible through ArcCatalog Photo Science proposes that the thematic accuracy of the land cover dataset delivered to the County will have an overall minimum thematic classification accuracy of 90010. This overall classification accuracy will be calculated as a weighted average of all classes for each deliverable weighted by total area covered by each class. Photo Science proposes to confirm the thematic accuracy of the lands cover data set with a thematic accuracy assessment. The attribute table will contain their contract specified fields in the correct order and defined correctly. There will be no superfluous attributes or attribute fields in the final deliverable. All fields will be coded correctly and completely. There will be a value in every polygon for every attribute. - 7- P .1. Decision Notes and General Notes will be filled out whenever deemed useful or appropriate by Photo Science's Photointerpreters and will be standardized in such a way that allows identical comments/issues to be identified. There will be a value in every polygon. Where no value applies the default will be "N.lA". Attribute Codes: At a minimum, the following attributes will be associated with each digitized polygon: . LCCODE This attribute will be populated with a land cover value based on the County classification system. This field will be present in the final deliverable. . Modifier This attribute will be used to add additional detail to the classification, such as temporary conditions, minor features or management factors, that may be of particular interest to the County but do not warrant adding new classes to the Classification system. This will provide the County an opportunity to customize the classification without effecting overall consistency. This field will be present in the final deliverable. · Photointerpretation Code The photointerpreter responsible for the Land Cover determinations will be identified by this code value. This field will be present in the final deliverable. . PI Decision Notes This attribute will use standardized codes to record issues regarding the interpretation decision made for an individual polygon. This field will not be present in the final deliverable. · General Notes Decisions that record uncertainties or level of confidence will be recorded in this note field. Also, general rules for anecdotal data unrelated to the PI decision will be referenced here. This field will not be present in the final deliverable. · Field Check. Features identified for verification in the field are identified with this field. The Photo Science will develop QC protocols specific to this project that will ensure that all deliverables meet or exceed all accuracy standards established for this project under Monroe County's RFP. Photo Science's QC and editing process will continually incorporate measures to assure the highest standard of accuracy. Photo Science shall hold periodic coordination meetings between project management, photointerpreters, and related project support personnel to discuss progress, findings, and any prOblems or anomalies encountered. The County is encouraged to participate in any of these meetings via conference call, web meeting or site visit. - 8 - QC routines, developed by Photo Science will be used to review the digital data. In summary, Photo Science's automated and non-automated QC/OA routines will insure that the following standards for logical consistency apply: · Polygon topology is present and verified using the following rules : do not overlap and do not have gaps · Correct application of the MMU · No duplication of features · No sliver polygons will exist · No label errors will exist · No contiguous polygons Additionally, Photo Science's QAlQC process will insure all standards for positional accuracy apply to this mapping effort. This includes insuring that all coordinates are referenced to the State Plane Coordinate System, Florida East Zone, units survey feet, North American Datum (NAD) 1983-90 (HPGN). All projection information will be present in the metadata file and be accessible through ArcCatalog. Photo Science's process will insure that the attribute table contains their ArcGIS coverage default items and contract specified items in the correct order and defined correctly. There will be no superfluous attribute tables or attribute items in the final deliverable. All items will be coded correctly and completely. There will be a value in every polygon for every attribute. Where no value applies, we will use 9999. All .pat and .aat table definitions will be consistent across all deliverables. Photo Science shall produce a Photointerpretation (PI) Key for the County. The PI Key will be developed in order to document the decisions and mapping conventions applied during the photo interpretation process. It will describe and illustrate the classification system in detail. The PI Key will be used to assist the photo interpreters compile the land cover features and help to ensure that the photo interpretation is consistent throughout the project. It will be designed to provide descriptions of the visual and spatial distribution characteristics of the classification type used for the project and documents any special mapping conventions which may be developed. Its purpose is to define a common set of rules and standards that can be applied by many different interests to arrive at a consistent interpretation. Additionally, the PI Key will contain the general logic and details behind the decision rules for producing the Land Cover dataset. These details will be in the form of documentation that lists the appropriate Land Cover classes. - 9- Since the potential set of rules can be complex and endless, the County will be provided with a practical level of useful details conforming to the methodology and to the specific capabilities and needs of targeted users. The PI Key also serves to provide insight for future users into the rationale for the delineations and classifications appearing within the database. The PI Key will be in a digital format and will include the County's classification system. Users will be able to access the PI Key, point and click on a selected code to access the Photo interpretation Key file which describes the selected code. Aerial images will be clipped from the original imagery used for the photo interpretation. These image clips will be displayed on each key page. In addition, field pictures taken at ground level of each land cover code representing each classification type will also be included on each key page. Guidelines for each land cover code specific to this project will be specified in the PI Key. Each PI Key page will describe a unique land cover classification. The following sections will be included on each page of the key: 1. Classification Code: Indicates the land cover code as applied during photo interpretation. 2. Land Cover Description: This is the definition of the classification code exactly as it appears within County documents. 3. Keys to Photo interpretation: These will be descriptions which consist of the typical characteristics of each land cover code. Features which are associated with the class and which are visible on the imagery will be described. The apparent signature (colors, tones, textures, etc.) of the land cover code on the imagery will also be described. 4. Special Mapping Conventions: Describes the photo interpretation or mapping rules established to address the particular classification code. 5. Metadata: Documentation that describes the methods used to produce the PI Key including problems encountered, problem resolution, clarification in scope, etc. The metadata compiled will comply with Federal Geographic Data Committee (FGDC) STD-001-1998 Content Standards for Digital Metadata (version 2.0). 6. Anecdotal information including problems encountered and remedies deployed. To add clarification to the document, the approved PI Key may be modified with County approval during project implementation. It may also be necessary for land cover classes to be modified during mapping based on project working experience with the Land Cover classification system while maintaining - 10 - consistency throughout the project area. All such changes will be submitted to the County for approval before processing. All mapped classes will be appropriately represented in the PI Key. The PI Key will be thoroughly tested to insure it is comprehensive and user friendly. Following internal testing of the PI Key, Photo Science will meet with County staff to demonstrate and deliver the PI Key as well as to demonstrate the working environment dedicated to this project. To insure the land cover dataset delivered to the County has a minimum classification accuracy of 90- percent for each Land Cover category at a confidence level of 90-percent, and that the overall accuracy of each section deliverable will have a minimum classification accuracy of 90-percent at a confidence interval of 90-percent, Photo Science proposes to conduct a thematic accuracy assessment as part of the QA procedure PRIOR to final delivery. Photo Science proposes to use a quantitative method (a statistical approach) described by Congalton and Mead (1983) to determine thematic accuracy of the final Monroe County Land Cover maps to be compiled. This method involves comparing the results of two separate and independent classifications of the same features. The first classification results from the initial 2008-09 Photo Science map compilation effort that used a combination of photointerpretation and field work techniques. The second classification results from the classification derived an independent photointerpretation conducted by HDR combined with direct field observations as needed. Similarities and/or differences between these two classifications (Photo Science and HDR) shall be displayed in an error matrix, (also referred to as a similarity matrix). The resultant error matrix will be used to measure the overall thematic accuracy of the first classification results. The following methodology shall be deployed: Step 1: Photo Science will use GIS tools to select a minimum of 20 polygons from each land cover codes from the classification that Photo compiled. This equates to over 200 polygons. Science Step 2: Photo Science shall drop all attributes associated with each of the selected, leaving only a polygon ID. polygons - 11 - Step 3: Photo Science subcontractor (HDR) shall conduct an independent classification using photointerpretation techniques of the selected polygons without referencing Photo Science's original classification. Signature identification may require field work. HDR classification results will be compared with Photo Science's classification. The following information shall be displayed when comparing these two datasets: · Total number of polygons for each classification, · Number of polygons which are correctly classified, · Number of polygons that are incorrectly classified. Photo Science shall perform a statistical analysis by running the Arc Intersect Command within ArcMap. This command allows the user to overlay the polygons from the original Photo Science classification and the second classification conducted by Photo ScienceJs subcontractor (HDR). The resulting output will have the combined attributes of the features in the two inputs. From the analysis of the Arc Intersect generated layer, Photo Science shall compare the classifications from the two sources. The 'Notes' field within the Geodatabase shall be used by Photo Science to document comments for the sampled polygons as well as to identify where any errors are occurring outside of the sample polygon datasets. Photo Science shall then conduct a statistical analysis of the dataset. All generated polygons shall be combined to represent one batch sample. A statistical analysis shall then be performed solely on the batch sample containing all the sampled polygons. A similarity matrix (or error matrix) will be produced as a square array set out in rows and columns expressing the number of polygons assigned to a particular feature type relative to the independent classification. Once the error matrix is generated it will be analyzed using a discrete multivariate analysis technique using a program called KAPPA developed by Congalton et al (1982). The Kappa coefficient equation adjusts for polygons that may match purely by chance. The overall classification accuracy will then be calculated as a weighed average of all classes (weighed by total area covered by each class). The statistics used will be the maximum likelihood estimate from the multinomial distribution and shall be a measure of the actual agreement minus the chance agreement. The variance of these estimates will then be used to construct a hypothesis test for significant difference at varying confidence levels to determine jf the two independent classifications are significantly different. The accuracy percentage - 12 - shall then be calculated for each mapping code by dividing the total number of matching polygons by the total number of sample polygons processed. Finally, Photo Science will provide the County with a Thematic Accuracy Report which compiles the results of the statistical analysis. Results will be summarized in a concise and organized form. The report will compare the data quality and discussed similarities and differences, providing conclusions about consistency and completeness. This report will also include suggestions as to what factors may have caused any observed differences and recommended possible remedies. Also included in this report will be a discussion on probable reasons why a polygon may have been misclassified such as photo quality, signature variance, decisions rules, misinterpretations, minimum mapping unit or aggregation, etc. The County shall be provided with the error matrix, a statistics review report based on the comparison of the two datasets and the KAPPA coefficient computation. The County will also be provided with a summary of systematically mismatched classes on a spreadsheet. Photo Science shall provide the County with high quality metadata that is compliant with the Federal Geographic Data Committee (FGDC) standards pursuant to Circular A-16 and Executive Order 12906. Photo Science will lead and organize all metadata creation and management activities for the Land Cover database development efforts. Contract Amendment 2 Tasks Photo Science will update the Monroe Countv 2006 Land Cover Geospatial data set usina 2009 imaaerv orovided by the Florida Department of Revenue. This uPdate will include imolementation. followina consultation. of all recommended edits due to field verification by Monroe County's Biolocical consultant Terramar Environmental Services. The Consultation with Terramar Environmental Services shall consist of teleohone and email correspondence. sharina of maooina both diaital and hard coov and no less than three (3) days (8 hours) of ioint field verification (Photo Science & Terramar Environmental Services personnel) of edited areas in Monroe Countv. The final deliverable for this oroiect. includina the above amendment. will be the oriainal contracted data set with the edits as described above. - 13- Exhibit B (Revised March 19, 2009 and August 3, 2009) to Contract with GMR Aerial Surveys, Inc. d/b/a Photo Science Task Project Schedule Date Assume Notice to Proceed: Photo Science Kick Off Meeting: Collect & Review Source Materials: Set Up Computer Environment: Monroe County I Photo Science Kick Off Meeting: Photointerpretation & QC & Draft PI Key: Upper Keys Deliverable - Preliminary Draft Map Products of Upper Keys available for County review: Fieldwork. Post field photointerpretation & ac, GIS processing and ac Deliverable - Draft map product of Upper Keys available for County review: Lower Keys Deliverable - Preliminary draft Map product of Lower Keys available for County review: Fieldwork, Post field photo interpretation & ac, GIS Processing & ac: Deliverable - Draft map product of Lower Keys available for County Review Accuracy Assessment: Revised draft map for County review: County Review: County Review: Photo Science Edits, Metadata, Final Land Cover Dataset, Metadata, Final Report. Final PI Key, etc: Tasks under Contract Amendment NO.2 Dec. 12,2008 Dec. 15,2008 Dec. 15,2008 Dec. 15,2008 Jan.27,2009 Jan. 28 - Mar. 31, 2009 Mar. 06, 2009 Mar. 16,2009 Apr. 17.2009 May 11, 2009 May 11 - Jun 5, 2009 Jun 5, 2009 Jun. 5 - July 5, 2009 Aug. 4,2009 Sept. 1, 2009 New Date Payment March 11, 2009 May 1, 2009 May 25,2009 May 25-June 19, 2009 June 19, 2009 June 19-July 20, 2009 $106,000.00 $ 9,750.00 EXHIBIT B PAGE 2 Deliverable Breakdown: Final Land Cover Dataset with Metadata Accuracy Assessment: Photointerpretation Key: $ 91,000.00 $ 10,000.00 $ 5,000.00 $106,000.00 $ 9,750.00 $115,750.00 Total: Tasks under Contract Amendment No.2 Total: Note: Photo Science will provide the County with monthly progress reports and, if requested, preliminary draft map products on a monthly basis. Amended Exhibit A to Contract with GMR Aerial Surveys, Inc. d/b/a Photo Science Scope of Work (April 15, 2009) Photo Science will provide Monroe County with professional mapping services using a well established methodology proven on similar projects within Florida and other similar projects throughout the United States. The delineation and classification of each land cover type will be performed by uniquely qualified photointerpreters who have strong backgrounds in natural resources and geography and who have an in-depth knowledge base of land use and land cover types specific to Florida natural systems, agricultural, as well as high density residential, commercial, and industrial areas. The SFWMD 2004-2005 FLUCCS dataset, along with the 1991 Advanced Identification (ADID) land cover feature class dataset referenced in the County's solicitation are ideal sources of collateral data that will be referenced throughout Photo Science's production work flow. During the photointerpretation process Photo Science will only reference the collateral data and not use any of the line work from these previous mapping efforts, (i.e., ADID, FLUCCS). Rather, the 2008-09 mapping effort will be compiled using only original line work with the possible exception of shoreline data. Photo Science will apply the County's New Potential Land Cover Categories classification summarized below. 1. Develo Land - Develo d Lane ;s com rised of areas of intensive use with much of the land covered b tructures. Exam les are dwellin s stri develo ments industrial and commercial com lexes landfills olf courses and arks. All im erious surface areas below 0.5 acres will also be included within this cateaorv. 2. Undev 10 d Land - This cate 0 scarified or disturbed I nds which tend to 3. Impervious Surface: This cateaorv includes all surfaces above 0.5 acres which do not allow or minimall allows the netration of water. Exam les are buildin roofs concrete and as halt Davements/oarkina lots and some fine arained soils such as clavs. ~~,,~iSA "a86 Flat alla'll, ar miRimally allews, l/:1a paR8tratiaR 9f watar; iR~"'EIe" : 8== :ire byrlg,Ag Fssfs, ASFmsl SSFlSFete SREI asphalt pavemeRts, aAg ssme fiRe graIned S I S, ~. - ] - ~. HammOCk: This was uSed to designate most of the upland and upland hammock vegetation found throughout the Keys that is natural and generally undisturbed. .Q. Pine/and: an upland forest community with an open canopy dominated by the native slash pine composed of known species. 6. ExoUc: Invasive exotic species include Me/a/euca, Australian Pine, BraZilian Pepper, leather/eat and Sapodilla north of the seven mile bridge. L Scrub mangrove: Typically found in the lower Keys, COastal scrub mangrove of dwarf mangrove are dominated by known species. Plants are typically less than 5' tall. ./!. Freshwater Wel/and: wel/and areas with either standing water or saturated soil or both Where the water is fresh or brackish composed of known Species. Some Freshwater Wetlands are iSOlated and therefore not Subject to the MMU of 0.5 acres. Rather, Photointerpreters will delineate them without regard to the MMU. ~. Saltmarsh lQ. Buttonwood 11. Mangrove: a weiland plant aSSociation subject 10 tidal influence where the vegetal/on is dominated by Black, White or Red mangroves. 12. Beach Berm: all sa d shorelines or beach areas. 13. Water: All water bOdies both fresh and tidal (saline) ==:;:=:~r:R::::: ::::6::~::~a:::,~:aRd~ · =~~'=:~~:: :Siti9Ral areas leGated llelw811R lida/IllaFlflF6 e hamm.esk€ delRlRoteEl by kRS"I' SI. : :::~::: == s~::;:=: :~~ :~:::=t:::::t: =~;::W;::;~::~=:i;:'=;:;".;:a: ::,=.'~::~ ::: :::d, ::::;:::;:::::::::::= :9:: "hoto Science shall capture land cover features at the minimum maooino unit (MMU) of 0.5 acres with he exception of isolated wetiands and small hammOCk habitat. Isolated wetlands will be mapPed at ven smaller MMU's. Smaller hammock habitat will be ca tured at the MMU of .35 acres. 1010 Science proPOses a vector land COver data set be COmpiled from SOurce imagery at the !ermined MMU. Format will be an ArcGIS GeOdatabase. . 2 - I Photo Science's WOrk now is summarized as follows: Note that Quality Assurance and Quality COntrol (QAlQC) procedures will be integrated through this work now. · Kick-off meeting with the County · Collect and review collateral and source imagery · Set up computing environment · Data preparation · Photo;nterpretat;on (PI) · Field Work · PI Update · GIS Processing · Metadata · Thematic Accuracy Assessment · Final Report · County Review · Project Close out Photo Science will provide the County with detailed progress reports on a monthly basis, All source materials received from the County will be controlled using a chain-Of-custOdy docUmentation prOCedures which will track all SOurce materials inclUding the required referenced materials and optional referenced materials Provided to the team by the County. Photo Science will prOduce a spatial/y, thematically and technically accurate ArcGIS 9.3 land Cover geodatabase from the digital SOurce imagery. The land Cover dataset development will inclUde dOCUmentation and metadata deScribing the methods and prOducts. Photo Science will create a new land caver dataset that is correct in both classification and POsitional ICcuracy. Photo Science will create this dataset Using uniquely qualified Photointerpreters who have ;trong backgrounds in natural resources and geography and who have an in-depth knowledge base of and Cover types Specific to the Florida Keys natural systems, as well as high density residential and .mmercial areas. All of Photo Science's Photointerpreters aSsigned to this project will familiarize - 3 - themselves with spectral signatures associated with the project work areas to gain the necessary knowledge to establish the decision rule criteria necessary for accurate and consistent photointerpretation. All of Photo Science's photointerprelation will adhere to a minimum mapping unit that meets or 0.5 acres (except wetlands isolated which will be mapped if seen on the imagery regardless of the MMU) or other MMU defined by the County. Photointerpreters will delineate and classify land Cover with the appropriate classification COdes by utilizing the basic photo elements of shape, size. pattern, shadows, tone, texture, site, and color. These basic characteristics of photographic images provide distinct "Clues" as to the proper classification of a mapping unit. Using collateral data, including input from the on-site field verification, our photointerpreters will be able to classify and delineate the land Cover features throughout the project area. Photo SCIence's photointerpreters shall be able to distinguish between and among subtle spectral signatures. Most of the land Cover features will be delineated and classified by Photo Science in a heads-up digital environment monoscoPically. If, stereoscopic viewing is required Photo Science will do so using Socket Set soft COpy Photogrammetric WOrkstations for on-screen stereo-vieWing of 2006 pan- chromatic A0S40 imagery. Photo Science Photointerpreters wll/ reference all appropriate COllateral data along with input from County staff. This proP05ed approach follows standard aerial Photography interpretation techniques that have been successfUlly used on similar inventories of large geographic areas. When using the 2006 A0S40 imagery, Photo Science Photointerpreters will undOUbtedly dOCUment discrepancies between the tIme of the SOurce Photography (2006) was laken and current (2009) ground truth field condilions. II is anticipated that many of these types of discrepanCIes between SOurce imagery and ground truth will be associated with recent uman development on previously non- developed land. A/lhough the Source imagery typically lakes priority on these types of situations. Photo Science Photointerpreters will note the discrepancy and consult the County for advice. If dUring the photointerprelation and field verification effort Photo Science feels that modifiers to the :lassification system may apply, Photo Science shall make lhose recommendations to the County. hoto Science shall send samples of Photointerpretation work 10 Ihe County on a regular basis. Jrther, the County and Photo Science shall partiCipate in a web conference at any time to view ~ 4 - progress and to discuss the application of the County's classification system to the land COver features extracted from the Source imagery. During the Photointerpretatlon phase, all unclaSSified Polygons will be flagged by Photo Science for inspection in the field. FOllOWing a thorough review of all collateral data, the photointerpreters will select spectral signatures that represent various land Cover codes that display "problem" or "low confidence" signatures. Photointerpreters will mark these features on the SOurce Photography for reference for a field site visit. Photo Science will also provide a narrative within the Final Report discUssing probable reasons why a POlygon may have been misc/aSS/fied such as photo quality, signature variance, decisions rules, misinterpretations, mapping units or aggregation, etc. Field verification Is a necessary component of a project of this SCOpe and magnitude. Photo Science Photointerpreters must be able to accurately correlate spectral signatures from source imagery with actual land Cover COdes. Photo Science's Photointerpreters will visit select sites in the field to aCCUrately correlate the land Cover COdes with their respective Unique spectral signatures. This local knowledge-base obtained from the field trip will assist the Photointerpreters with updating both the classification and as needed the delineation of land Cover data with a high degree of confidence not otherwise POSsible. Hard copy plots of imagery annotated with line work and land Cover COdes will be prepared for the Photointerpreter to use In the field. A large sample site of the land Cover COdes updated will be visited /n the field inCluding al/ POlygons flagged during the PI process. Additionally, Photo Science Photointerpreters will visit a representative number of al/ other land Cover Codes. During the field preparation, the Photo Science will develop a plan that allows for the maximum number of COdes to be visited. Photo Science maintains that the photointerpreters assigned to this project are the ones that must participate in the field WOrk. The field WOrk effort will not be delegated to anyone not directly involVed in the photointerpretation process. Photo Science believes that the knOwledge gained from the field is critical to insuring a high degree of classification accuracy. Photo Science shall prOVide field verification as a COntrol measure for Photointerpretation, classification )f land Cover types, and project dOCumentalion. Field verification will inclUde visual assessment of elected Land Cover type. The Photointerpreter will a/so collect a GPS point for each field site visited. digital photo will be taken of each site at ground level and incorporated into the field data sheet and - 5 - the PI key. When Photointerpreters relum from the field they will incorporate all ground truth data collected and update the Pholointerpretation as needed. The Photo Science will utilize in-process, draft, and final review processes to assure a complete and aCCurate map prOduct are compiled. Emphasis will be plaCed on creating effective mechanisms that will aSSure quality results in interpreted data content and SUPfJOrting annotations. ac routines will be woven into the PI prOduction. All work compiled, including all classification COdes, will be reviewed upon complelion of each image title before the Photointerpretation begins Working on the next Image title. The Project Manager as well as other Photo Science Pholointerpreters will condUct 'peer reviews. of each completed image title. To promote consistency and accuracy, the Photointerpreter who did the original work will correct any and all edit calls associated with their own work. The emphasis of Photo Science's PI ac process will be to identify any critical defects, which could degrade the FlUCCS integrity of the lClU map. These defects may include: · Improper selection of collateral data. · Incorrect feature interpretation and COding. · No feature consistency across Project area. · Features not labeled Clearly or completely. · Incorrect polygon annotations. · Missing polygons. · No adherence to minimum acreage Size requirement. · Improper edgematch to adjoining maps. Photo Science's PI OA process will Continually incorporate measures to aSSure the highest standard of accuracy. In order to ProVide unbiased and unencumbered quality assurance, Photo Science will organize all quality assurance functions to be separate from, and to operate independently of, the prOduction team. This includes Checking each delineated image title, inspecting it to assure that all and cover features are property delineated and claSSified and are in compliance with a minimum napping imit. - 6 - Regular internal coordination meetings will be held between the Project Manager and the photointerpreters, the QAlQC Manager to discuss progress, findings, and any Problems or anomalies encountered. Items typically diSCUSSed include characterisfics of the imagery, cOllateral data, decision rules, and specific project objectives. The County is encouraged to participate in these meetings via conference call or web meeting or site visit. All land Cover features compiled by Photo Science will be meet the fOllowing standards for logical consistency: · Polygon line work will not be generalized along sinuous features. line work will properly characterize the shapes of boundaries appropriate to the resolution of the source Imagery. · Minimum dimensions of mapped features Will confonn the Minimum MapPing Unll. · In the unlIkely case that the source imagery does not edge match, Photo Science will notify the County for resolution · Identically COded POlygons will not be adjacent 10 each other within a feature class · All features will exist wholly within the registration coverage title bounding arcs · There will be no duplicate features · Topology rules will be validated and COrrected prior 10 delivery of each and any deliverable · All tolerances will be consistent across all deliverables. Photo Science will assure POSitional accuracy by cheCking that all COOrdinates are referenced, maintained and delivered in the State Plane COOrdinate System, Florida East Zone, unils SUfVey feet, North American Datum (NAD) 1983/99 (NAD83/99). Projection information will be present in the metadata file and accessible through ArcCatalog Photo Science proposes that the thematic accuracy of the land cover dafaset delivered to the County will have an overall minimUm thematic classifICation accuracy of 90%. This overall classification aCCUracy will be calculated as a weighted average of all classes for each deliverable weighted by total 3rea COvered by each class. Photo Science propOses to confinn the thematic accuracy of the lands :over data set with a thematic accuracy assessment. 1e attribute table will contain their contract Specified fields in the correct order and defined correctly. .ere Will be no Super1luous attributes or attribute fields in the final deliVerable. All fields Will be Coded Tectly and completely. There will be a value in every POlygon for every attribute. - 7 - P.I. Decision Notes and General Notes will be filled out whenever deemed useful or appropriate by Photo Science's Photointerpreters and will be standardized in such a way that allows identical commentslissues to be identified. There will be a value in every pOlygon. Where no value applies the default will be "N./A", Attribute Codes: At a minimum, the following attributes will be aSSOCiated with each digitized polygon: · LCCODE This attribute will be pOpulated with a land COver value based on the County classification system. This field will be present in the final deliverable. · MOdlrter This attribute will be used to add additional detail to the classification, Such as temporary conditions, minor features or management factors, that may be of particular interest to the County but do not warrant adding new classes to the Classification system. This will provide the County an OPpOrtunity to customize the classification Without effecting overall consistency. This field Will be present in the final deliverable. · Photolnterpretatlon Code The Photointerpreter reSpOnsible for the Land Cover determinations Will be identified by this COde value. This field will be present in the final deliverable. · PI Decision NOles This attribute will use standardiZed COdes to reCOrd iSsues regarding the interpretation decision made for an individual pOlygon. This field Will not be present In the final deliverable, · General Notes Decisions that record uncertainties or level of confidence will be recorded in this note field. Also, general rules for anecdotal data unrelated to the PI decision will be referenCed here. This field will not be present in the final deliverable. · Field Check. Features identified for verification in the flflld are identified with this field. The Photo Science will develop QC protOCOls SPecific to this project that will ensure that all deliverables meet or exceed all accuracy standards established for this project under Monroe County's RFP. Photo Science's QC and editing process will Continually incorporate measures to assure the highest standard If accuracy. Photo Science shall hOld periodic COordination meetings between project management, hotointerpreters, and related project sUPpOrt personnel to discuss progress, findings, and any l)blems or anomalies enCOUntered. The County is encouraged to participate in any of these meetings I conference call, web meeting or site visit. - 8 - , ac routines, developed by Photo Science will be used to review the digital data. In summaI)', Photo Science's automated and non-automated QClQA routines will insure that the fOllowing standards for logical consistency apply: · Polygon topology ;s present and verified using the fOllowing rules: do not overlap and do not have gaps · Correct application of the MMU · No duplication of features · No sliver polygons will exist · No label errors Will exist · No contiguous polygons Additionally, Photo Science's OAIQC Process will insure all standards for pOsiUonal aCCuracy apply 10 this mapping effort. This includes inSuring that all COordinates are referenced 10 the State Plane COOrdinate System, FlOrida East Zone, units survey feet North American Datum (NAD) 1983-90 (HPGN). All Projection information will be Present in the metadata file and be accessible through ArcCata/og. Pholo Science's process Will inSure that the attribute table COntains their AreGIS Coverage default items and contract specified items in the correct order and defined correctly. There will be no superflUOUs attribute tables or attribute items in the final deliverable. All items Will be Coded correctly and completely. There will be a value in eveI)' POlygon for eveI)' attribute. Where no value applies, we Will use 9999. All .pat and .aat table definitions will be consistent across all deliverables. Photo Science shall produce a Photointerpretalion (PI) Key for the COunly. The PI Key Will be develoPed in order to dOCUment the decisions and mapping conventions applied during the photo interpretation prOCess. It will describe and illustrate the ClaSsification system in detail. The PI Key will be used to assist the photo interpreters compile the land COver features and help to ensure that the photo interpretation is conSistent throughout the project. It will be designed to prOvide descriptions of the visual and Spatial distribution characteristics of the claSsification Iype Used for the project and documents any special mapping conventions which may be develClped. Its purpose is to define a ;ammon set of rules and standards that can be applied by many different interests to arrive at a 'onSistent interpretation. Additionally, the PI Key will Contain the general logic and details behind the ecision rules for producing the land Cover dataset. These details will be in the form of documentation at lists the appropriate Land Cover classes. - 9- j Since the potential set of rules can be complex and endless, the County will be provided with a practical level of useful details confooning to the methodOlogy and to the specific capabilities and needs of targeted users. The PI Key also serves to provide insight for future users into the rationale for the delineations and classifications appearing within the database. The PI Key will be In a dIgital format and will include the County's classification system. Users will be able to access the PI Key, POint and click on a selected code to access the Photo interpretation Key file which describes the selected COde. Aerial images will be clipped from the original imagery used for the photo interpretation. These image clips will be displayed on each key page. In addition, field pictures taken at ground level of each 'and cover code representing each classification type will also be inclUded on each key page. Guidelines for each land COver COde specific to this project will be specified in the PI Key. Each PI Key page will describe a unique land cover classification. The fOIlOw/ng sections will be included on each page of the key: 1. ClasslHcat/on COde: Indicates the land cover COde as applied during photo interpretation. 2. Land Cover DesCription: This is the definition of the classification COde exactly as It appears within County documents. 3. Keys to Photo Interpretation: These will be desCriptions Which consist of the typical characteristics of each land cover COde. Features which are aSSociated with the class and which are visible on the imagery will be described. The apparent signature (colors, tones, textures, etc.) of the land cover COde on the imagery will also be described. 4. Special MapPing Conventions: Describes the photo interpretation or mapping rules established to address the partiCUlar classification code. 5. Metedata: Documentation that deScribes the methods uSed to produce the PI Key including prOblems encountered, problem resolution, clarification in SCOpe, etc. The metadata compiled will comply with Federal Geographic Data Committee (FGDC) STO-OOl-1998 Content Standards for Digital Metadata (version 2.0). 6. Anecdotal infoonation inClUding problems encountered and remedies deployed. r 0 add clarification to the dOcument, the approved PI Key may be modified with County approval dUring 'roject implementation. It may also be necessary for land COver classes to be fTIOdified during mapping ased on project working experience with the Land Cover ClaSsification system while maintaining . 10- consistency throughout the project area. All such changes will be submitted 10 the County for approval before processing. All mapped classes will be appropriately represented in the PI Key. The PI Key will be thoroughly tested to insure it is comprehensive and user friendly. FOllowing intemal testing of the PI Key, Photo Science will meet with County staff to demonstrate and deliver the PI Key as well as to demonstrate the working environment dedicated to this project. To insure the land cover dataset delivered to the County has a minimum classification accuracy of 90- percent for each Land Cover category at a confidence level of gO-percent, and that the overall accuracy of each section deliverable will have a minimum classification accuracy of gO-percent at a confidence interval of gO-percent, Photo Science proposes to conduct a thematic accuracy assessment as part of the QA procedure PRIOR to final delivery. Photo Science prOPOses to use a quantitative method (a statistical approach) deScribed by Conga/ton and Mead (1983) to detennine thematic accuracy of the final Monroe County land Cover maps to be compiled. This method involves comparing the results of two separate and independent classifications of the same features. The first classification results from the initial 2008-D9 Photo Science map compilation effort Ihat used a combination of photointerpretation and field work techniques. The second classification results from the classification derived an independent Photointerpretatlon conducted by HOR combined with direct field observations as needed. Similarities and/or differences between these two classifications (Photo Science and HOR) shall be displayed in an error matrix, (also referred to as a similarity matrix). The resultant error matrix will be used to measure the overall thematic accuracy of the first classification results. The follOWing methodology shall be deployed: Step 1: Photo Science will use GIS tools to select a minimum of 20 POlygons from each land COver COdes from the classification that Photo compiled. This equates to Over 200 polygons. Science Step 2: Photo Science shall drop all attributes associated with each of Ihe elected. leaving only a polygon ID. polygons - , J - I I Step 3: Photo Science subcontractor (HOR) shall conduct an independent classification using Photointerpretation techniques of the selected polygons without referencing Photo Science's Original classification. Signature identifICation may require field work. HOR classification results will be compared with Photo Science's classification. The fOllowing infonnation shall be displayed when comparing these two datasets: · Total number of polygons for each classification, · Number of polygons which are correctly classified, · Number of polygons that are incorrectly classified. Photo Science shall perform a statistical analysIs by running the Arc Intersect Command within ArcMap. This command allaws the user to overlay !he polygons from the original Photo Science classification and the seCOnd classification conducted by Photo Science's Subcontractor (HOR). The resulting output will have the combined attributes of the features in the two inputs. From !he analysis of !he Arc Intersect generated layer, Photo Science shall compare the claSsifications from the fwo Sources. The 'Notes' field within the Geooatabase shall be used by Photo Sctence to document comments for the sampled polygons as well as to identify where any errors are OCCUrring outsIde of the sample polygon datasets. Photo Science shall then condUct a statistical analysis of the dataset. All generated polygons shall be combined to represent one batch sample. A statistical analysis shall then be performed Solely on !he batch sample containing all the sampled polygons. A similarity matrix (or error matrix) will be Produced as a square array set out in rows and columns expressing the number of POlygons assigned to a particular feature type relatiVe to the independent claSsification. Once the error matrix is generated it will be analYZed using a discrete multivariate analysis lechn/que using a program called KAPPA developed by Congalton et al (1982). The Kappa coefficient equation adjusts for polygons that may match pUrely by chance. The Overall classification accuracy will then be calculated as a weighed average of all classes (weighed by total area COvered by each class). The itatistics used will be the maximum likelihood estimate from !he multinomial distribution and shall be a neasure of the actual agreement minus the chance agreement. The variance of these estimates will !en be USed to construct a hyPOthesis test for significant difference at varying confidence levels to .termine if the two independent classifications are significantly different. The accuracy percentage . 12 - I shall then be calculated for each mapping code by dividing the total number of matching polygons by the total number of sample polygons processed. Finally, Photo Science will provide the County with a Thematic Accuracy Report which compiles the results of the statistical analysis. Results will be summarized in a conCise and organized form. The report will COmpare the data quality and discussed similarities and differences, prOViding condusions about consistency and completeness. This report will also indude suggestions as to what factors may have caused any observed differences and recommended possible remedies. Also included in this report will be a discussion on probable reasons why a POlygon may have been misclass/fled such as photo quality, signature variance, decisions rules, miSinterpretations, minimum mapping unit or aggregation, etc. The County shall be provided with the error matrix, a statistics review report baSed on the comparison of the two datasets and the KAPPA coefficient computation. The County will also be provided with a summa/)! of systematically mismatched classes on a spreadsheet. Photo Science shall proVide the County with high quality metadata that is compliant with the Federal Geographic Data Committee (FGOC) standards pursuant to Circular A-16 and Executive Order 12906. Photo Science will lead and organize all metadata creation and management activities for the land Cover database development efforts. - 13 - Exhibit B (Revised March 19,2009' to Contract with GMR Aerial SUlVeys, Inc. d/b/a Photo Science Task Project Schedule Assume Notice to Proceed: Date Photo Science Kick Off Meeting: Dec. 12.2008 Dec. 15.2008 COllect & Review Source Materials: Dec. 15.2008 Dec. 15,2008 Set Up Computer Environment: Monroe County / Photo Science Kick Off Meeting: Photointerpretation & QC & Draft PI Key: UPPer Keys Dellverabl. - Pre/iminal)' Draft Map Products of Upper Keys ayailable for County review: Fieldwork, Post field photointerpretation & QC, GIS Processing and QC Deliyerable - Draft map product of Upper Keys available for County review: Jan. 27. 2009 Jan. 28 - Mar. 31, 2009 Mar. 06, 2009 Mar. 16, 2009 Lower Ke}1l D.llverable - Preliminary draft Map prOduct of lower Keys available for County review: Apr. 17, 2009 Fieldwork. Post field PhotointerpretatJon & ac, GIS Processing & ac: Deliverable - Draft map ProdUct of lower Keys available for County Review Accuracy Assessment: May 11,2009 May 11 - Jun 5. 2009 Revised draft map for County review: County Review: County Review: Photo Science Edits. Metadata. Jun 5. 2009 Final Land Cove, Dataset. Me tadata. Final Report. Final PI Key. etc: Jun. 5 - July 5, 2009 Aug. 4. 2009 New Date March 11. 2009 May 1. 2009 May 25.2009 May 25-June 19, 2009 June 19,2009 June 19-July 20. 2009 $106.000.00 Payment Deliverable 8reakdown: Final Land Cover Oataset with Metadata Accuracy Assessment: Photointerpretation Key: S 91.000.00 S 10,000.00 $ 5.000.00 $106.000.00 Total: Note: Photo Science will proVide the County With monthly progress "'Polls and, if requested, prefimin3l)l draft map products on a monfhly basis. . .. .4 Exhibit B to Contract with GMR Aerial Surveys, Inc. d/b/a Photo ScIence Project Schedule Monroe County I Photo Science Kick Off Meeting: Dec. 22, 2008 Photointerpretation & QC & Drall PI Key; Dee 23 _ Feb 23, 2009 Upper Key. Deliverable. Preliminary draft map product Jan 30, 2009 of Upper Keys available for County review: Fieldwork: Post Field Photointerpretation & QC: GIS PrOCessing & OC: Dellverab,. - Draft map product of Upper Keys available for County review: Task Assume Notice to Proceed: Photo Science Kick Off Meeting: Collect & Review Source Materials: _. __~~t_ u.~ ~omput~r_~'!..v~onme~t: ... .. __ lower Keys' Dellverab'. - Preliminary draft map product of lower Keys available for County review: Fieldwork: Post Field Photointerpretation & QC: GIS PrOCessing & QC: Deliverable - Draft map prOduct of Lower Keys available for County review: Accuracy Assessment: Dellverabl. - Revised draft map for County review: County Review Final Land Cover Dataser, Metadata, Final Report. Final PI Key_. etc: Date Payment Dec. 12,2008 Dec. 15, 2008 Dec. 15, 2008 . Dec. 15, ~Oq8 '". _. -'. - - - - - -_. . - Feb 01, 2001 March 13, 2009 April 6, 2001 April 6, - 30. 2009 May 1, 2009 May 1 - 30 2009 June 30, 200. $100,000.00 CONTRACT MONROE COUNTY CONTRACT FOR PROFESSIONAL SERVICES PROFESSIONAl SERVICES TO OEVELOP GEOSPAllAL LAND COVER DATASET FOR THE FLORIDA KEYS THIS CONTRACT Is made and entered inlo this 17th day of December, by MONRoe COUNTY C"COUNTY"), a po/j!fcal subdivision of the Stale of Fbrlda, whose address is 1100 Simonton Slr8at, Kay West, Florida, 33040, and GMR Aerial SUI\iey&, Inc. d/b/a Photo Scia/ll:e, a Kentucky Corporation with an oflIca In St. Patel'&burg Florida, Whose addl8SS Is 10033 Martin Luther KIng Street, Suite 200. St Petersburg, Florida 33716. Section 1. SCope OF SERVICES The CONTRACTOR shaU do, petfonn and carry out In a Jlrofeselonal and proper Ill8nnar sel1lfces and dellverablll8 as d88Cribad in the Scope of SarIIfcas _ ExhIbit A _ WhIch Is ellached Ilerelo and mede a part 01 this agreement Reprasenlatlons made In the Resllonse 10 the Request for proposals furnished by the COnlnicltlr are inCOlJXJnlted herein as though flAly sel forth. Section 2. COUNTY'S RESPONS'8IUnes 2.1 ProvIde an best all8/lable data and base maps as 10 IIle COUNTY'S I'8<IL*8I1le1l1s for Work Assignments. Deslgna/e in Wl'illng a /l8I'8on wiIh aulhonly 10 act on lha COUNTY'S behalf on aU Il1aIteIs COIlCemIng the Work Assignment 2.2 Furnish 10 the CONTRACTOR aft 8Jdsllng plans, Slud/es, 18pOIts, and other awll8ble data pertinenl to the work, and oblaln or P<Ovlda addlliona/ rapolt8 and data as required by the CONTRAcrOR. Tha CONTRACTOR shall be enlilled 10 use and rely upon SUch information and senrices Provided by the COUNTY or ol/len; In /lllIfonnlng the CONTRACTOR'S senrlces. 2.3 Arrange for access 10 and make aU P<OlIis/ons for the CONTRACTOR 10 enter upon public and prl""te P<O/lllrly as reasonably required, and Iegslly allowed, for the CONTRACTOR 10 perform seMces hereUnder. Anyobalruc:lion 10 'Ud!acoass by PIi""te property ownars sllall not COI1sIilule a baS/s for wa/ller of any other required entries on to public and PTiwte Property, nor sha' it Provide a besis for lennlnalion of the contract. In the -tlhat SUch acceas Is so obstructed. CONTRACTOR and COUNTY shall work together to resolve the difficulty in a timely manner. 2.4 Perform such other functions as are indicated in ExhIbit A. 2.5 Provide a schedule lhatls mulualy agl8eab/e 10 the COUNTY and CONTRACTOR. Section 3. TIME OF COMPlETION The servfces 10 be rendered by the CONTRACTOR for each indMdua/ WOt'fc Older request shall be commenced UpOn written notice from the COUNTY and the WOt'fc shall be c:ompleled In accordance with the schedule mutualy agreed 10 by tha COUNTY and CONTRAcTOR. allached 10 this conlracr as ExhIbit 8, unlasa It shall be modIlIecIln a algned document. by the mutual consent of the COUNTY and CONTRACTOR. Subsequent &enIicas IhaII be Jl8Iformed In aCcordance with schedules of performance whlch shall be mulu8/1y 89I8ed 10 by COUNTy and CONTRACTOR. The County shall own all dellli&tablec, and shall hallll IOle r/ghll 10 reproduce and sea any data or derlvallve Informlllfon, and ConIractor shell have 110 copy right or right 10 sell the data set or derivative of the data set resulllng rrom IhIe RFP. Section 4. COMPENSAnON 4.1 Compensallon shal/ be as follows: lump Swn $100.000.00 (See ExIbIt B). SectIon 5. PAYMENT TO CONTRACTOR 5.1 Payment win be made according 10 the local Government Prompt Payment Act. Any request for peymant must be In a form satlsfaclo!y 10 the County CIeIIc (Clerk). The request must describe In detal/ the seMces perfolllled and the PlIY1llent amount requested. The CONTRACTOR mUst SUbrnilthe I8qUe8f 10 the COUNT!' Project Manager. who will review the request The ProJect Manager shall note hislher approval on the 19Queltand forward it to the Clerk for payment. If request for paYlTl8nt is not approWld. the Project Manager mUst lnfonn the CONTRACTOR In Writing !hat must inclUde an explanation of the de1lclency that caused the dlNppro\lll/ of the 19QUest. 5.2 CONTRACTOR shall submit progress report of actMtiea on a monthly or oIhel'Nise regular baais until the WOrk under this agreement Is completed. 5.3 This contract il conUngent upon appropriation of funds by Monroe County. SectIon 8. CONTRAcT TERMINATION The COUNTY may tenninals this contr&ct with fdleen dal/ll notice 10 CONTRACTOR, and wiU comP8llsate the conlractor for work done 10 the dale of notice. Either party may terminate this Contract because of the failure of the other party to perfom, its obligalfons under the Contract. If the COUNTY terminates this Contract because of the CONTRACTOR's lalJure to perform, then the COUNTY must pay the CONTRACTOR the amount due for all wed( safJsfactorily completed as determined by the COUNTY up to the data of the CONTRACTOR's failure to pedorm but minus any damages the COUNTY suffered as a result of the CONTRACTOR's failure to perform. The damage amount must be reduced by the amount saved by the COUNTY as a result of the Contract termination. If the amount owed the CONTRACTOR by the COUNTY Is not enough to compensate the COUNTY, then the CONTRACTOR Is liable for any additional 8II1ot.w1t necessal}' to adequately compensate the COUNTY up to the amount of the Contract price. Section 7. AUTHORiZATION OF WORK ASSIGNMENTS 7.1 All wed( assignments beyond or In addition to EXH'BIT "A" shall be aulhorized In a signed document (WOtk Order) in accordance with the COUNTY's peRcy prior to any work beIng conducted by the CONTRACTOR. 7.2 Additional authorizations may contain addltlona' InstructlollS or proloislons speclflc to tha authorized work for the PI.I/'P08e of c/arffyfng certain lISpeC\8 of thla Agreement I*llnent to the wed( to be undertaken. Such supp/emenfaj Instruction or provfsIons sh8lI not be construed as a mocl1ticatJon of this Agreement Authori2lltlons shall be dated and serially numbered. 7.3 The CONTRACTOR shan not assign, sublet or transfer any righls under or interest In (Including, but not without limitations, moneys thet may become due or mone~ thet are clue) this agreement or SUbsequent WOtk AssIgnment without the wrftten ~ of the COUNTY, except to the extant that any IISSignment, sublettfng, or transfer Is manclatad by law or the effect of this limitetion may be restrlcted by law. Unless spec/fiC8lly slate<l to the contral}' in any written consent to any 88S/gnment, no assignment will release or diScharge the assignor from any duty or /'8spOnslbilty under this 8llIMment. 7.4 The CONTRACTOR agrees that no cha~.. or claims for d8mages IhaII be made by't for any dela~ Or hindrances etlributable to the COUNTY during the progrese of any portion of the servfces 5P8dIied in this contract. SUch delays or hindrances, if any, shall be camp_led for by the COUNTY by an extension of time for a rea80nable l*iod for Ihe CONTRACTOR 10 complele the work schedule. Such an agreement shalt be made between the Parties. Section 8. NOnCES All nol/ces, requests and au/horlzallons provided for herein shalt be In a s/gnad document and shall be delivered or mailed to the addresses as follows: To the COUNTY: Director, Growth Management Division clo Monroe County Growth Management OMs Ion 2798 Overseas Highway, Suite 410 Malllthon. Florida 33050 And to: County Administrator Monroe; County Gato Building 1100 Simonton Street Key West Fl 33040 To the CONTRACTOR: G. Mlchaef Ritchie GMRAerial Surve)4S, Ine 10033 Martin Luther King Street, Suite 200 Sf. Petersburg, Florida 33716 Or addressed 10 either parly at SUCh other adchssas as SUCh parly shall hereinafter furnish to lhe olher patly In wrftIng. Each sUCh notice, reqUllSt, or authorization shaH be deemed to have bean duly given when so delivered by hand, or, If mailed, when deposited in the mll/ls, cerUrled malt, relurn r8CaJpI requ8afed, or by courlar with Proof of delivery . Sectfon 8. RECORDS CONTRACTOR shall maln/ain all books, recon:ls, and documents direclly P8I1Inenl 10 ,*,ormancs under II1Is Agreemantln acconlancs with generally aCC:Spted accounUng PrInciPles conslslenlly applied. Elich Parly 10 thl. Agreemenl or IheIr suthOl'izsd r&pressnfafives shall have reesonable and IImaly acc:sss 10 such IlICOrds of each other PBrly 10 1111. Agreement for public rllCOrd. pu~ during /he term of the BgI8emenf and tor feu )'88IS following /he lennlnatfon of this Agreement If an aUditor emplo)l8d by the COUNTY or eM de/ennlnes lhaI rnc>neys paid 10 CONTRACTOR pursuant 10 lt1is Agreement were spent for IlU1pooq no/ -.--... -... ..... authorized by Ihls Agreement, ltle CONTRACTOR shall repay the moneys together wfIh interest calculaled pursuant to Sec. 55.03, FS, running from the date the moneys were paid to CONTRACTOR. Section 10. EMPLOYEES SUBJECT TO COUNTY ORDINANCE NOS. 010 AND 020-1_ The CONTRACTOR warrants that it has not emplo)'8c:l, retained Or otherwise had act on its behalf any former County officer or employee subJect to the prohibition of Section 2 of Ordinance No. 010-1990 0< any County oflIcer Or em~ in IIiolatlon of Section 3 of Ordinance No. 020-1990. For breech or violation of fhjs provision the COUNTY may, In ils discretion, terminate thIs agreement without Dability and may also, In its dilcr9tion, deduct from the agreement or purchase price, or olhe1wlae r8OO_ the fill amount of any fee, commission, percentage, gift, or consideration paid to ltle fanner County oflIcer or employee. SectIon 11. CONVJCTED VENDOR A person or aftifrate who has been placed on the convicted vendor list following a COIIVIclion for pUblic entIty crime may not submit a bid on a conlracl w/Ih a pubtic entity for the constructfon or repair of a public buUcllng or pubic wort, may not Jl8I'form WDfI< 88 a CONTRACTOR, SUPPlier, SUbcontractor, or CONTRACTOR under contract WIth any jltJbllc lIl1llty, and may not transact business With any public entity in excess of thelhreshold amount provided In S8Clion 287.017 of the FlorIda Statule8, for ltle Category tv.o for a period of 38 montha from the date of being placed on the convicted vendor Jist. Sectlon 12. GOVERNING LAW, VENUE, INTERPRETATION, COSTS AND FEES This Agre.nent shall be goll8med by and construed In aCCOrdance IYilh the laws of the SllIte of Florida applicable to contracts made and !o be performed enllrefy In the State. In the 8II8nIlhal any cause of action or administrative Proceeding Is Instituted for ltle enforcement or inlerpt'8lalion of l1Iis Agreement l1Ie COUNTY and CONTRACTOR agrae that venue shll/llle In the appropriate court or before the approPriate Ildminislrative body in Monroe County, Florida. itVs agreement Is not subject to arbItration. Section 13. SEVERABILITY If any term, OOwnant condition or provision of this Agreement (0< the application thereof to any citcumstance or person) shalf be declared invalid or unenforceable !o any extant bye colWt of competent jUrisdicllon, the remaining tanns, covenants, conditions and prollision. of this Agreement. shall not be alfected thereby; and each remaining tenn, COVenant, condition and provision of this Aor_nt shall be valid and shali be enfon:eabfe to !he fullest extent pannilted by law lJr1less the enforcement ot !he remaining terms, covenants, conditions and provisions of this Agreement WOUld prevent the accomplishment of the original Intent of Ihls Agreement The COUNTY and CONTRACTOR agIM to retonn !he Agreement to replace any stricken Provision with a IIB/id provision that comes as close as POSSible 10 the intent of the stricken provision. Section 14. ATTORNEY'S FEES AND COSTS The COUNTY and CONTRACTOR agIM !het In the event any cause ot action or admlnlstratfve PTllCeeding is initiated or defended by any party relalllie to the enforcement or i/lterprelatfon ot this Agl'll9menl!he prevailing party shaN be entitled to reesonable attorneys tees, court costs. investfgatfllB, and out-ot-pockellexpenses, as an award against !he non-Prevaillng party, and shaa Include altomay's tees. courts costs, Invastfgallve. and out-of-POcket elCpllMes in appellate P/OCeedW1ga. Mediation Proceedings Inltfated and conducted PUlJIUant to lhis Agreement shall be in aCCOrdance with the FlorIda Rules of Civil Procedure and usual and customary PfOcedures required by the circuit court of Monroe County. SectIon 15. BINDING EFFECT The terms, COV9nanf8, conditions. and provlslona of Ihls Agreement shall bind and inure to the beneflt of !he COUNTY and CONTRACTOR and their reSP9dlll8 legal rell'llS8ntalillea, successors, and assigns. SectIon 18. AUTHORITY Each party represents and warrants to the other thetthe execution, deUvery and P91fonnance ot this Agreement have been duly authOl'ized by ali neceaaary COUNTY and COIpotale aellon, as required by law. Section 17. ADJUDICATION OF DISPUTES OR DISAGREeMeNTS COUNTY and CONTRACTOR agree that all disputes and dJaagreemenlll shall be attempted to be I'9SOIIIed by meet and conter -.ona ~n repreaentstfvas of each of the P8Ifles. It no resOlution can be agreed upon with... 30 days aller !he first meet and confer seSSion, !he issU8 or issues shall be dl8CU8Sed at a pubfic meeting of !he Board ot County Commissioners. It Iha Issue or Issuea ara atlll not reao/\I8(j to the satisfaction of the P811tea, than any party shall haw the right to seek such r.,1et or rumeay aa may be Provided by Ih/s Agreement or by Florida law. -----...-- -. Section 18. COOPERATION In the event any admlnlSl1a!ive or legal proceeding Is instituted against either party relating to the fonnatjon, execution, perfonnance, or breach of this Agreement, COUNTY and CONTRACTOR agree to participate, to the extent required by the oltter P81fY, in a' proceedings, hearings, P/"OCesses, meetJngs, and other act/vilies relal&d to the SUbstance of this Agreement or provision of the S8tIIices under this Agreement. COUNTY and CONTRACTOR specjtiClllly ag_ that no party to this Ao-.,ent sha' be required to enter Into any arbitration proceedings related to thi. Agreement. hctlon 19. NONDISCRIM'NA nON COUNTY and CONTRACTOR agree that there will be no discrimination against any person, and It Is expressly understood that upon a determination by a COUrt of competent JUriSdIctIon thet discrimination hes OCCUtTed, this Agreen,ent aulomallcally tann/natas Without any rul1her action on the part of any party, eIl'ectIve the data of !he COUrt order. COUNTY or CONTRACTOR agree to comply With an Federal and Florida statutes. and all local onIInancas, as applicable, relating to nondiscrimination. These Include but are not limited to: TItle VII of the CivIl RigIQ Act of 1964 (Pl 86-352) which prohibits dlscrimlnallon on the basis of /lice, color or national origin; Title IX of the Education Amendment of 1972, as amended (20 USC as. 1681-1683, and 1685-1686), which prohibits discrimination on the basis of sex; Section 504 of the Rehabilitation Act of 1973, as amended (20 USC s. 794). which Prohibits dIscrimination on the basis of handicaps; The Age DISCrimination Act of 1975, as amended (42 use ss. 6101-6107) which Prohibita dlacrlrninallon on the baSis of age; The Drug Abuse 0Ilice and Treatment Acl of 1972 (Pl 92-255), as amended, raJating to nondlscrimlnallon on the basis of drug abuse; The Comprehensive Alcohol Abuse and Alcoholism Prevenllon, Treatment and Rehabilitation Act of 1970 (PL 91-616), as am8llded. ralating to nOndiscrlmlnat/on on the basis of alcohol abuse or alcoholism; The Public Health Service Act of 1912, as. 523 and 527 (42 USC as. 890dd-3 and 29Oee-3), as 81l18nded, relating to contldentla/lty of alcohol and drug abuse patant I8COrda; ntIe VIII of the Civil RIghts Act of 1968 (42 use s. el """.), as amended, relating to nOndiscrimination in the sale, rental or financing of housing; The Americans with Disabilities Act of 1990 (42 USC s. 1201 Note), as may be amended from lime to time, relating to nOndlscrlminallon on the basis of disability; Any other nondiscrimlnallon Provisions in any Federal or state statutes which may apply to the parties to, or the SUbject maltllr of, this Agreement. Section 20. COVENANT OF NO INTEREST COUNTY and CONTRACTOR covenant that nBither Pl9Senlly has any interest, and sheD not acquire any interest, Which would conlBct in any manner or degree with ills P8Ifonnance under this AQr8ement, and that only Interest of each Is 10 perform and I1Icelve beneIIts as recited In this Agreement. Section 21. CODe OF ETHICS COUNTY agrees that otrlC8l'S and employeeS of 1he COUNTY recognize and wiD be /'8quired to comply with the standards of conduct for pubUc oIllcers and amployees as delineated in Section 112.313, florida StatUt88, regartflng, but not IImIled 10, soIIcItaflon or aCC8plance of QItls; doing bUSIness wllh Olle's agency; unauthorized compensation; misuse of public /lOSIflon, contlrctlng employment or contractual relationshfp; and disclosure or use of certain Infonnaaon. Section 22. NO SOllC'TAnON/PAYMENT The COUNTY and CONTRACTOR wanant that, In resP&Cl1o itself, It has neither employed nor retained any comp&ny or person, other than e bona fide employee WOtkIng aoIeIy for it 10 sonell or secure this AGreement and that It has not peld or agreed 10 pay any person, COfIIpany, COlpOl'lIlfon, Indlvldual, or tIrm, other lt1an a bonafide em~ WOrking so/eIy for It, any fee, commission, P&rCentalle, gl/l, or other conaidatatton contingent upon or rwsultlng from the awatd or maktlg of this AGreement For the breach or IIfotatlon of the provision, the CONTRACTOR agrees that the COUNTY sharI have the right 10 terminate !his Agl'B8nt8nt INithout /Iabarty and, at Its d1scratlon, to offset from monies OWed, or olhetwise raco_, the fu. amount of Such fee, commission, percentage, gfff. or consideration. Section 23. PU8UC ACCess The COUNTY and CONTRACTOR shaD allow and permit reuonable access 10, and inlP8cllon of, al documents, paP&r8, latIera or other malerfals in ita ~lon or Under Its control subject to the prollisiona of Chapter 119, Florida Slalut88, and made or received by the COUNTY and CONTRACTOR In conjunction With lhls Agreement; and the COUNTY shaO have lhe rfghllo unila!enllly cancel Ihis Agreement UPOn WoIallon of this PI'Ol/is/on by CONTRACTOR. Section 24. NON-WAIVER OF IMMUNITY Nofwilhstanding the provisions of Sec. 768.28, Florida Statutes, the participation or the COUNTY and the CONTRACTOR In this Agreemenl and lhe acquisition or any commerclel liabmly insurance coverage, selt"-insurance coverage, or local govemmenl liability insurance pool COV8lage shall nol be deemed a waiver or immunity 10 the extenl of liabilily coverage, nor shall any contracl enlered into by the COUNTY be requlred to contain any provisIon for wai_. Section 25. PRIVILEGES AND 'MMUN,nes All or the Privileges and Immunll/es rrom Nabi/ily, exemplfons 110m laws, Ordinances, and rules and penSions and relief, disability, wori<ers' compensalfon. and other bene/ils which apply to the aCl/vlty or offloers, agents, or employees of any public agents or employees of the COUNTY. when perfannlng their /'8Spectlve functions Under this Agreemenl within the temlorlal IImils of the COUNTY shall apply to the same degree and eXlen110 the PENfonnance or sUch runctlons and dulles of sUch offiCers. agents, IIlllunleers. or employees outside the Ienilorial.miIs of the COUNTY. Section 28. LEGAL. OBUGAnONS AND RESPONS'BlLlnES Non-OeIegation or ConStitutional or Stalutory Duties. This Ag~11s not Intended to, nor shall II be construed as. relieving any per1lciP8ting "nlily from any obligation or IllSpOnalblily imposed upon the entlly by law except 10 the elClenl of actual and lImely performance lI1el'8of by any PBrticlpallng entily, in WhIch caae the PBrformance may be otrerud In sallsfactton of lI1e obllgetion or responsibility. Further, this Agreement I. nollnlencled 10, nor shell It be constI\lecl as. authorizing the delegation of the constitutional or slatulory dullee of the COUNTY, excepllo the extenl permllled by the FIOride constitution, state statute, and case law. SectIon 27. NON-RELIANCE BY NON-PARnES No person or enlity shall be entitled 10 rely Upon the term., or any of them. of this Agreemenllo entorce or attempt to emorce any third-party claim or entltfement 10 or benefit of any service or program contemplated l1-.xler. and the COUNTY and the CONTRAcTOR agree thaI nellh81 the COUNTY nor the CONTRACTOR or any agent, O/llcer, or employee of either she' have the authority 10 Imann. COUnsel, or oll1_.e Indica Ie !hal any particular illdMdual or group of individuals, 8n1ily or enUlIee. have 8nllllements or benefits under thIs AQre.nent separate and apart, Infertor to, or superior 10 the community in gel18nll or ror lIle ~s contemplated In this Agreement. -'...- -. -.. ~on28. ATTESTAnONS CONTRACTOR agrees to execute such documents as the COUNTY may reasonably require, to include a Public Entily Crime Statement, an ElIlics Statement. antl a Drug-Free WOI1<pIace Statement. SectIon 28. NO PERSONAL UAB'LlTY No CO\I8nant or ag_nt conbIlned herein shall be tleemed to be a covenant or ag-ent of any member. officer, agent or emp~ of Monroe County In his or her IncllvicluaI capac/ly, and no member, oIfk:er, agent or employee of Monroe County sheN be liable P8ISOnaIy on thia Agreement or be subject to any pa/llonalliablllty or accountability by reason of the executlon of this Agreement. Section 30. EXECUTION IN COUNTERPARTS This Agreement may be executed In any ntnlber of counterparts, each of which shell be regarded as en original, aR of which taken logettw shall constitute one and the same Inslnlrnent and any of the parties hereto may execute this AcInIement by signing any such COUl1letpart. SectIon 31. SECTION HEADINGS Section heatllngs have been Inserted In IIlIs Agreement as a mailer of Clln\/8lllence of leterenca only, antl n is agl'8ed that SUCh section headings are not a part of this Agreement and will not be used In the Interpretation of any provision of this Agreement. Section 32. INSURANCE POUCIE8 Wllhin two weeks of execuflon of lhIs &greafllenf, or prior to col1llllencing WOlfe, the CONTRACTOR shell furnish the COUNTY Certilicates of Insurance indicating the foOowing coverages or In excess thereof: · WOll<ers Compensallon in the amount of statutory Umits as specified In Florida Statutes 440. · Employers Uabllity with: $500,000 Bodily Injury by Accident; $500,000 Bodily Injury by Disease, porley limits; and $500,000 Bodily Injury by Disease, each employee, · General llabilily (Premises operations. blanket conlradtJal. expanded definition of Property damage, prOducts & completed operations, per'SOnaJ injury) with: ----..---- ..~._. _.. $250,000 per Person; $500,000 per occurrence; and $50.000 property damage or $500.000 Combined Single Limit. · Vehicle Liability With: $100.000 per Person; $300,000 per OCCurrence; and $50.000 PRJperty damage or $300.000 COIIlblned single Hmil. · Professiona' Liability with: $500,000 per Occurrence; and $1.000,000 Aggregate. Section 33. 'NDEMH'F'CAnON The CONTRACTQA does "-by consent and agrw to indemnify and hold harmless the COUNTY. Its Ma}lllr, the Board of County Commlsslonenr. apPCllnted Boards and Commissions, otIIcers, and the Emplo~, and any other llQ8nls, Indlvidually and collectill8ly. from all tines. suits, claims, demands. actions. oostB. Obligations, allomeys fees, or llabHIty of any kind arising out Of the sole negligent actions of the CONTRACTOR or subslantJaI and UIl'-saty delay caused by the WIllful nonperformance of the CONTRACToR and shell be SO/eIy 188llOnSlble and anSWIIl8b1e for any and all aceJdents or Injurfes to persons or property arising out of lis P8ffonnance of this contract. The altlOWlt and type of lnslJlllnce COllWl'8ge requirements set forth hereUnder shall in no way be conSltued as Iimiflng the SCope of indemnity set rortIIln this paregreph. Further the CONTRACTOR agrees to defend and pay alllagel costs allendanl to acts allrllulable to the sole negligent act of the CONTRACTOR. At all times and for all pulpOses hereunder, the CONTRACTOR ill en Inde/l8lldent COIlfr8ctor and not an 8mplo)ee 01 the 80atd of CoiOy Commissioners. No slalament COIllalned In this agreement shall be CCJnslrued so as to ffnd the CONTRACTOR or any of hislher emp/o)ees. COIltractons, S61Wnls or agenfll to be emplo)ees of the Board of County Commlssion81S for Monroe County. As an inde/l8lldenl contractor the CONTRACTOR Shall prollide Independent, professional jUdgment and comply with ell federal, stala, and local statutes, ordinances, I1J/e& ana regulations applicable to the S81Vices to be provided. The CONTRACTOR shall be "'SIlOnSil/e for the completeness and accutacy of its WOrk, plan, sUPPOr1ing data, and other dOCUments prepared or COIIlp/leef Under ils obligation for !his project, and shall correct at its ellpense aU significant errors or omissions therein which may be disclosed. The cost or the work necessary to correct those errors altributab/e to the CONTRACTOR and any damage incurred by the COUNTY as a result or additional costs caused by such errors shall be chargeable to the CONTRACTOR. This provision shall not apply to any ma,.,~ records, contracts, or other data that may be provided by the COUNTY or other pu6_.~ iil'iC agencies. \s , - : I : l{ J BOARD OF COUNTY COMMISSIONERS . ,........ .. ~ KOlHAGE, CLERK , FLORIO ~)r-~. h-..,...;-.. Mayor George Neugent ATTEST: w-i~~~~ Print name By-~/~~~ G. Michael Ritchie President/CEO GMR Aerial Surveys, 'nc. Date: ./ Z - / z -4?'B Wtness ~ ctJf -11MLK 11. Ktf>i)f/ Print name ;::) ~ ~ C':: C .J ~ ~ 0 S . t: ..... U :~ ;.: Li..: -- 0: ..c :') :.:: ~ cr J_ --' 0 '.0 ~o , - - . . -- :z: :......._...~ C -.:J~ ; - -~ =: U-J -, :~ '.~ :-~.' C1'" ...; C. - c;:- i... c;... t: "'" MONROE' COUNTY ATTORNEY APPROVED AS. TO FORM: -~~ -~~ S 4 N'~ GAIMSl-i{ ASS! A~~~~TYATTORNeY 0.,. ,-. exhIbit A to Contract with GMR Aeri.' Surveys, Inc. d/b/a Photo Science Scope of Work Photo Science wl/J provide Monroe County with professional mapping services using a well established methodology proven on sImilar projects within Florida and other similar projects throughout the United States. The delineation end clasSification of each land co-rwe will be performed by uniquely qualified p/!ololnterplflters who have strong b8Ckgrouncfs in natural resoun::es and geography and who haw an In-depth knowledge base of land use and land COII8r types spec/flc to Aorida natura/ systems, agrfculllnl, as welf as high density l'8lIidenllal, commercial, and industrial areas. The SFWMD 2004-2005 FLUCCS dalaset, along with the 1991 Advanced 'denti1icatlon CADIO) land co_ feature class dalasetlflf8RlnC8C1 In 1I1e County's 8O//c/lalion are ideal souroes of collaterer data 11181 will be re'-nced 1I1roughout Photo ScIence's productfon work flow. During the Photointerpretallon Jlf'OOess Photo ScIenca will only reference the COllateral data and not use any of the line work from these Previous mapping effo11:&, (I.e., ADIO, FlUCCS). Rather, the 2008-09 mapping etrort wll be oomp//ed using only origina/Iine work with 1I1e possible exception of shoreline data. Photo Sc:lenoe will apply the County's New Potential Land Co_ Ca/egories c1assiflcallon summarized below. · ImP8nlfous Surface: surface whJch does not allow. or minimally allows, the penetr&lfon of water; Included as examples are bullcllng roots, nonnal concrete and asphalt pavements, and some tine-grained soils, such as clays. · Scantled Land: upland areas that haw been cleared for develOPment already d_loped and or once were cfeared and haw been left un!ouched since that stage allowing naturel and exotic vegetation to re-vegetate. · Beach Benn: a sandy shoreline wi1l1 a mound or ridge of unconsolidated sand thet is immediately Iandwall1 of, and usually Il8rallelto, the Shoreline and beach. The send Is calcareous materia/that is the remains of marine organisms SUCh as corals, algae and molluscs. The benn may indude fol'llSIed. coastal ridges and may be COlonized by hammock vegetation. · Hammock; This was used to designate most of Ihe upland and upland hammoclc vegetafion found throughout the KllY$ Ihal is natural and generally UIldIsIultled. · Pineland: an upland '01881 community with an open canopy dominated by the nallve slash pine composed of known species. · El<OI/c: Invasive exotic spedes Include Melafeuca, Australian Pine, Brazilian Pepper, Leatherfeaf and SaPOdilla north of the seven mile bridge. · Scrub mangrove: Typjcelly found in the lower Keys. coastal scrub mangrove of dlNart mangrove are domlnaled by known species. Planta are typically less then 5' 1811. · Freshwaler Wellend: weiland ereas with efthet slandlng water Of saluraled SOl or both Whe/8 the waler is fresh or braclcIsh COIllposecf of known SPecies. Soma Fl88hwater Wellands a/8 IsoIaled lIfld lharafore not subject to the MMU of 0.5 aClV8. RlIIher, photointelpl'lllers WIll de/ineale them WIthout regard to the MMU. · Salt Marsh ButtonWOod Wetland: Transitional areas located between lidall118l1groves and hammocks dominated by known species. · Mangrove: a wetland plant 8SSOcfaUon SUbJect to lldal lnlluence Where the YeglItaIiOll is dominated by Black, White or Red mangroves. · Water: All water bodIes both fresh and tidal (salIne). Photo Science shall capture land cover features at the MMU of 0.5 acres with the exception of Isolated wellands. ISOlated wetlands wlU be IIIapped aleven smaller MMU's. Photo Science proposes a vector land COVer dala set be comPIled from source imagery al the determined MMU. Format will be 8n ArcG'S GeOdatabase. Photo Science's work flow is summarized as follows: Note that Qualily Assurance and Quality Contro' (QA/aC) procedures will be integrated through this work flow. · Kick-off meeting with the County · Collect and review collateral and source imagery · Set up computing environment · Data preparation · Photointerpretatlon (pr) · Field work · PI Update · GIS ProcessJng · Metadata · Thematic Accuracy Assessment · Final Report · County Review · Project Close out Photo Scienca will Provide the Counly with detailed progress reports on a monthly basis. All source maleriafs received from the County will be controlled using a chaifHlt-cuatody documentation llfOCedures which will IIack aI source malerials including the requIred referenced materlals and optional ref8l8llCed materfafs Provided to the team by the County. Photo Scienca wfU Produce e spalialfy, thematlcally and technically accurate ArcG/S 9.3 Land Cover 9eadatabasa from the digital !lOUtee ImaQ8lY. The Land Cowr data... dell8fopmenl will include documentation and metadata describing the methods and products. Photo Scienca will create a new /and cover dalasellhat is correct In both classification and POS/lIonal accuracy. Photo Science will create Ih/s dalaset using uniquely qualified Photointarpreters who h8llll slrong backgrounds in natural Alsourcas and geogAlphy and who have an in-deplh knowledge base of Land Co\/8r Iypas sP8clllc 10 the Florida Ke~ natural s~lems. as well as high density tct8kten1ia1 and commlltC/a/ 81'888. All of Photo SclenCOl'S Pholointerpralers assigned to this project will famllarize /ham...... with 8pectral signatures aSSOCiated with the project WOrl< areas to gain the necessary knowledge 10 establish the decision rule criteria nec:essary for accurate and consislent photointefJ)letallon. All of Photo Science's pholointerprelation will adhere 10 a minimum mapping unit that meets or 0.5 aents (except welfands Isolated which WIll be maPPed It _n on the Imagery regardless of the MMU) or other MMU defined by the County. Photolnterpreters wllf delineate and classify land Co_ with the approprfate cla8llification cod8$ by utlllzlng the basic photo elements of shape, size, pattern, Shadows, lone, texture, site, and color. These basic characteristics of photographic Images provide distinct "clues" 8$ 10 the Proper classification of a mapping unft. Using collateral data, IncludJng Input I'rom the on-slte field Wriflcatlon, our phOlo/nterpretel$ WID ba eble 10 classify and delineate the land Cover fealul'8$ throughout !he Project area. Photo Science's pholointerpretars shall be able 10 distinguish between 8nd among sublle spectral signatures. Mast of the land Cowr featul'8$ will ba dallneated and cIassHled by Pholo Science In a heads-up digital environment mOllOSCOpical/y. If, stereosCOpIc viewing Is required Photo Science WIn do so USIng Socket Set SOft copy Ilhotogrammelrlc worIcstatlons for on- screen stereo-llfewing of 2006 pan-chromatic ADS40 imagary. Photo Science Pholointel'Pl8ters will reference aD appropriate collateral dala aiong with input from County staff. This PAlPOsed llpproach follows standard aerial Photography interpretation techniques that have been successfully USed on similar Inventories of large geographic areas. When using the 2006 ADS40 Imagery, Photo ScIence phOloi/Jterpreters WI' Undoubtedly document diacntpancles between the lime of the source photography (2006) was taken 8nd current (2oog) ground lruIh field conditions. It Is anllcipated that many of tI1ese types of discrepancies between source imagary and ground truth WIN be aSSociated with recent urban development on Prevfously non-de\l8/oped land. Although the source imagery typically takes priority on 111_ types of situations, Photo Science pholointerpretllnl will note the discrepancy and COnsult the County for advice. If during the phololnterp,elation and /Ield verification effort Photo Sclence feels that llIOdirl8l$lo the cJassit"ation system may apply, Pholo Science 8h8lllll8kelhose recommendations to the County. Photo Science shal send samples of pholofnl8rprelalion WOrk 10 the County on a regular basis. Furthar, the County and Pholo Science shall participate In a web conference at any time 10 view ptOgl8SS and 10 discuss the applicallon of the County's classification system 10 the land co_ features extracted from the Source imagery. During the phO!ointerprelat/on phase, a/I unclassified ~ Will be /lagged by Photo Sclence for Inspectlon in the IleId. Following e thorough I8view of aU COIIeteral data, the Pi1olo/nterpreters wiD select SIl8ClraI slgnallue8 that rlIp/'86ent IIlIrious Land eo- COdes that display "problem. or "low contIdence. Signatures, PhOlo/nlerpreteq WIll mark Iheae features on the SOurce photography for reference for a fle'd site vIsit. Photo ScIence Will also provide a narraUw within the Anal Report diSCU$Sing probable reasons Why a POlygon may have been mlaclassJ1led Such 88 photo qualty, s/gnatu18 variance, decisions rules, mfslnlelpl8lations, mapping lI1lfs or aggregation, etc. Field lI8IIfIcallon Is a neceSSaly comllOllent of a project of this scope and magnHude. Pholo ScIence PhOlo/nterpretenl must be able 10 8CCUrateIy COIl8/ate SP8ClnlI signatures &om source flTl8gery With actual land Cover COdes. Photo Science's PhololntelJll"8f8ts will visit select sites In the field 10 aCCUrately colllJ/ata the land Co_ COdes With thefr resJl8Cll1l9 unique S/ItICIral ~. This Ioca/ knOW/edge-base obtained from !he Ileld trip wI/I assIst the Ilhotolnlerpt8!ell1 with Updalfng both the c1asaillcation and as I18eded the deDnealton of Land Co_ data with a high d6gl8e of conlldence not otherwise pOSsible. Hard copy plota of Imagery annolalecl WIth Una WOrk and Land Cover COdes WIll be prepared for the photolnlerpreter 10 use In !he 1ieId. A large sample site of the Land Cover codes updated WiB be visited In the Ile/d Including an POlygons flagged dUring !he PI procass. Additionally, Photo Science Pi1o!oinlerpreters will visit a reptesentBUve number of all other Lalld Cover codes. During the ffeId prepatatton, the Photo Science wi' deWlap a plen Ihat anOWs for the m8Jdmum number of COdes to be visited. Photo ScIence ma/ntal". fhatthe Pho!olnlerprelera assigned to this project al8 the ones that must Participate In the lleld work. The IIeId work effort Win not be delegated to an~ not dlrectty involved in the Pi1olo/nterpretatton process. Photo ScIence baIiav.. fhatthe knowleclge gained from !he fIaId /s Crlticalto il18uring a hIgh degree of class/fication aCCUracy. -.----.,. ~-.....~ - II Photo Science shan provide field \l8rification as a cool1ol measure for photoinlerpretetion, classification of land Co\l8r types, and project documentation. Field verilic:alion wiN include \/lsual assessmenl of selected land Cover lype. The photolnl81Jlreter win also collect a GPS point for each field site llisited. A digital photo will be laken of each site at ground level and ~ into the field data sheel and the PI key. When photolntll/'pnlters return from the tlefd they will incorporate an ground lruth data collected and update the Pholoinlerpretatlon as needed. The Photo Sclence WIll utilize il1-pt'ocess, draft, and t1nalrelllew processes to assure a complete and accurate map product are compled. Emphasis will be placed on Cl'88tlng el'litcII1i8 mechanisms that wNI assure quaUty results In Inlerpreted data content and suppotlfng annotations. QC routines will be WO\/8n Inlo the PI production. All work complied, inclUding all claSS/boon codes, will be relliewed upon completion of each Image lItIe betare the PhololnterpretatJon begins WOrldng on the next Image title. Tha Project Manager as weN as other Photo Science Photointerprelenl will conduct 'peer reV/ewa" of each complated Image lil/e. To promote COOslstency and accuracy, the photoinl81Jlreter Who did the Origll18/ work will correct any and all edit calls associated with their own WOrk. The emphasis of Photo Sclence'a PI QC process WIll be to identify any critical defects, whIcIl could d8gl'Bde the FlUCCS /nlegrlty of the LClU map. Thwe defects may include: · Improper Selection 01 collateral data. · Incorrect feature interpretation and coding. · No feature consistency across project area. · Features not labeled clearly or completely. · Incorrect polygon annotations. · MISSing polygons. · No adherence to minimum aCteage size requirement. · Improper edgematch to adjOining maps. Photo Science's PI OA process will continually IllCO/potate measures to assure the highest standard of accuracy. In order to provide unb"ed and unencumbered quality assurance, PholO Science will organize all quality assurance funclion$lO be separate from, and to operate Independently of, fhe Procluctbn leam. This includes checking each delineated Image tille, InsP8Cllng It 10 assure that aa land COver features are PI'DpetIy delineated and classified and alll ;n compliance with a minimum mapping Imit. Regular intemal COordInation meetings will be held between the Project Mallllger and the pholoin,etpnltSfS. the OAIQC Manager to discuss Pt'OgIllSS, "ndings, and any Problems or enomalles enoounlered. Items ~jcally diSCUssed Include characteristics of !he imagery, collateral data, decl8/on IU/es, and specjt/c project obJectIves. The County Is encoUl'llged to participate In theM meetings Ilia conterenee C8lI or web meeting or site visit All Land Cover features compiled by Photo Science wia be meet the following stendards for 'oglcal consIstency: · Polygon line work WIll not be genlNll/lzect along sinuoUll fealunls. Une woll< will properly characterize the shapes of boundlllle8 appropriate 10 the Illso/utfon of lha source imagery. · Minimum dimensIons of mapped features wUl conform lha MInImum Mapping UnIt. · In tha unlikely case that 'he source imagery does noledge match, Photo Science will notify the County for r8$OIution · Identically COded POlygons wfII not be lId/8cant to each other within a fealunt class · All features wiU eldat wholly within the regl8trallon COWll'llge title bounding arcs · There Will be no duplicate features · Topology rures will be \/It/ldateel and corrected prior to delivery of each and any deliverable · AJI tolerances Wi" be consistent across all delverables. Phoro Science will asaura posft/onaJ accuracy by checking thaI all COordlnetes are referenced, rl1UIlalned and defill8l8d In the Stale Plene Cootdinate SYSlem. Florida East Zone, un/la SUllley feet, North American Datum (NAo) 1983/99 (NA083;gg). Pro/ec1ion infonnation wiN be present in !he meladata me and aCC8SalbIe !hrough An:catalog Photo SclerJce proposes that !he themaHc accuracy of the land co_ detaset delivel1ld 10 the County Will have an overall minimum lhemallcclaseitlcallonaccuraCYof9O%.This overall classification accuracy will be calculated as a weighted all8l1lge of all classes (or each deliverable weighted by total area co\l9red by each class. Photo Science proposes to confirm the IhemaUc accuracy of the lands cover data set with a thematic accuracy assessment The attribute tabla will contaIn their contract specIFied tlelds in Ihe corr8cl order and defined correctly. There will be no superfluous al1ribules or al1ribute tlelds in the final deUverable. All fields will be coded correctly and completely. There will be a value in ewry po/)lgon (or every attribute. P.I. Decision Notes and General Noles will be filled out whenever deemed useful or 8ppn)prlale by Photo ScIence's Phololnletpreters and will be Slanderdized in such a way lhet allows ldentJcal comments/Issues to be identified. There will be a vallla in e\lery polygon. Where no value appUes the default will be -N.lA-. Albibute Codes: At a minimum. the (o'owing albibutes will be lIIISOC/ated with each digitized POlygon: · LCCODE ThIs altrlbute wi. be populated with a land co_ value based on the County classiflcation system. This field will be present in the final deliverable. · ModIfI", This attrfbute will be used to add additional detail 10 Ihe cIassltJcat/on, SUCh as temporary COnditions, minor (eatures or management factors, that may be of pertJcular interest to the County but do not warrant adding new cllISsQ to the C1asslllcallon sYlllem. ThIs win /lI'lWide the County an OPPOrtunity 10 alStom/ze Ihe classification without effecting overall consistency. This field Will be present In the flnal deliverable. · Photol",."".,Uon eo. The phololnt8fPreter responsible for the Land Co_ determinations will be idenlJied by this COde value. This field will be preaent In the final deliverable. · PI D<<:ta1on Not. This altrlbule will use standardized codas to record isSUIIS regarding Ihe interpretation decision made for an ind/lllduaJ POlygon. This tleld will not be P/8S8Ot In the final deliverable. · a_I Not.. Decisions fhat record UIlC8tlalnIles or level of confidence wi' be TIJCOrded In this note lie/d. Also, general rules for anecdotal data unrelated to the PI decision will be referenced here. This field wm not be present 1n the final deliverable. -.. --.. -,-- --... · Fiald Check. Features identified for V<!rificalion in the field are identified with this field. The Photo Science will dellelop OC prolocols 5peclfjc to this project fhat will ensure that all deJMltabIes meet or axceeel all accUlilcy standards established for this projecl under Monroe County's RFP. Photo Science's OC and ecllting process will continually incorporate measures to assure the highest standard of accuracy. Photo Science shall hold periodic COOrdination meeUngs between project managament, pho!ointerpretars, and relateel projecl support personnel to discuss progress, findings, and any problems or anomalies encountered. The County Is encouraged to participate In any of these ~Ings via conference ceD. web meellng or site visit. ac routines, deva/opect by Photo ScIence wlH be U$8d to review the digital data. In summaI)', Photo ScIence's automated and non-aulomated QCiQA routines wiD Inslll'llthat the fOllOwing standards for Ioglca' consistency apply: · Polygon topology Is present and verffied USing the followfng rules : do not 0V8fIap and do not have gaps · Correct application of the MMU · No duplication of features · No sliver polygons WIll exist · No label errors will exist · No contiguous POlygons AddltJonally, Photo ScIence's ONOC PIOC8ss wl/lnsure all standards for /lOSIlIona/ aCCUl'acy apply to this mapping el\'oft. This Includes ins~ng that all COOrtIlnales are refel'lltlCed 10 the State Plane Coordinate System, Florida East Zone, units survey feet, North American Datum (NAO) 1983-90 (HPGN). All Projection Infonnatlon will be /lI'88entln the metadala IlIe and be accessible through ArcCatalog. Photo Science's process will Insure that the atlrfbula table contains their ArcGIS COIIlHlIge default nems and contract specified ltamsln the COfTecl order and defined COrTectIy. There will be no superlluous alttlbute tables or attribute Items In the /lnsl de"-able. AD Items wII be Coded correctly and completely. There will be a \IlIlue In _I)' ~ for ell8/)' alt11bute. INhere no \IlIlue aPJl/les. we will use 9999. AD .pet and .ast table cleIinltJons wi" be COl1sistant aaoss all deliverable.. Photo ScIence shall Produce a Photoinl8rpretalion (PI) Key for the County. The PI Kay wi. be developed in order 10 documenlthe decisions and mapping convenllons applied during the photo inlerpretatlon process. "will descnbe and l/Iushle the classifICation system In detail. The PI Key will be used to assist the pholo inlerpreter.s compile Ihe land cover features and help 10 ensure thaI the photo inlelpletation is conslstentthroughoul the projecr. II will be designed to P<DI/ide descriptions of the visua' and spatial distribution chal'llCleri8lics of the claSSification Iype USed tor the project and documents any Special mapping convenllons WhIch may be dell9loped. lis purpose Is 10 deIlne a common set of rules and Slanclards fhal can be SPpllecl by many differenl inlerests to arrive sl a consislent Inlarpretation. Additionally, the PI Kay IYIIl contain the general logic and delalls behind the decision rules for producing the land Co_ detasat These delalls """ be In the form of cIocumenlatlon fhal Usts the appropriate land Cowr c1a_. Since the polential sal of rules can be complex and endless, the CoU1Iy INtI be pr'OIIkIecf with a pracllcal level of useful details conforming to the methoc:lology and to the 8PfJCItlc caPllblIitles and Mads of Iargefed users. The PI Key 8lso serves to Provide Insight for future U88nIlnto the "'1lonaIa for the deU'-llons and Classltlcalfons sppearing witllln the clatabese. The PI Kay will be in a dlgllal formal and will Include the County's c1assiflcallon syslem. Users """ be able 10 access the PI Kay, point and click on a salectecl COde 10 acceas the Photo Inlerpretallon Kay Ille which deSCllbes the seIecIed code. Aerial Images will be clipped from the OI'fgInal Imagery used for the photo 1n18lp/'llfatlon. These image clips wftI be displayed on each key page. In addition, Ileld pictures taken al QIOWld leWII of each land cover code representing each c:IassItication Iype wi" also be Induded on 88Ch key page. GUlda/ines for each land cover code speciljc to this projact will be specified In the PI Key. Each PI Key page will describe a unique land cover claSSIfication. The following sectlons wi. be induded on each page of the key: 1. CI...mc.tion Code: IndlCllt88 !he land cover code as 8pp11ed during phoro inlerpretation. 2. und eo..... Dew:npt/on: This is the defrnlllon Of the classlflcallon COde axaclly as It appears Within County documents. 3. Keys to Photo fn.",.,.t/on: Thae will be descrlpllons which cons/sl of tile Wical Characteristics of each land cover COde. Features which are associated with the c/aq and ~ which are visible on the imagery will be dElSClibed. The apparent signature (COlors. tones, textures. etc.) of the land COlier COde on the imagel)' wiN alao be described. 4. SptH;/al Mapping Con"Mt/ona: Describes the pholo Interpretation or mapping rules established to addreas the particular classificatIon COde. 5. Me.",,.,: Oocumentallon that describes the II18Ihods US8(/ 10 PlOduce the PI Kay IndUdlng Problems encountered, Problem resolution, claritlcstlon In scope, etc. The meladata compiled will COmply with Federal Geogrephic Data Commillae (FGOC) ST0-001-1998 Content Standards for DIg/tal Maledata (vwsion 2.0). 6. AIIet:r/otlJ1lnfonnation inclUding PIllblems enCOUntered and remedies dep/o)'8d. To add darilicsoon 10 the document, the BpplOll8d PI Kay may be mOdlllecl WIth County aPPlll\l81 during project Implementation. It may also be nacessal)' for IIlIId COlier d__ 10 be modiffad during mapping based on Project working eXperience with the land Cover claSSJncation system while maintaining consistency throughout lI1e Project al88. All such changes will be Submitted to the Coun1y for apProval before processing. All mapped classes Will be approPriately f8presented in the PI Key. The PI Key will be lhoroughly tested to In8ure It 'a comprehensive and USer frflllld/y. Fallowing Internal testing of the PI Key, Photo ScIence W/II meet WIth County slalf to demonstrate and dellller the PI Key as Well as to demonstrate the WOrfcing enlllronment dedicated to IhIs project. To Insure the land CO_ datesel deUV8red to the County has a minimum classIfication IlCcuracy of 9O-percent for each land Coller category at a con1Iclence IeII8I of Il().IWCeoI, and thallI1e Ollerd accuracy of each section defiverable WIll helle a minimum C/aSSItlcation aCCUrllcy of 90- P8rC8nt at a confidence interval of ~ Photo ScIence PIllPC8ea to conduct a thematic 8CCUl1Icy -&lament aa Part of the QA PlOCedure PRIOR to tina' de/ivaI)'. Photo Science Pt'Oposea to use a QUaI1tltaflll8 method (a Statistical 8PProach) d&lcribed by Congalton and Mead (1983) to delennlne thematic aCCUll!cy of the final Monroe County Land Co_ maps to be compiled. This method inIIO/vea comparing the reautlll of two separate and Indepellc/ent classifications of tha same featUl88. The tllllt c/assiflClltion results fllml the initial 2006-09 Photo ScIence map COmpilation elrOlt that Used a combination of phOfointeqqra,/on and tleId WOIl< techniques. n.. S8COnd c/a1l8ilrca1ion result8 frcm the clas8itlcatlon cle<i1l8cl an Independent J>holointerpretatlon COnducted by HOR combined willi dlree1lie1d observations 8a needed. Slmllarilles and/or differences between these two c1assilica1ions (Photo Science and HDR) shall be displayed in an.error matrix, (also I8tell'8d to as a similarity malrlx). The resultant error malrlx wiD be used to measure the olferall themellc accuracy or the /lrst classification results. The follow;ng meUlodology shall be deployed: Step 1: Photo Sci8l'lcs will use GIS tools to select a minimum of 20 polygons from each 'and cover codes from the Classification that Photo Science COmpiled. This equates to over 200 polygons. Slap 2: Photo Science she. drop all allrlbutes aSSOCiaIecf with each of the pOlygons selected, leaving only a POlygon 10. Step 3: Photo &Ience subconlra<:tor (HeR) shall conduct an indePendent c1assillc:allon using Phololnterpretalion lechnlques ot the seleClad po/)gons without referencing Pholo Science's original classifIcallon. Slgnalure /cIenllllcalion may require field WOlle. HDR clasalflcatlon lllSullll will be compal8d with Photo Scfenee's cIassIlicalion. The tolJowtng informatJon shall be displaYed when comparing these two datasets: · Total number of polygons for each classification, · Number of PO')lgons which are correctly classified, · Number of POlygons that are incorreeuy classltfed. Photo Science shall perform a statistical anal)lSis by running the Arc InIemect Command within ArcMap. This command allows !he user 10 Overlay the POlygons from the original Photo Science classification and the second cfassi/lCa/lon conducted by Photo Scfence's subcontrac:tor (HDR). The I'8SIJII/ng 0Ulput will have the comb/lied allrfbutes at the featurea In the two Inputs. From the analysis of the Arc Intersect g--.tad layer, Photo &ience shall compare the cfassit'lcallons rrom I". two sources. The 'Notes' field within the Geoda18base shall be USed by Photo ScIence 10 documenl commenm ror the sampled PO/~ons as well as 10 identify where any elTOf8 8IlI OCCU"ing outside of the sample polygon datasets. Photo &ience shall lhen conduct a slal/SIical anal)lSls of the dalaset. All ganeralecf po/~s shall be combined to represent one belch sample. A s18tistical analysis shal then be performed -'-_.~- -..- .. - solely on the batch sample containing all the sampled polygons. A similarity mabix (or error matrix) will be prodUced as a square array set out In rows and columns expressing the number of polygons assigned to a particular feature type relative to the independent classification. Once the error matrix Is 9-.-ated It wig be analyzed using a dlsaete multlvartate analysis technique using a program called KAPPA developed by Congallon at af (1982). The KapPa coeffICIent equallon adjusts for POlygons that may match P\lfllIy by chance. The overaU classification accuracy will then be calculated as a weighed everage of all classes (weighed by tola/ area covered by each class). The statistics used will be the max/mum likelihood esllmate from the multinomial distribution and shall be a measure of the actual agreement minus the chance agl8<<n8nt. The variance of these estimates willlllen be used to COflslruct a hYPOlhes18 test for slgnltlcant difference at varying conIIdWlce levels to determine if the lwo Independent cla88lflcations are significantly different. The accuracy /l8l'C8IIlIIge shaa then be calculated for each mapping COde by dillidlng the totel number of malchlng polygons by the lolal number of sample POlygons processed. Finally, Photo Sclenoe will prollida the County willi a Thematic Acanacy Report which compiles lIIe results 01 the slallsticaJ analY8ia. Res~s will be eummarlzad In a concise and organized form. The report will compara lIIe data quaRry and dlscussad similarities and differences, prOllkllng conclusions about consistency and completeness. This report will also Include suggestions as to what factors may haw caused any obsetved differences and racommended POSSible remedies. Also included In IIIls report wUI be a dlscusslon on probable I88Ion8 why a polygon may have b-. misclalSlfied such as photo quality, signature varfance, decisions rules, misinterpretations, minimum mapping unit or aggregation. ete. The County shalt be prollided with the error maltbc. a statistics revtew l'lIport based on the compatlson oIlhe lwo dalaaals and the KAPPA coefficient compUtation. The Counry will also be provided willi a eumm8IY of systematlcally mismatcl'1ed classes on a spreadsheet. Photo Science shall provide the Counry with high quality metadata lIIat Is compliant wilh the Federal Geographic Data Committee (FGOC) standards pursuant to CIrcular A-16 and Executive Order 12906. Photo Science will lead and organize all metadata creation and management activities for the Land Cover database development efforts. exhibit B to Contract with GMR Aerla' Surveys, 'nc. d/b/a Photo Science Project Schedul. Task Date Payment Assume Notice to Proceed: Dee. 12,2008 Photo Science Kid< Off Meeting: Dec. 15, 2008 Collect & Review Source Materiafs: Cec. 1 S. 2008 Set Up Computer Environment: Dec. 1S. 2008 Monroe County I Photo Science Kick Off Meeting: Dec. 22, 2008 Photointerpretation & QC & Craft PI Key: Dec 23 _ Feb 23, 2009 Upper Keys Dellverabl. - Preliminary draft map product Jan 30, 200. of Upper Keys ava,table for County review: Fiefdwor1l: Post Field Photointerpretatlon & QC: GIS Processing & QC: Dellv.rable - Draft map product of Upper Keys available for County review: Feb 0', 2009 lower Key. Dellv.rable . Preliminary draft map product of Lower Keys available for County review: Fieldwork: Post Field Photointerpr.tation & ac: GIS Processing & QC: D.,Iv....bIe - Draft map product of Lower Keys availabl. for County review: Accuracy Assessment: March 13, 200. Deliverable - ReviSed draft map tor County review: County Review April I, 200. April 6. - 30. 2009 Fina/lana Cover Oataset, Metadata, Final Report. Fina' PI Key., ete: May 1, 200. May 1 - 30 2009 June 30, 200. $100.000.00 Dellv....b.. Breakdown: Final land Cover Dataset with Metadafa Accuracy Assessment Photointerpretation Key 585.000.00 $10,000.00 $ 5,000.00 $100,000.00 Tota. Note: Photo Sc:lence wi" ptOVjde the County with monthly progre.. reports and, if requested, PrelimillalJl draft map products on a monthly basis. Note: If the County choose. Photo Sdence to not COnduct a Themalie Accuracy AaaMament, then a draIl land COVer data set will be delivered to the COUIlly for review by April 8, 2009. Assuming the County require. focJr ~ to review thI. delivery, all final edits, meladata and the IInalIllpOl1 wi. be deIiverId to the County on or before May 29, 2009. If the County lakes Ie.. Urn. to reView thi. de/lvary than the final due date wfll adjust accOrdingly.