20220211 11444100 1.0 FALSE SEAGRASS2020_SPRINGSCOAST 002 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/2.9.0'><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>-100000</ZOrigin><ZScale>10000</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> 20220211 11020100 20220323 13575100 150000000 5000 FGDC Joseph Muller Avineon, Inc. Project Coordinator 727-539-1661 ext.301 400 Carillon Pkwy, Suite 200 St Petersburg Florida 33716 20170921 ArcGIS Metadata 1.0 Kris A. Kaufman Southwest Florida Water Management District Senior Environmental Scientist, SWIM Program (813) 985-7481 ext. 2208 (813) 987-6747 7601 US Hwy 301 N Tampa Florida 33637 US See Distributor Contact Information Enterprise Geodatabase Feature Class Seagrass 2020 Springs Coast 2020-02-24T00:00:00 Final Joseph Muller, Avineon, Inc., Project Coordinator Avineon, Inc 400 Carillon Pkwy, Suite 200, St Petersburg, FL 33716 Vector Digital Data Set (Polygon) <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>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 Anclote River, Pithlachascotee River, Aripeka River, Weeki Wachee River, Chassahowitzka River, Homosassa River, Crystal Bay, Withlacoochee River, Waccasassa Bay and their respective offshore areas as it existed in January 2020. Seagrass data were photointerpreted from 2020 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.</SPAN></P></DIV></DIV></DIV> Creation of a 2020 seagrass map from 1:24,000 scale natural color aerial photography that is consistent with and aligned to the previous 2016 seagrass map for the Springs Coast. This data was produced for the SWFWMD's "2020 Districtwide Seagrass Mapping" project. NV5 Geospatial, Southwest Florida Water Management District Kris A. Kaufman Southwest Florida Water Management District Senior Environmental Scientist, SWIM Program (813) 985-7481 ext. 2208 Fax (813) 987-6747 7601 US Highway 301 N Tampa Florida 33637 US Aripeka / Hernando Beach Anclote / Pithlachascotee Homosassa/Crystal River SWFWMD Waccassassa Bay Weeki Wachee /Chassahowitzka 2020 seagrass map coastal sav FLUCCS habitat benthic submerged vegetation Aripeka / Hernando Beach Anclote / Pithlachascotee Homosassa/Crystal River SWFWMD Waccassassa Bay Weeki Wachee /Chassahowitzka 2020 seagrass map coastal sav FLUCCS habitat benthic submerged vegetation <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>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 acre for all benthic features and 0.25 acre for oysters.</SPAN></P></DIV></DIV></DIV> Distributor assumes no liability for misuse of data. This database is made available to the public in response to the Florida Public Records Law, Florida Statutes, chapter 119. Esri ArcGIS 10.4.1.5686 true -83.006345 -82.618047 29.173758 28.112716 ground condition 2016-01-01T00:00:00 2016-01-20T00:00:00 2016-03-01T00:00:00 2019-11-10T00:00:00 2020-02-23T00:00:00 Digital Aerial Solutions, LLC (DAS) of Riverview, FL was awarded a task order to acquire digital aerial imagery and produce digital orthophotos for District covering 1,310 square miles of Florida and the Gulf Coast. Approximately 741 digital aerial photos were processed from the imagery strips acquired in two lifts on 20 January, 2016 and 01 March, 2016. The collection was performed using DAS’s Cessna 441C Conquest II aircraft. Imagery was acquired using a Leica ADS100 sensor (Sensor head 100), a push-broom digital camera, operating with an inertial measuring unit (IMU) and a dual frequency GPS receiver. The District performed an accuracy assessment was performed on 701 stratified randomly generated points that covered the extent of the AOI. The in-field data was then entered into an ArcMap geodatabase with the appropriate FLUCCS code and compared to the photo interpreted mapped class cover type. An accuracy percentage was calculated for 1) general SAV presence/absence as determined by lumping all codes with SAV cover type included, 2) general seagrass presence/absence as determined by lumping all codes with seagrass cover type included, 3) each FLUCCS code, by the dividing the total number of matching points by the total number of sample points processed. The seagrass presence absence test must achieve 90 percent accuracy in order for District to accept the map deliverables as final, after initial testing edits can be made by the consultants to improve the accuracy of the products. Error matrix is generated analyzed using a discrete multivariate analysis technique. 98 % Comparison of the completed seagrass coverage with other data of similar accuracy was performed. The 2016 Seagrass coverage was compared to the 2012 Seagrass coverage so that the differences between the coverages could be analyzed. This was done during photo interpretation and quality assurance. Topology has been validated for areas that must not overlap and must have no gaps. Every polygon has a label, there are no multiple labels within polygons and there are no contiguous polygons. Minimum mapping unit for seagrass polygons is 0.5 acre and oysters is 0.25 acre. 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 for the Springs Coast 2016 Seagrass Mapping project. This geotiff data set is for the Southwest Florida Water Management District Seagrass Imagery Acquisition project. The data set consists of 4-band (RGBN) digital imagery at one-foot pixel resolution. 2020 Springs Coast Imagery 2020 Springs Coast Imagery 2020-02-23T00:00:00 SWFWMD SWFWMD SWFWMD Vector Digital Data Set acquisition date 2019-11-10T00:00:00 2020-02-23T00:00:00 Photo interpretation for the project was accomplished using 4-band (RGBN) digital imagery at one-foot pixel resolution. Photo interpretation for the project was accomplished using heads up photogrammetric techniques. Photointerpreter 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 photo interpretation process, positional accuracy of seagrass boundaries was maintained according to the photographic signatures apparent on the photography. The turbidity issues occurred intermittently but were more pronounced in Waccassassa Bay and the offshore areas. Seagrass beds that could not be confirmed from the 2020 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 wrightii beds were difficult to interpret due to the subtle signature changes therefore slight elevation differences along with the field data aided the interpretation. 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 photo interpretation: CODE CLASS NAME: 0 Land, 5400 Bays and Estuaries, 5700 Marine, 6510 Tidal Flats, 6540 Oyster Beds, 7100 Beaches Other Than Swimming Beach, 7210 Sand Other Than Beaches Submerged, 7430 Spoil Areas, 7500 Un-vegetated Hardbottom, 9111 Sparse-Medium Seagrass, 9112 Dense Seagrass, 9113 Patchy Seagrass, 9114 Sparse Patchy Seagrass or Macroalgae and Rock in Unconsolidated Bottom, 9115 Composite Colonized Hardbottom and Seagrass, 9116 Continuous Seagrass, 9121 Attached Algae. The following classification conventions were used in order to ensure consistency of delineation: Bays and Estuaries are delineated using code of 5400. Barren substrate with little or no perceptible seagrass (less than10%) or algae. For this study, the lower limit of what constitutes a seagrass bed is approximately 10% cover; areas with less than 10% cover are considered “unvegetated bottom”. Marine (Gulf of Mexico) are delineated using code of 5700. Barren substrate with no perceptible seagrass (less than10%) or algae. Areas further off shore with no apparent vegetation will be considered “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 Intertidal, non-vegetated, shallow-water habitats. Unconsolidated sediments located in estuarine/low energy environments, and are capable of supporting seagrass if able to establish. A characteristic of this class is its alternating cycle of submergence and exposure to the atmosphere. Oyster Bars using code of 6540. Areas 0.25 acre or greater in size this classification includes oyster bars / reefs and oyster shell hash. Both live and dead oyster habitat will be classified under this class if they achieve dominance within the cover type and meet the minimum mapping unit greater than 0.25 acre. Beaches Other Than Swimming Beach delineated using a code of 7100. Isolated stands of open sand, not vegetated, and not intertidal. Non-swimming beaches are delineated for isolated strands of open (non-vegetated) sand, not typically accessible (on islands and fringes). Sand Other Than Beaches Submerged using a code of 7210. Submerged, Subtidal, non-vegetated sands with visible bright submerged bottoms. This is a District added level 3 class. The standard Sand Other Than Beaches (7200) code is usually in reference to dune sands however it is not restricted to dune sands as bare sands exist in other forms. Spoil Areas using a code of 7430. An area of earth and rock that was excavated or dredged. Usually found adjacent to a channel. They are historical fill activity that may have included placement of rip rap or rock material with signatures present on some of these features now, some of these were field verified to have drift or attached drift algae, make a recommendation to field verify more of these locations in the future to confirm the signatures. Un-vegetated Hardbottom using a code of 7500. Bare consolidated sediment. Limestone pavements with flat, low relief, solid carbonate rock that may be covered by a thin sand veneer. This is a District added level 2 class. Sparse-Medium Seagrass beds using code of 9111. 10% - 75% continuous cover exhibit a continuous and uniform signature and will comprise of less than 75% of total cover. Small, (less than 0.25 acre) sandy bottom features may be interspersed within the bed, but these areas are not dominant. Areas that appear as continuous beds (less than 75%) of seagrass communities, regardless of species composition, will be mapped. Dense seagrass beds are delineated using code of 9112. 75% - 100% continuous cover areas exhibit a continuous and uniform signature. Small, (less than 0.25 acre) sandy bottom features may be interspersed within the bed, but these areas are not dominant. Areas that appear as continuous beds (greater than 75%) 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. Sparse Patchy Seagrass or Macroalgae and Rock in Unconsolidated Bottom areas are delineated using a code of 9114. Areas 0.5 acre or greater in size that consist of areas of primarily sand, attached algae, drift algae, sparse seagrass, and/or low relief rock. These areas contain small, individual rocks that are distinctive yet a low percentage of the total cover. Most of these areas had a distinct black mottled appearance on the 2016 seagrass imagery. Composite Colonized Hardbottom and Seagrass areas are delineated using a code of 9115. Habitats combination of beds of seagrass, attached macroalgae, and areas of consolidated hardbottom colonized by sessile communities such as gorgonians or sponges is a critical structure and habitat for fish and sea turtles. Continuous Seagrass delineated using code of 9116. Seagrass containing areas that exhibit uniform signatures with less than 0.25 percent of any particular area showing up as un-vegetated bottom. These areas exhibit a continuous and uniform signature. Small, (less than 0.25 acre) sandy bottom features may be interspersed within the bed, but these areas are not dominant. Attached Algae are delineated using code of 9121. Only pure stands of Macroalgae, 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 greater than 10% cover. While performing the photo interpretation 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 0.5 acre. 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 0.5 acre "patch" is not mapped individually because the entire bed is the mapped object. D. The minimum mapping unit is 0.25 acre for oysters (6540) 2020-03-30T00:00:00 Avineon, Inc 727-539-1661 ext.301 400 Carillon Pkwy, Suite 200 St Petersburg Florida 33716 2020 Springs Coast Imagery 2020-02-24T00:00:00 This geotiff data set is for the Southwest Florida Water Management District Seagrass Imagery Acquisition project. The data set consists of 4-band (RGBN) digital imagery at one-foot pixel resolution. Quality Assurance and Quality Control Avineon, Inc. has established, documented, implemented and maintained thorough ISO 9001:2008 quality control system. Avineon's Quality Control techniques are designed to ensure products/materials provided by Avineon 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. In-Process photo interpretation, Quality Assurance, Avineon Project Manager and the designated QA photo interpreter systematically reviewed seagrass delineations and classifications interpreted from the aerial photographs. During quality control review using ARC/GIS software, the QA photo interpreter reviewed the seagrass delineations interpreted on the aerial photographs. The photo interpreter completed the required revisions and resubmitted the data to the QA photo interpreter. The work was checked again by the QA photo interpreter prior to delivery. Comparison of the completed seagrass coverage with other data of similar accuracy was performed. The 2016 Seagrass geodatabase was compared to the 2012 Seagrass dataset so that the differences between the datasets could be analyzed. This was done during photointerpretation and quality assurance. 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. 2020-11-17T00:00:00 31423 SpringsCoast_2020_DistrictSeagrass_All Table containing attribute information associated with the data set. Producer defined Feature Class 31423 OBJECTID OBJECTID OID 4 0 0 Internal feature number. Esri Sequential unique whole numbers that are automatically generated. Shape Feature geometry. Esri Coordinates defining the features. Shape Geometry 0 0 0 FLUCCSCODE FLUCCSCODE SmallInteger 2 0 0 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. DOT Florida Land Use, Cover and Forms Classification System Department of Transportation, State of Topographic Bureau, Thematic Mapping Section FLUCCSDESC FLUCCSDESC String 80 0 0 Description of FLUCCS code DOT Florida Land Use, Cover and Forms Classification System Department of Transportation, State of Topographic Bureau, Thematic Mapping Section DATESTAMP DATESTAMP Date 8 0 0 The date the feature was last edited or entered into the map libraries by SWFWMD staff. SWFWMD Date GIS_ACRES GIS_ACRES Double 8 0 0 Geometrically calculated acres SWFWMD Geometrically calculated acres Shape.STArea() Shape.STArea() Double 0 0 0 Area of feature in internal units squared. ESRI Positive real numbers that are automatically generated. Shape.STLength() Shape.STLength() Double 0 0 0 Length of feature in internal units. ESRI Positive real numbers that are automatically generated. dataset EPSG 6.3(9.0.0) Simple FALSE 31423 TRUE FALSE