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FGDC
FGDC CSDGM Metadata
dataset
Chris J. Anastasiou, PhD
Southwest Florida Water Management District
Chief Scientist
352-796-7211
2379 Broad Street
Brooksville
Florida
34604
20230224
ArcGIS Metadata
1.0
Enterprise Geodatabase Feature Class
SEAGRASS2022
2023-01-20
NV5 Geospatial, Nathaniel Morton, GISP, Remote Sensing Technical Expert
vector digital data
<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 St. Joseph Sound and Clearwater Harbor, Tampa Bay, Sarasota Bay, Lemon Bay and Charlotte Harbor as it existed in December 2021 to January 2022. Seagrass data were photointerpreted from 2022 1”=1,800’ photo 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 2022 seagrass map from 1”=1,800’ photo scale natural color aerial photography that is consistent with and aligned to the previous 2020 seagrass map. This data was produced for the SWFWMD's "2022 Biennial Seagrass Coverage - Suncoast (W331)" project.
NV5 Geospatial
Chris J. Anastasiou, PhD
Southwest Florida Water Management District
Chief Scientist
352-796-7211
2379 Broad Street
Brooksville
Florida
34604
Sarasota Bay
St. Joseph's Sound and Clearwater Harbor
Charlotte Harbor
Lemon Bay
Southwest Florida Water Management District
Tampa Bay
map
coastal
2022 seagrass
habitat
submerged vegetation
sav
FLUCCS
benthic
map
Sarasota Bay
St. Joseph's Sound and Clearwater Harbor
Charlotte Harbor
Lemon Bay
coastal
2022 seagrass
habitat
submerged vegetation
sav
FLUCCS
Southwest Florida Water Management District
Tampa Bay
benthic
<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The positional accuracy of this data meets USGS NMAS for 1:12,000 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.</SPAN></P></DIV></DIV></DIV>
Esri ArcGIS 12.8.3.29751
Extent contains the resource
2023-01-20T00:00:00
Interpreted from 1”=1,800’ natural color aerial photography flown in Winter 2022. Although the imagery was collected under near cloud free conditions there were some clouds as well as turbidity issues in and around some of the passes. Data were compiled using Esri ArcGIS in a manual digitizing environment.
1
-82.853954
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28.174748
26.693195
2023-01-20T00:00:00
Every 2 years
Map was assessed against imagery at greater than 90%
Map was assessed against imagery at greater than 90%
Photointerpretation for the project was accomplished using manual digitizing 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 2022 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). Existing 2022 seagrass polygons that could not be confirmed from the 2022 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 '2' was most effective in enhancing seagrass beds that were otherwise inconspicuous on the un-stretched imagery. Seagrass, macroalge and drift algae 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: FLUCCS_Code - FLUCCS_Descrip 5400 -Water; 6510 - Tidal Flat; 6540 - Oyster Bar; 7210 – Submerged Other Than Seagrass; 9113 - Patchy Seagrass; 9116 – Continuous Seagrass; 9121 - Attached Macroalgae; 9122 – Composite Colonized Algae; 0 – Land, Classifications. The following classification conventions were used to ensure consistency of delineation: Open water 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. Submerged Other Than Seagrass (7210) are used for sandy bottoms or or persistent filamentous/drift algae benthic bottoms less than 6 feet deep which are currently void of seagrass 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 Macroalgae are delineated using code of 9121. Only pure stands of green algae, Caulerpa prolifera, Caulerpa fastigiata and Sargassum, are mapped. All polygons mapped as algae (9121) are field verified during the mapping process. When Caulerpa prolifera, Caulerpa fastigiata 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. Composite Colonized Algae are delineated using code of 9122. Co-dominant matrix of sparse macroalge that may exist with hard bottom, sponges, etc. without a presence of seagrass. 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 NV5 Geospatial, Inc. has established, documented, implemented and maintains a thorough quality control system NV5 Geospatial‘s Quality Control techniques are designed to ensure products/materials provided by NV5 Geospatial 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 2022 Seagrass geodatabase was compared to the 2020 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’s 2022 “Biennial Seagrass Coverage - Suncoast (W331)” project. Upon receipt of the 2022 aerial photography, NV5 Geospatial’s Quality Assurance Manager and the designated QA Photointerpreter systematically reviewed seagrass delineations and classifications interpreted from the aerial photography. Using Esri ArcGIS Pro 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 NV5 Geospatial’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 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 Pro conventions. A 2022 seagrass Geodatabase of the entire SWFWMD Tarpon Springs to Boca Grande Seagrass Mapping project was delivered by electronic transfer.
2021-05-28T00:00:00
27748
EPSG
6.3(9.0.0)
SEAGRASS2022
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Class codes from the Florida Land Use, Cover and Forms Classification System (FLUCCS), which was originally compiled by Florida Department of Transportation, State Topographic Bureau.
FDOT
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Class codes from the Florida Land Use, Cover and Forms Classification System (FLUCCS), which was originally compiled by Florida Department of Transportation, State Topographic Bureau.
FDOT
Class codes from the Florida Land Use, Cover and Forms Classification System (FLUCCS), which was originally compiled by Florida Department of Transportation, State Topographic Bureau.
FDOT
DATESTAMP
The date the feature was last edited or updated.
SWFWMD
Date of final delivery
DATESTAMP
Date
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OBJECTID
Internal feature number.
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