20210628 15292900 1.0 SEAGRASS2012_SPRINGSCOAST 002 364999.999973 456938.937486 1388195.999849 1760000.000006 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>3048.0060960152887</XYScale><ZOrigin>0</ZOrigin><ZScale>1</ZScale><MOrigin>0</MOrigin><MScale>1</MScale><XYTolerance>0.003280833333333</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>2882</WKID><LatestWKID>2882</LatestWKID></ProjectedCoordinateSystem> 20210630 09253400 20210630 09253400 richard eastlake Photo Science,Inc Technical Manager (727) 539-1661 10033 Martin Luther King St, Suite 200 St. Petersburg Florida 33716 20210630 ArcGIS Metadata 1.0 14562 SEAGRASS2012_SPRINGSCOAST 2013-11-18 Final Photo Science,Inc 10033 Martin Luther King St, Suite 200, St. Petersburg, Florida, 33716 Richard Eastlake, Photo Science,Inc., Technical Manager 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. The area of interest includes the mid-shore coastal waters of the District within Citrus and Hernando counities. Estuaries in the geographic area of interest include the Chassahowitzka River, Homosassa River, and the Weeki Wachee River. The project area includes 1,454 cells (approximately 1,304 square miles) and extends from roughly 5 miles offshore to a maximum of 15 miles offshore. Seagrass data were photointerpreted from one foot resolution RGB 5000 x 5000 foot tiles flown in January 2012 and IKONOS satellite imagery (1mresolution, multispectral).The minimum mapping unit for classification was 0.25 acres. The overall goal of the mapping effort was the production of spatially and thematically accurate seagrass habitat map for the 2012 timeframe using 1 foot resolution 5000 x 5000 foot Geotiff tiles and stock IKONOS satellite.imagery (1 meter resolution, multispectral) as collateral. Fieldwork was conducted in order to solve photointerpretation problems and to verify classifications of seagrass density. The resulting imagery and GIS database layers met National Map Accuracy Standards as described by the United States Geological Survey (USGS) for 1:12,000 scale map products. The objectives of this project was to: 1) complete photo-interpretation ofthe imagery and GIS map production; 2) complete an accuracy assessment of the resulting seagrass coverages and revise maps as needed, and 3) complete a narrative final report of mapping procedures and resulting coverage summaries. Photo Science, Inc. was contracted to map all deliverables associated with the 2012 photography. Acknowledgement of the South West Water Management District would be appreciated in products derived from this data. Chris Anastasiou Southwest Florida Water Management District (813) 985-7481, ext 2029 7601 US Highway 301 N Tampa FL 33637 United States of America Chris.Anastasiou@swfwmd.state.fl.us Anclote / Pithlachascotee SWFWMD Aripeka / Hernando Beach Waccassassa Bay Weeki Wachee /Chassahowitzka Homosassa/Crystal River Seagrass Benthic Mapping Habitat 2012 Seagrass Anclote / Pithlachascotee SWFWMD Benthic Mapping Aripeka / Hernando Beach Waccassassa Bay Habitat 2012 Weeki Wachee /Chassahowitzka Homosassa/Crystal River 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 0.5 acres. -88.955661 -78.701297 24.212868 31.309286 ground condition 2012-01-01 SWFWMD 2012 Springs Coast Seagrass Mapping project used 1:12000 scale DMC imagery flown in 2012. Version 6.2 (Build 9200) ; Esri ArcGIS 10.6.0.8321 1 -82.912353 -82.618255 29.173758 28.149655 Mapping and GIS Section Southwest Florida Water Management District (352) 796-7211 (352) 540-6018 2379 Broad Street (U.S. 41 South) Brooksville FL 34604-6899 8:00 a.m. to 5:00 p.m. 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. The 2012 Seagrass coverage was compared to the 2007 Seagrass coverage so that the differences between the coverages could be analyzed. 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. The 2012 Seagrass coverage was compared to the 2007 Seagrass coverage so that the differences between the coverages could be analyzed. 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 0.5 acres. The study area boundaries for the project were defined by the SFWMD. Seagrass habitat features were captured and classified according to the rules, conventions, and descriptions in the Statement of Work and the Photointerpretation Key for the "SWFWMD 2012 Seagrass Distribution from Tarpon Springs to Boca Grande" Seagrass Mapping project. 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. 2013-11-18 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 2012 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. 2013-11-18 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 2012 images was variable due to the turbid conditions where it became difficult or impossible to discern the seagrass beds (especially the edges of the beds). The turbidity issues occurred intermittently but were more pronounced in Waccassassa Bay and the offshore areas. The image quality in the inshore areas was generally good with little turbidity although tidal stage in some of the frames made interpretation difficult. Seagrass best that could not be confirmed from the 2012 imagery were field verified and further verification would be beneficial. Despite the poor visibility in the offshore frames many seagrass boundaries could be confirmed using the 'histogram stretch' on the imagery within ArcGIS. The standard deviation of '2' was most effective in enhancing seagrass beds that were otherwise inconspicuous on the un-stretched imagery. Some areas proved to be particularly challenging due to the amount of drift and attached algae present on the flats as well as previously unidentified oyster beds with algae present. 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 area and were classified under the 6510 tidal flats code. It was impossible to distinguish the extent of the seagrass boundaries as they were obscured by the dark dense algal signatures. 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: CODE CLASS NAME 5400 Bays and Estuaries (Open Water) 5700 Marine (Gulf of Mexico) 6510 Tidal Flats 6540 Oysters and Shoals 7430 Spoil Areas 9111 Seagrass, Sparse-Medium 9112 Seagrass, Dense 9113 Seagrass - Patchy 9114 Rocky Bottom 9115 Hard Bottom 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 (Gulf of Mexico) are delineated using code of 5700. Includes only the marine open waters of the Gulf of Mexico. Marine (5700) 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 areas of sand or mud that are exposed at least once during the year or are capable of supporting seagrass populations for that segment of the water body (i.e. approximately six feet of depth). Oyster Bars/Shoals greater than 0.5 acre are delineated using a code of 6540.Continuous. Continuous sparse to medium beds (9111)exhibit a continuous and uniform signature and will comprise of less than 75% of total cover. 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 (<75%) of seagrass communities, regardless of species composition, will be mapped.Dense seagrass beds are delineated using code of 9112. 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. Rocky bottom areas are delineated using a code of 9114. These areas consist of rocks,sand, attached algae, drift alage and sparse seagrass. Most of these areas had a distinct black mottled appearance on the 2012 seagrass imagery.Hard bottom areas are delineated using a code of 9115.Dense hard bottom habitats containing patchy seagrass,sponges, coral, and other floral and fauna critical structure and habitat for fish and sea turtles. 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 .5 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 .5 acre "patch" is not mapped individually because the entire bed is the mapped object. 2013-11-19 Photo Science, Inc. (727) 539-1661 10033 Martin Luther King St, Suite 200 St. Petersburg Florida 33716 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. 2013-11-19 Photo Science, Inc. (727) 539-1661 10033 Martin Luther King St, Suite 200 St. Petersburg Florida 33716 Photo Science, Inc. has established, documented, implemented and maintains a thorough quality control system. Photo Science's Quality Control techniques are designed to ensure products/materials provided by Photo Science 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 datasets were 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 Springs Coast 2012 Seagrass Mapping project. Aerial Photography Quality Assurance Upon receipt of the 2012 aerial photography, Photo Science inspected them for tonal balance and contrast, complete areal coverage, and defects prior to acceptance.Inspections were performed looking for smears and other indications of problems within the digital orthophoto creation process. The created tiles are reviewed again for anomalies and interactive radiometric adjustment applied where needed. The final product was GeoTIFF format digital orthos. Control Point, Aerotriangulation and Positional Accuracy Compliance with the accuracy standard was ensured by the collection of photo identifiable GPS ground control after the acquisition of aerial imagery. The following checks were performed. 1. The ground control and airborne GPS data stream were validated through a fully analytical bundle aerotriangulation adjustment. 2. The DMC data was checked against the project control. The technician visited and confirmed the accuracy of the points during initial processing. 3. Digital orthophotography was validated through an inspection of edge matching and visual inspection for image quality.checked and approved by a photogrammetrist prior to stereocompilation. In-Process Photointerpretation Quality Assurance Photo Science's Project Manager and the designated QA Photointerpreter systematically reviewed seagrass delineations and classifications interpreted from the aerial photographs. During quality control review using ARC/GIS software, the QA Photointerpreter reviewed the seagrass delineations interpreted on the aerial photographs. The original photointerpreter completed the required revisions and resubmitted the data to the QA Photointerpreter. The work was checked again by the quality assurance photointerpreter prior to delivery. Comparison of the completed seagrass coverage with other data of similar accuracy was performed. The 2012 Seagrass geodatabase was compared to the 2007 Seagrass dataset so that the differences between the datasets could be analyzed. This was done during photointerpretation and quality assurance. GIS Quality Control The quality of the ArcGIS digital data 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. 2013-11-19 Richard Eastlake Photo Science, Inc. Technical Manager (727) 539-1661 (727) 539-6954 10033 Martin Luther King St, Suite 200 St. Petersburg FL 33716 US reastlake@photoscience.com SEAGRASS2012_SPRINGSCOAST Internal Feature Number ESRI Geodatabase Feature Class 14562 ACRES Area of feature in acres PSI number ACRES Double 8 38 8 FLUCCS Classification System FDOT 5700 Marine (Gulf of Mexico); Includes only the marine open waters of the Gulf of Mexico. Marine was separated from Bays and Estuaries by dividing lines extending across the inlets which join the Gulf of Mexico with Clearwater Harbor. The photosignature for 5700 is similar to 5400, except that it is usually more blue than green because of the increased water depth and clarity. 5700 can be found along the western edge of the barrier islands and outside all passes. FDOT 0 Not Classified (Land) FDOT 5400 Bays and Estuaries; All permanently flooded, open water, non-vegetated areas within the study area to the consistency of brackish water.The photosignature for 5400 is usually a smooth, bluish-green color, but can sometimes appear dark blue depending on water depth and turbidity levels. It can usually be found on the deeper edges of seagrass beds and in residential canals. Sometimes a 5400 polygon will be elongated and linear with straight edges, denoting a man-made channel dredged through a shallow water area (i.e. Intracoastal Waterway) FDOT 9114 Rocky bottom These areas consist of rocks,sand, attached algae, drift alage and sparse seagrass FDOT 6540 Oyster Bars / Shoals - Greater than 1 acre FDOT 9121 Attached Algae,Caulerpa prolifera. Only pure stands of the green algae Caulerpa prolifera are to be mapped. All polygons mapped as algae (9121) are to be field verified during this mapping process. When Caulerpa prolifera co-exists with seagrass beds, only the grass will be described and mapped. FDOT 6510 Tidal flats; Non-vegetated areas of sand or mud which are exposed at least once during the year or are capable of supporting seagrass populations for that segment of the bay (i.e. approximately six feet depth). This category is composed of that portion of the shore environment protected from wave action, as in the case of estuaries, comprised mostly of muds transported by tidal channels. An important characteristic of the tidal flat environment is its alternating tidal cycle of submergence and exposure to the atmosphere. The photosignature for 6510 is very smooth and obviously non-vegetated. The signature can be different colors depending on water dept and turbidity levels. It can appear white (very shallow, sandy areas), light green (deeper, sandy areas), gray (murky water) or even light brown in some tannin-stained areas. 6510 is usually found on the shallower edges of seagrass beds, either along the shoreline or on the crest of a barrier-type seagrass bed. FDOT 9111 Seagrass, Sparse - Medium - (10%-75% continuous cover) FDOT 7430 Spoil Areas - Spoil areas greater than 1 acre FDOT 7100 Beaches other than swimming; Isolated strands of open (non-vegetated) sand, not typically accessible (on islands and fringes). The photosignature for 7100 is usually a smooth, bright white or tan color and can be found along mangrove and spoil islands throughout the work area. These areas can be describe as naturally occurring sandy beaches or beaches formed by spoil deposition, both of which are not often used for recreational purposes. FDOT 9115 Hard bottom.Dense hard bottom habitats containing patchy seagrass,sponges, coral, and other floral and fauna critical structure and habitat for fish and sea turtles. 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. The photosignature for 9116 is more smooth than that of 9113 but still has some texture. It also can be bluish-gray to almost black, but has only a few areas of open bottom showing through to interrupt the continuous signature. 9116 usually can be found in the center of large, healthy seagrass beds and sometimes runs parallel to the shoreline for hundreds of meters. FDOT 9112 Seagrass, Dense - (75%-100% continuous cover) FDOT 9113 Patchy seagrass; This category appears as singular, isolated patches of seagrass or extensive areas of patch strands mixed with open bottom. Typically these areas appear as round clumps, or as elongated strands mixed with sand. The photosignature for 9113 usually has a rough texture when viewed through a stereoscope, and is bluish-gray to almost black depending on water depth and turbidity. 9113 can be found on the deeper and shallower edges of continuous seagrass beds or can be large and expansive and cover the entire bed. FDOT Florida Land Use, Cover and Forms Classification System Department of Transportation, State of Topographic Bureau, Thematic Mapping Section FLUCCS Integer 4 10 0 DESCRIPTION Description of FLUCCS code FDOT text DESCRIPTION String 50 0 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 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. 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