AndreaBozzo/ceres-open-data-index huggingface dataset:
Lake Okeechobee Littoral Vegetation (2006)

This polygon feature class defines the extent and type of littoral vegetation within the western marsh portion of Lake Okeechobee between Belle Glade and the Kissimmee River (including Eagle Bay Island, Henry Creek, and Three Islands) circa 2006. These data were collected under the CERP and LOPP programs for use in performance measure evaluation related to the long-term health of the Lake Okeechobee's littoral plant community. Okeechobee. Vegetation classification of 84,933 acres the littoral zone of Lake Okeechobee, including Henry Creek, Three Islands, and the Western Marsh. These data were stereoscopically interpreted from color infrared (CIR) aerial photography flown on March 25, 2006 at 1:6000 and 1:12000. Vegetation classification of 2006 CIR aerial photography of the littoral zone of Lake Okeechobee done by Photo Science, Inc.
Lake Okeechobee Littoral Vegetation (2007)

This polygon feature class defines the extent and type of littoral vegetation within the western marsh portion of Lake Okeechobee between Belle Glade and the Kissimmee River (including Eagle Bay Island, Henry Creek, and Three Islands) circa 2007. These data were collected under the CERP and LOPP programs for use in performance measure evaluation related to the long-term health of the Lake Okeechobee's littoral plant community. Okeechobee. Vegetation classification of 84,933 acres the littoral zone of Lake Okeechobee, including Henry Creek, Three Islands, and the Western Marsh. These data were stereoscopically interpreted using softcopy photogrammetric workstations by Photo Science, Inc. from 2007 color infrared (CIR) aerial photography flown at 1:6000 and 1:12,000 scale.
Lake Okeechobee Littoral Vegetation (2010)

This polygon feature class defines the extent and type of littoral vegetation within the western marsh portion of Lake Okeechobee circa 2010. A grid-based approach was used to identify the dominant vegetation type within each 100 sq meter (1 hectare) area. Dominant (VegLabel1) vegetation classes were tallied up to calculate the dominant class' contribution toward the total percent of all the classified grid cells. SFWMD conducted an internal accuracy assessment of the map. The assessment was conducted both on the softcopy stereo veg mapping work station and in the field via helicopter flights. A 100+ grid cells were visited via helicopter to identify the ground conditions as well as the probability that the species had established due to rapid fluctuation of lake stage and may or may not have been present when the aerial imagery was acquired in May 2010. The aerial imagery used in the mapping was acquired by Aerial Cartographics of America, Inc.
Lake Okeechobee Littoral Vegetation (2011)

This polygon feature class defines the extent and type of littoral vegetation within the western marsh portion of Lake Okeechobee circa 2011. A grid-based approach was used to identify the dominant vegetation type within each 100 sq meter (1 hectare) area. Dominant (VegLabel1) vegetation classes were tallied up to calculate the dominant class' contribution toward the total percent of all the classified grid cells.
Lake Okeechobee Littoral Vegetation (2012)

This polygon feature class defines the extent and type of littoral vegetation within the western marsh portion of Lake Okeechobee between Belle Glade and the Kissimmee River (including Eagle Bay Island, Henry Creek, and Three Islands) circa 2012. These data were collected under the CERP and LOPP programs for use in performance measure evaluation related to the long-term health of the Lake Okeechobee's littoral plant community. Vegetation was interpreted from 2012 color infrared (CIR) aerial photography flown in April.
Lake Okeechobee Littoral Vegetation (2015)

This polygon feature class defines the extent and type of littoral vegetation within the northwestern marsh portion of Lake Okeechobee circa 2015. A grid-based approach was used to identify the dominant vegetation type within each 100 sq meter (1 hectare) area. Dominant vegetation types were photointerpreted from 12 inch stereoscopic aerial imagery collected May-June 2015 (1 hectare). SFWMD conducted an internal accuracy assessment of the map. The assessment was conducted both on the softcopy stereo vegetation mapping work station and in the field via helicopter flights. Dominant (VegLabel1) vegetation classes were tallied up to calculate each dominant class' contribution toward the total percent of all the classified grid cells.
Lake Okeechobee Littoral Vegetation (2016)

This polygon feature class defines the extent and type of littoral vegetation in the Moore Haven and south islands parts of the Lake Okeechobee Marsh circa 2016. A grid-based approach was used to identify the dominant vegetation type within each 100 sq meter (1 hectare) area. Dominant vegetation type was photointerpreted from 9 inch stereoscopic aerial imagery collected June 2016. General Description is provided as a reference for dominant vegetation class of 100 m grids (1 hectare). SFWMD conducted an internal accuracy assessment of the 2016 Lake Okeechobee vegetation map. The assessment was conducted both on the softcopy stereo veg mapping work station and in the field via helicopter flights. Dominant (VegLabel1) vegetation classes were tallied up to calculate each dominant class' contribution toward the total percent of all the classified grid cells.
Vegetation in the Littoral Zones of Lake Istokpoga - 2005

This polygon feature class identifies the extent and type of llittoral vegetation for Lake Istokpoga mapped by SFWMD scientists from December 2005 aerial photography. The Vegetation communities were mapped using digital aerial imagery acquired from a Leica ADS40 camera in December of 2005 at a scale of 1 foot pixel resolution. Vegetation species and communities were groundtruthed. A combination of automated image classification and manual photointerpretation were used to classify emergent and floating vegetation communities in accordance with the Florida Land Use, Cover and Forms Classification System (FLUCCS).
Vegetation in the Littoral Zones of Lake Istokpoga - 2009

This polygon feature class identifies the extent and type of llittoral vegetation for Lake Istokpoga mapped by SFWMD scientists from April 2009 aerial photography. The Vegetation communities were mapped using digital aerial imagery acquired from aVexcel UltraCamX (UCX) Sensor. Mapping was accomplished through the use of SocetSet Stereo workstations and Esri software supplimented with fieldwork. Each distinct community of emergent and floating vegetation was mapped according to the Florida Land Use, Cover and Forms Classification System (FLUCCS) as detailed below.
Vegetation in the Littoral Zones of Lake Istokpoga - 2012

This polygon feature class identifies the extent and type of llittoral vegetation for Lake Istokpoga mapped by SFWMD scientists from April 2012 aerial photography. The Vegetation communities were mapped using digital aerial imagery acquired from a a Vexcel UltraCamX (UCX) Sensor. Mapping was accomplished through the use of SocetSet Stereo workstations and Esri software supplimented with fieldwork. Each distinct community of emergent and floating vegetation was mapped according to the Florida Land Use, Cover and Forms Classification System (FLUCCS).
Vegetation in the Littoral Zones of Lake Istokpoga - 2015

This polygon feature class identifies the extent and type of llittoral vegetation for Lake Istokpoga mapped by SFWMD scientists from May 2015 aerial photography. The Vegetation communities were mapped using digital aerial imagery acquired from an Intergraph DMC Sensor. Mapping was accomplished through the use of Esri software supplemented with fieldwork. Each distinct community of emergent and floating vegetation was mapped according to the Florida Land Use, Cover and Forms Classification System (FLUCCS) as modified by FWC for the purposes of mapping lake vegetation.
Lake Worth (Upland) Lagoon Seagrass Communities (2007)

These data serve as documentation for seagrass coverage in the Lake Worth Lagoon system and the Intercoastal Waterway (ICW) throughout Palm Beach County (excluding the ICW north of Jupiter Inlet and the Loxahatchee River) in 2007. {hotointerpretation was accomplished on Avineon's ImageStation Stereo Display (ISSD). Habitat cover type boundaries were photogrammetrically digitized using CadMap/dgn software in conjunction with ISSD, running on Pentium workstations with Windows XP. This software directly captures digital data into MicroStation (Bentley Microsystems, Inc.) for later importation to ARC/INFO. Photointerpreters utilized previously collected field data along with other available collateral data to assist in their interpretation. Throughout the photointerpretation process, positional accuracy of feature boundaries was maintained according to the photographic signatures apparent on the photography. The minimum mapping unit for classification is 0.25 acres (=0.1 hectares). The horizontal accuracy of the data meets NMAS for 1:24,000 scale maps (+/- 40 feet). A major objective of the Lake Worth Lagoon Management Plan is to restore, preserve and create seagrass beds, oyster bars and other submerged benthic habitat. Aerial surveys enable Palm Beach County (PBC) Department of Environmental Resources Management (ERM) to determine the aerial extent of seagrass beds, mangrove habitat, oyster reefs, and spartina within the Lake Worth Lagoon and Intracoastal Waterway, while the fixed transect survey reveal whether selected seagrass beds are stable, expanding or receding. This feature class combines two feature classes with nearly identical features. This one contains those features associated with the LAKEWORTHLAGOON_2007 AND THE LAKEWORTHLAGOON_UPLAND_2007. Features are similar with the exception that Oyster Beds are mapped independent of Tidal Flats. To get acreage and/or show Tidal Flats as previously shown in LAKEWORTHLAGOON_2007, map Tidal Flats and Oyster Beds as a single category.
Loxahatchee River Seagrass Communities (2007)

This polygon feature class identifies the extent and distribution of seagrass communities within the Central Embayment of the Loxahatchee River in July 2007. Seagrass data was photointerpreted from 1:4,800 scale stereo true color aerial photography flown on 7/10/2007 and classified using the SFWMD modified FLUCCS classification system using a minimum mapping unit of 0.25 acres. Mapping and ground truthing were performed by Avineon, Inc. Attribute accuracy was tested by visual comparison of the aerial photographs with the seagrass data to ensure consistency with the classification system and photo signatures. Positional accuracy for this data meets or exceeds the USGS National Map Accuracy Standards (NMAS). These data were collected for monitoring purposes and will be used to track the health of the seagrass communities in this area. Monitoring of Seagrass communities through mapping and photo interpretation provides an effective and economical means for measuring ecological change over time. Detectable changes will result from natural succession, as well as anthropogenically altered forcing functions. Detecting these changes using historical photograph sets can provide a measure of how these factors affect the seagrasses within the Central Embayment of the Loxahatchee River.
Loxahatchee River Seagrass Communities (2006)

This polygon feature class identifies the extent and distribution of seagrass communities within the Central Embayment of the Loxahatchee River in August 2006. Seagrass data was photointerpreted from 1:4,800 scale stereo true color aerial photography diapositives and classified using the SFWMD modified FLUCCS classification system using a minimum mapping unit of 0.25 acres. Mapping and ground truthing were performed by Avineon, Inc. Attribute accuracy was tested by visual comparison of the aerial photographs with the seagrass data to ensure consistency with the classification system and photo signatures. Positional accuracy for this data meets or exceeds the USGS National Map Accuracy Standards (NMAS). These data were collected for monitoring purposes and will be used to track the health of the seagrass communities in this area. Monitoring of Seagrass communities through mapping and photo interpretation provides an effective and economical means for measuring ecological change over time. Detectable changes will result from natural succession, as well as anthropogenically altered forcing functions. Detecting these changes using historical photograph sets can provide a measure of how these factors affect the seagrasses within the Central Embayment of the Loxahatchee River.
Loxahatchee River Seagrass Communities (2004)

This polygon feature class identifies the extent and distribution of seagrass communities within the Central Embayment of the Loxahatchee River in June 2004. Seagrass data was photointerpreted from 1:5,000 scale natural color aerial diapositives. Mapping was performed by Avineon, Inc. Positional accuracy for this data meets or exceeds the USGS National Map Accuracy Standards (NMAS). Digital linework was reviewed over the USGS DOQQ's and on a Zeiss P3 Analytical Stereo Plotter. These data were collected for monitoring purposes and will be used to track the health of the seagrass communities in this area. Monitoring of Seagrass communities through mapping and photo interpretation provides an effective and economical means for measuring ecological change over time. Detectable changes will result from natural succession, as well as anthropogenically altered forcing functions. Detecting these changes using historical photograph sets can provide a measure of how these factors affect the seagrasses within the Central Embayment of the Loxahatchee River.
SFWMD Land Use 1995

A series of land use (LU) maps have been produced by the SFWMD since the early 1970s. It was produced by photointerpretation of 1:40,000 USGS NAPP color infrared photography. The work was carried out by multiple contractors, with significant input and review by a community of stakeholders at the District. The contract was managed by the Technical Resources Team (TRT) at SFWMD. The classification system is a modified version of the statewide FLUCCS (Florida Land Use and Cover Classification System) maintained by FDOT. This modified version uses classes that are mainly at the community level, but also includes a number of species of concern. Modifications and corrections have been made to the map since its creation. There is no formal assessment of accuracy parameters for this layer. Please note that there are several polygons that have a "0" FLUCCS code that represent gaps and slivers in the data. These polygons will be corrected during the next round of SFWMD Data Cleanup.
Natural Soil Landscape Position 1999

Soil map units from 1990's era soil maps were re-classed into 12 categories based on the depth of the seasonal high-water table, soil morphological characteristics, and geographical location.The Natural Soils Landscape Position project was undertaken to simplify the complex, multi-county soil survey data and to promote a clearer understanding of the relationships that exist between soil, hydrology, and vegetation community. The resulting product is a seamless spatial soil landscape layer within the boundaries of the SFWMD as well as a methodology that can be applied to other soils data to produce a similar result. This project was a cooperative effort between SFWMD and the NRCS. Funding was provided as part of the United Satets Environmental Protection agency's grant to the SFWMD for the Comprehensive Conservation Permitting and Mitigation Strategy Wetland Strategies under the assistance agreement ID number X9948864-96-0 to the South Florida Wetlands Conservation Strategy. Associated Technical Publication WS-06 (2001): [Soil Classification Database: Categorization of County Soil Survey Data within the SFWMD Including Natural Soils Landscape Positions]
Soils 1948

This dataset has been prepared under cooperative agreement between the Agricultural Experimental State of the University of Florida, and the Soil Conservation Service, U.S. Department of Agriculture, with informal cooperation of staff members of the Geological Survey, U.S. Department of the Interior, and of the Everglades Drainage District. The Everglades Project of the Soil Conservation Service was set up for research and demonstration work in soil conservation in the Everglades region to determine the various types of land in the Everglades Drainage District. For more background information please refer to: [https://sofia.usgs.gov/exchange/1948_sfwmd_soils_map/background.html]
Blaney Rainfall Site

The South Florida Water Management District uses a modified Blaney-Criddle equation to determine evapotranspiration. This point feature class depicts the location of rainfall monitoring sites used to generate rainfall thiessen areas that are then used to calculate net depth of application area Districtwide. The 'Modified Blaney-Criddle' is a variation of Blaney Criddle, which multiplies the ET from Blaney-Criddle by a coefficient that relates mean air temperature to the growth stage of a crop. Additionally, effective rainfall is calculated using the mean temperature and hours of daylight, the Blaney-Criddle ET, average monthly rainfall and soil factor. Further calculations consider average rainfall to drought rainfall (1-in-10 year drought). The difference between monthly drought effective rainfall and monthly ET becomes the basis for water allocations.
Blaney Rainfall Thiessen Area

The South Florida Water Management District uses a modified Blaney-Criddle equation to determine evapotranspiration. This polygon feature class defines the location and extent of areas associated with rainfall monitoring sites used to calculate net depth of application area Districtwide. The 'Modified Blaney-Criddle' is a variation of Blaney Criddle, which multiplies the ET from Blaney-Criddle by a coefficient that relates mean air temperature to the growth stage of a crop. Additionally, effective rainfall is calculated using the mean temperature and hours of daylight, the Blaney-Criddle ET, average monthly rainfall and soil factor. Further calculations consider average rainfall to drought rainfall (1-in-10 year drought). The difference between monthly drought effective rainfall and monthly ET becomes the basis for water allocations.
Water Supply Planning Regions

In 1997, the Florida Legislature established requirements for the State of Florida’s five water management districts to conduct district-wide water supply assessments and, where appropriate, to subsequently develop regional water supply plans (RWSPs). Specifically, water management districts were required to delineate one or more water supply planning regions within their respective jurisdictions and to conduct a water supply assessment to examine, by region, future water supply demands for a 20-year planning horizon and the ability of existing and reasonably anticipated sources to meet the projected demands. If the Governing Board determines that a RWSP is needed for a particular region, it shall be prepared pursuant to Chapter 97-160, Laws of Florida, and 373.036, Florida Statutes (F.S.). RWSPs are prepared to analyze and present various alternatives for meeting the anticipated future water needs (section 373.709(1), F.S.).The Northwest Florida Water Management District (District) completed its first Water Supply Assessment (WSA) in 1998 (Ryan et al. 1998). At that time, the District delineated seven water supply planning regions (Figure 1.1). The primary factors considered in delineation of the regions were county boundaries and the similarity of water supply conditions. County boundaries were used because population data needed for estimating and projecting water use is typically available at the county level. The seven water supply planning regions are:I Escambia CountyII Okaloosa, Santa Rosa, and Walton countiesIII Bay CountyIV Calhoun, Holmes, Jackson, Liberty, and Washington countiesV Franklin and Gulf countiesVI Gadsden CountyVII Jefferson, Leon, and Wakulla countiesThe field "RWSP" indicates if a RSWP is required per the latest WSA. Only Regions II and III are currently subject to RWSPs.
SFWMD Facility Sites

SFWMD Facility Locations. This point dataset documents the locations of SFWMD facilities. Facilities include Field Stations, Area Offices, Service Centers, Labs, and Headquarters. The South Florida Water Management District is headquartered in West Palm Beach. At convenient locations in Fort Myers, Orlando and Okeechobee, our three regional Service Centers offer local assistance with District permitting and provide regulatory oversight in their respective service areas. A fourth Service Center in Naples is responsible for managing the primary flood control system of the Big Cypress Basinand protecting regional water supplies and environmental resources. Eight Field Stations serve as operational bases for staff involved in maintaining and operating the water control structures, machinery and lands associated with our regional water management systems.
SFWMD Land Cover Land Use 2008-2009

This data set serves as documentation of land cover and land use (LCLU) within the South Florida Water Management District as it existed in 2008-09. Land Cover Land Use data was updated from 2004-05 LCLU by photo-interpretation from 2008-09 aerial photography and classified using the SFWMD modified FLUCCS classification system. Features were interpreted from the county-based aerial photography (4 in - 2 ft pixel) and updated on screen from the 2004-05 vector data. Horizontal accuracy of the data corresponds to the positional accuracy of the county aerial photography. The minimum mapping unit for classification was 2 acres for wetlands and 5 acres for uplands. The update was completed on 07/11/2011 (version 1.0). The "wet prairie" (6430) category was added back into the database on 01/18/2012, for areas that were classified as wet prairie in the 2004-5 LCLU and had been converted to freshwater marsh (6410) for the 2008-9 LCLU (version 1.1). For Zipped File Geodatabase Download: [https://sfwmd.maps.arcgis.com/home/item.html?id=989eb66b1b3b43fc9ddd30d29eaf0904]
Blaney Net Depth of Application

This polygon feature class defines locations and extents for net application depths calculated using the 'Modified Blaney-Criddle' equation. These areas are referenced in Figures SCR-1 through SCR-15 in the Water Use Permitting Manual, Vol. III, Part B, Section V. Supplemental Crop Requirement and Withdrawal Calculation. The South Florida Water Management District uses a modified Blaney-Criddle equation to determine evapotranspiration. The 'Modified Blaney-Criddle' is a variation of Blaney Criddle, which multiplies the ET from Blaney-Criddle by a coefficient that relates mean air temperature to the growth stage of a crop. Additionally, effective rainfall is calculated using the mean temperature and hours of daylight, the Blaney-Criddle ET, average monthly rainfall and soil factor. Further calculations consider average rainfall to drought rainfall (1-in-10 year drought). The difference between monthly drought effective rainfall and monthly ET becomes the basis for water allocations.
CERP Regions

Comprehensive Everglades Restoration Plan: The Comprehensive Everglades Restoration Plan is a U.S. Army Corps of Engineers lead re-evaluation of the Central & Southern Florida Project that provides a framework and guide to restore, protect and preserve the water resources of central and southern Florida, including the Everglades. It covers 16 counties over an 18,000-square-mile area. Its goal is to capture and redirect fresh water to areas where it is needed most. Scientific and technical evaluations and assessments, as well as data collection, are performed by a mutli-agency team of scientists, modelers, planners, and resource specialists under the Restoration Coordination and Verificaton (RECOVER) program.