20210628 15293300 1.0 SEAGRASS2018 002 381037.688716 695000.008297 858557.042113 1396253.039225 1 Projected GCS_North_American_1983_HARN Linear Unit: Foot_US (0.304801) NAD_1983_HARN_StatePlane_Florida_West_FIPS_0902_Feet <ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/10.6'><WKT>PROJCS[&quot;NAD_1983_HARN_StatePlane_Florida_West_FIPS_0902_Feet&quot;,GEOGCS[&quot;GCS_North_American_1983_HARN&quot;,DATUM[&quot;D_North_American_1983_HARN&quot;,SPHEROID[&quot;GRS_1980&quot;,6378137.0,298.257222101]],PRIMEM[&quot;Greenwich&quot;,0.0],UNIT[&quot;Degree&quot;,0.0174532925199433]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;False_Easting&quot;,656166.6666666665],PARAMETER[&quot;False_Northing&quot;,0.0],PARAMETER[&quot;Central_Meridian&quot;,-82.0],PARAMETER[&quot;Scale_Factor&quot;,0.9999411764705882],PARAMETER[&quot;Latitude_Of_Origin&quot;,24.33333333333333],UNIT[&quot;Foot_US&quot;,0.3048006096012192],AUTHORITY[&quot;EPSG&quot;,2882]]</WKT><XOrigin>-17791300</XOrigin><YOrigin>-41645400</YOrigin><XYScale>3048.0060960121928</XYScale><ZOrigin>0</ZOrigin><ZScale>1</ZScale><MOrigin>0</MOrigin><MScale>1</MScale><XYTolerance>0.0032808333333333331</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>2882</WKID><LatestWKID>2882</LatestWKID></ProjectedCoordinateSystem> 20210630 09254000 20210630 09254000 Bryan Deslauriers Quantum Spatial, Inc. Project Manager 727-329-0952 10033 Martin Luther King St. Suite 200 St Petersburg Florida 33716 US bdeslauriers@quantumspatial.com 20210630 ArcGIS Metadata 1.0 21232 SEAGRASS2018 2019-03-15 Quantum Spatial, Inc. 10033 Martin Luther King St. Suite 200, St. Petersburg, Florida 33716 Quantum Spatial, Inc. vector digital data The Southwest Florida Water Management District (SWFWMD) is responsible for the protection and management of natural systems and water quality within its geographic boundaries. One component of evaluating the ecological health of coastal ecosystems is to map and monitor submerged aquatic vegetation (SAV) communities. This project is a continuation of previous efforts to determine the status and trends (if any) of SAV resources in the coastal waters of the District. The results of this effort will be used to determine the performance of ongoing efforts to improve water quality and quantity in coastal waters of the District.The dataset serves as documentation of the seagrass habitat within St. Joseph Sound and Clearwater Harbor, Tampa Bay, Sarasota Bay, Lemon Bay and Charlotte Harbor as it existed in January 2018. Seagrass data were photointerpreted from 2018 1:24,000 scale natural color aerial photography and classified using the SWFWMD modified FLUCCS classification system. Horizontal accuracy of meets NMAS for 1:12,000 scale maps. The minimum mapping unit for classification was 0.25 acres. Creation of a 2018 seagrass map from 1:24,000 scale natural color aerial photography that is consistent with and aligned to the previous 2016 seagrass map. This data was produced for the SWFWMD's "2018 Seagrass Distribution from Tarpon Springs to Boca Grande" project. Quantum Spatial, Inc. Aaron Brown Southwest Florida Water Management District (813)985-7481 ext. 2209 7601 US Highway 301 N, Tampa FL 33637 US Aaron.Brown@swfwmd.state.fl.us Southwest Florida Water Management District Tampa Bay Lemon Bay St. Joseph's Sound and Clearwater Harbor Charlotte Harbor Sarasota Bay benthic map FLUCCS coastal habitat submerged vegetation sav 2018 seagrass benthic Southwest Florida Water Management District Tampa Bay map FLUCCS coastal Lemon Bay habitat St. Joseph's Sound and Clearwater Harbor submerged vegetation sav Charlotte Harbor 2018 seagrass Sarasota Bay See access and use constraints information. Translation of files to formats other than those described here is the sole responsibility of individuals downloading the data. This database is made available to the public in response to the Florida Public Records Law, Florida Statutes, chapter 119. The positional accuracy of this data meets USGS NMAS for 1:12000 scale maps. This data has a minimum classification accuracy of 90% for all categories. Mapping conventions applied to the delineation and classification of seagrass categories were: 1) Outer boundaries of beds are more important than internal structure (patchiness, shapes of sand patches within beds). 2) Outer boundaries of beds are more important than density categorization within beds. 3)Minimum Mapping Unit (MMU) is 0.25 acres. It is more important to include small isolated patches than similar sized patches that were a part of a large matrix. Care should be taken in mapping small areas of seagrass when only a small amount of seagrass is present, e.g. around a spoil island. When deciding whether an area with patches of seagrass was one polygon of patchy seagrass or individual seagrass polygons, apply the guideline of MMU of 0.25 acres. If an area has a few patches under 0.25 acres err on the side of including these rather than excluding them. -82.853954 -81.879462 26.693195 28.174795 publication date 2019-02-26 Interpreted from 1:24,000 natural color aerial photography flown in Winter 2018. Although the imagery was collected under cloud free conditions there were some turbidity issues in and around some of the passes. Data were compiled using ARCGIS in a heads up environment. Version 6.2 (Build 9200) ; Esri ArcGIS 10.6.0.8321 1 -82.853954 -81.879462 28.174795 26.693195 Aaron Brown Southwest Florida Water Management District (813)985-7481 ext. 2209 7601 US Highway 301 North Tampa Florida 33637-6759 US The data are being provided on an 'as is' basis. The District specifically disclaims any warranty, expressed or implied, including, but not limited to, the implied warranties or merchantability and fitness for a particular use. The entire risk as to quality and performance is with the user. In no event will the District or its staff be liable for any direct, indirect, incidental, special, consequential, or other damages, including loss of profit, arising out of the use of these data even if the District has been advised of the possibility of such damages. All data are intended for resource management use. Feature Class Comparison of the completed seagrass coverage with other data of similar accuracy was performed. This was done during photointerpretation and quality assurance. Polygon topology present. All polygons were tested for slivers. Every polygon has a label, there are no multiple labels within polygons, there are no contiguous polygons. Comparison of the completed seagrass coverage with other data of similar accuracy was performed. This was done during photointerpretation and quality assurance. Polygon topology present. All polygons were tested for slivers. Every polygon has a label, there are no multiple labels within polygons, there are no contiguous polygons. Minimum mapping unit for seagrass polygons is 0.25 acres. The study area boundaries for the project were defined by the SWFWMD. Seagrass habitat features were captured and classified according to the rules, conventions, and descriptions in the Statement of Work and the Photointerpretation Key. Evaluated and reviewed by GIS applications. The District performed an accuracy assessment on the data to compare in-field classification to photointerpreted map classification. Random sample points of polygons coded were generated and were located in the field with a Global Positioning System (GPS). A 90% accuracy rating for seagrass categories based on the randomly selected seagrass sample points was required. Evaluated and reviewed by GIS applications. No official spec document followed. 2019-03-15 Evaluated via GIS applications. 1 The positional accuracy of this data meets USGS NMAS for 1:12000 scale maps. Horizontal accuracy of the data corresponds to the positional accuracy of the aerotriangulated photography that was controlled by GPS survey control points. Digital linework was reviewed over the 2018 seagrass data and positional accuracy checked by navigating to features using coordinates selected from aerotriangulated photography for comparison to linework data collected representing those features. Evaluated and reviewed by GIS applications. No official spec document followed. 2019-03-15 Evaluated via GIS applications. 1 Photointerpretation for the project was accomplished using heads up photogrammetric techniques. Photointerpreters utilized previously collected field data and in-process collection of field data along with other available collateral data to assist in their interpretation. Throughout the photointerpretation process, positional accuracy of seagrass boundaries was maintained according to the photographic signatures apparent on the photography. The quality of the 2018 images was good apart from a few areas of turbidity which made it difficult to discern the seagrass beds (especially the edges of the beds). The quality of the reflown imagery in Tampa Bay, Sarasota, Charlotte Harbor and Anclote (intracoastal waterways and passes) was very good.In previous years these areas were problematic due to tidal stage and turbidity. The image quality in the bays (Tampa Bay, Charlotte Harbor and parts of Sarasota Bay) was generally good with little turbidity although tidal stage in some of the frames made interpretation difficult.Existing 2016 seagrass polygons that could not be confirmed from the 2018 imagery were field verified and the seagrass boundaries remained unchanged if seagrass was confirmed in the field. Many seagrass boundaries could be confirmed using the 'histogram stretch' on the imagery within ArcGIS. The standard deviation of '1' was most effective in enhancing seagrass beds that were otherwise inconspicuous on the un-stretched imagery. Drift algae and seagrass frequently coexist and the edges of the seagrass beds can be indistinct due to the dominant dark algae signatures present on the aerials. Extra fieldwork was performed in these areas to help with the delineation of the seagrass extent. The sparse Halodule beds were difficult to interpret due to the subtle signature changes therefore slight elevation differences along with the field data aided the interpretation. Identification of oysters in the field assisted in differentiation of their signature in this and were classified independently using the 6540 code. In some locations the boundaries of the darker algal signatures were used to assist in differentiation of seagrass polygons. The following coding and classification system was applied during photointerpretation: FLUCCSCODE FLUCCSDESC 5400 Bays and Estuaries (Open Water) 6510 Tidal Flats 6540 Oyster Bars 7210 Sand other than beaches 9113 Seagrass - Patchy 9116 Seagrass - Continuous 9121 Attached Algae 0 Not Classified (land) Classification Conventions The following classification conventions were used in order to ensure consistency of delineation: Bays and Estuaries are delineated using code of 5400. All permanently flooded, open water, non-vegetated areas within the study area to the brackish seaward limits. Marine was separated from Bays and Estuaries (5400) by dividing lines extending across the mouths of inlets that join the two classification types. Tidal Flats areas are delineated using code of 6510. Tidal Flats are non-vegetated areas of sand or mud. Intertidal, non-vegetated, unconsolidated sediments located in estuarine/low energy environments, habitats capable of supporting seagrass if able to establish. Sand other than beaches (7210) are used for sandy bottoms less than 6 feet deep which are currently void of vegetation but with the potential for future seagrass recruitment.Continuous, dense seagrass beds are delineated using code of 9116. These areas exhibit a continuous and uniform signature. Small, (less than one-quarter acre) sandy bottom features may be interspersed within the bed, but these areas are not dominant. Areas that appear as continuous beds of seagrass communities, regardless of species composition, will be mapped. Patchy seagrass beds are delineated using a code of 9113. This category appears as singular, isolated patches of seagrass or extensive areas of patch strands mixed with open bottom. Typically these areas appear as rounded clumps, or as elongated strands mixed with sand. Attached Algae are delineated using code of 9121. Only pure stands of green algae, Caulerpa prolifera and Sargassum, are mapped. All polygons mapped as algae (9121) are field verified during the mapping process. When Caulerpa prolifera or Sargassum co-exists with seagrass beds, only the grass is mapped where beds of attached algae may be distinguishable from seagrass. Where feasible, they should be mapped and field verified if >10% cover. While performing the photointerpretation for this project, the following guidelines were used: A. The outer boundaries of beds are more important than internal structure (patchiness, shapes of sand patches within) of beds. B. The outer boundaries of beds are more important than density categorization within beds. C. The minimum mapping unit is .25 acres. It is more important to include small isolated patches than similar sized patches that are part of a larger seagrass complex. Care is taken in mapping small areas of seagrass when only a small amount of seagrass is present, e.g., around a spoil island. Under this guideline, small isolated (i.e. Stand alone) patches of seagrass will be mapped wherever visible on the photography. Within patchy (9113) seagrass beds each .25 acre "patch" is not mapped individually because the entire bed is the mapped object. Quality Assurance and Quality Control Quantum Spatial, Inc. has established, documented, implemented and maintains a thorough quality control system. Quantum Spatial's Quality Control techniques are designed to ensure products/materials provided by Quantum Spatial are subject to adequate control of quality to ensure customer satisfaction. The techniques are designed to prevent discrepancies from occurring and are enforced with positive corrective action when necessary. Quality control reviews were ongoing throughout the project. The 2018 Seagrass geodatabase was compared to the 2016 Seagrass dataset so that the differences between the datasets could be analyzed and was examined for adherence to mapping conventions, the PI Key, spatial and classification accuracy, and photointerpretation consistency. Below is a description of the quality control steps that were used for the "SWFWMD 2018 Seagrass from Tarpon Springs to Boca Grande" Mapping project. Upon receipt of the 2018 aerial photography, Quantum Spatial's Quality Assurance Manager and the designated QA Photointerpreter systematically reviewed seagrass delineations and classifications interpreted from the aerial photography. Using ArcGIS software, the QA Manager reviewed the seagrass delineations interpreted on the aerial photographs. The original photointerpreter completed the required revisions and resubmitted the data to Quantum Spatial's Project Manager. The data was reassessed by the quality assurance manager prior to delivery. Data quality was monitored by a combination of manual and automated analyses. A set of automated quality control programs were used to check for errors, such as missing polygon label points, label points with no attributes, invalid attribute codes, missing attributes within the info tables, and two adjacent polygons with the same attributes. The current photointerpretation key contains examples of all FLUCCS classification types delineated for the study and includes both textural descriptions of the classification types along with several aerial photo clips clearly delineated to show users the seagrass signatures on the photos. Final Geodatabase at the conclusion of the photointerpretation processes for building topology and validating the dataset were completed. Unique identifiers (record numbers) for resulting polygons were assigned automatically by the system according to normal ArcGIS conventions. A 2018 seagrass Geodatabase of the entire SWFWMD Tarpon Springs to Boca Grande Seagrass Mapping project was delivered by electronic transfer. 2019-03-18 Quantum Spatial, Inc. 727-576-9500 10033 Martin Luther King St. Suite 200 St. Petersburg Florida 33716 20190104 SEAGRASS2018 SDE Geodatabase feature class Feature Class Feature Class 21232 SHAPE Feature geometry. ESRI Coordinates defining the features. SHAPE Geometry 4 0 0 OBJECTID Internal feature number. ESRI Sequential unique whole numbers that are automatically generated. OBJECTID OID 4 10 0 FLUCCSCODE The Land Use/Land Cover classification code as defined in the Florida Department of Transportations (DOT) Florida Land Use and Land Cover Classification System (FLUCCS). This is also considered Level 4. FDOT 9121 Attached Algae - Only pure strands of rhizophytic attached algae are mapped. Species mapped include: Caulerpa prolifera, Caulerpa Ashmeadii, Caulerpa sertularioides, and Sargassum spp. All pollygons mapped as algae are field verified during the mapping process. When Caulerpa or other rhizophytic attached algae co-exists with seagrass beds, the area is characterized with a seagrass cover type unless beds of attached algae are distinguishable from seagrass. Where feasible, they should be mapped and field verified if > 10% cover. FDOT 7210 Sand Other Than Beaches Submerged - Areas of sandy bottoms less than 6 feet deep currently void of sea grass but with the potential for future seagrass recruitment. Originally this FLUCCS code was for sand dunes but was adapted for seagrass mapping. FDOT 0 Land (not mapped) FDOT 9116 Continuous Seagrass - These areas exhibit a continuous and uniform signature. Small, (less than one-quarter acre) sandy bottom features may be interspersed within the bed, but these areas are not dominant. Areas that appear as continuous beds of seagrass communities, regardless of species composition, will be mapped. FDOT 6510 Tidal Flats - Areas of sand or mud. They are intertidal, non-vegetated, unconsolidated sediments located in estuarine/low energy environments, habitats capable of supporting seagrass if able to establish. FDOT 9113 Patchy Seagrass - These areas appear as singular, rounded clumps, or elongated strands of isolated seagrass patches mixed with open bottom or sand. FDOT 5400 Bays and Estuaries - All permanently flooded, open water, non-vegetated areas within the study area to the brackish seaward limits. FDOT 6540 Oyster Bars - Areas with variable signatures that range from brilliant white to black according to tidal stage. Can vary from circular, elongated or 'half-moon' shapes with distinct edges and normally associated with tidal flats. FDOT Florida Land Use, Cover and Forms Classification System Department of Transportation, State of Topographic Bureau, Thematic Mapping Section 009 FLUCCSCODE Integer 4 10 0 SHAPE.STArea() Area of feature in internal units squared. ESRI Positive real numbers that are automatically generated. SHAPE.STArea() Double 0 0 0 SHAPE.STLength() Length of feature in internal units. ESRI Positive real numbers that are automatically generated. SHAPE.STLength() Double 0 0 0 FLUCCSDESC The Land Use/Land Cover classification code description. FDOT Attached Algae 9121 FDOT Sand Other Than Beaches Submerged 7210 FDOT Continuous Seagrass 9116 FDOT Tidal Flats 6510 FDOT Bays and Estuaries 5400 FDOT Patchy Seagrass 9113 FDOT Land 0 FDOT Oyster Bars 6540 FDOT Florida Land Use, Cover and Forms Classification System Department of Transportation, State of Topographic Bureau, Thematic Mapping Section FLUCCSDESC String 80 0 0 original metadata PG1ldGFkYXRhPg0KCTxpZGluZm8+DQoJCTxjaXRhdGlvbj4NCgkJCTxjaXRlaW5mbz4NCgkJCQk8 b3JpZ2luPlF1YW50dW0gU3BhdGlhbCwgSW5jLjwvb3JpZ2luPg0KCQkJCTxwdWJkYXRlPjIwMTkw MzE1PC9wdWJkYXRlPg0KCQkJCTx0aXRsZT5TRUFHUkFTUyAyMDE4PC90aXRsZT4NCgkJCQk8Z2Vv Zm9ybT52ZWN0b3IgZGlnaXRhbCBkYXRhPC9nZW9mb3JtPg0KCQkJCTxwdWJpbmZvPjxwdWJwbGFj ZT4xMDAzMyBNYXJ0aW4gTHV0aGVyIEtpbmcgU3QuIFN1aXRlIDIwMCwgU3QuIFBldGVyc2J1cmcs IEZsb3JpZGEgMzM3MTY8L3B1YnBsYWNlPjxwdWJsaXNoPlF1YW50dW0gU3BhdGlhbCwgSW5jLjwv cHVibGlzaD48L3B1YmluZm8+PC9jaXRlaW5mbz4NCgkJPC9jaXRhdGlvbj4NCgkJPGRlc2NyaXB0 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