This data set represents the extent, approximate location and type of wetlands and deepwater habitats in the United States and its Territories. These data delineate the areal extent of wetlands and surface waters as defined by Cowardin et al. (1979). The National Wetlands Inventory - Version 2, Surface Waters and Wetlands Inventory was derived by retaining the wetland and deepwater polygons that compose the NWI digital wetlands spatial data layer and reintroducing any linear wetland or surface water features that were orphaned from the original NWI hard copy maps by converting them to narrow polygonal features. Additionally, the data are supplemented with hydrography data, buffered to become polygonal features, as a secondary source for any single-line stream features not mapped by the NWI and to complete segmented connections. Wetland mapping conducted in WA, OR, CA, NV and ID after 2012 and most other projects mapped after 2015 were mapped to include all surface water features and are not derived data. The linear hydrography dataset used to derive Version 2 was the U.S. Geological Survey's National Hydrography Dataset (NHD). Specific information on the NHD version used to derive Version 2 and where Version 2 was mapped can be found in the 'comments' field of the Wetlands_Project_Metadata feature class. Certain wetland habitats are excluded from the National mapping program because of the limitations of aerial imagery as the primary data source used to detect wetlands. These habitats include seagrasses or submerged aquatic vegetation that are found in the intertidal and subtidal zones of estuaries and near shore coastal waters. Some deepwater reef communities (coral or tuberficid worm reefs) have also been excluded from the inventory. These habitats, because of their depth, go undetected by aerial imagery. By policy, the Service also excludes certain types of "farmed wetlands" as may be defined by the Food Security Act or that do not coincide with the Cowardin et al. definition. Contact the Service's Regional Wetland Coordinator for additional information on what types of farmed wetlands are included on wetland maps. This dataset should be used in conjunction with the Wetlands_Project_Metadata layer, which contains project specific wetlands mapping procedures and information on dates, scales and emulsion of imagery used to map the wetlands within specific project boundaries. Please reference the metadata for contact information.

This dataset (2012-2020) is a compilation of the Land Use/Land Cover datasets created by the 5 Water Management Districts in Florida based on imagery -- North West Florida Water Management District (NWFWMD) 2019, Suwannee River Water Management District (SRWMD) 2019-2020, St. John's River Water Management District (SJRWMD) 2013-2016, 2013 (Dec 2012 – Mar 2013) - Duval, Bradford, 2014 (Dec 2013 – Mar 2014) - Alachua, Baker, Clay, Flagler, Lake, Marion, Nassau, Osceola, Polk, Putnam, St. John’s, 2015 (Dec 2014 – Mar 2015) - Brevard, Indian River, Okeechobee, Seminole, Volusia, 2016 (Dec 2015 – Mar 2016) - Orange, South West Florida Water Management District (SWFWMD) 2020 and South Florida Water Management District (SFWMD) 2017-2019. Codes are derived from the Florida Land Use, Cover, and Forms Classification System (FLUCCS-DOT 1999) but may have been altered to accommodate region differences.

Geospatial data about St Lucie County, Florida National Wetlands Inventory. Export to CAD, GIS, PDF, CSV and access via API.

The Functional Wetlands dataset is based on wetlands identified in the Cooperative Land Cover Map v3.3. Functional wetlands are defined as those in a more natural state and the prioritization is based on overlap with a Land Use Intensity index and FNAI Potential Natural Areas. For more information see the Conservation Needs Assessment Technical Report: https://www.fnai.org/conslands/florida-forever. Value 1 = Priority 1 (Highest); Value 2 = Priority 2; Value 3 = Priority 3; Value 4 = Priority 4; Value 5 = Priority 5; Value 6 = Priority 6Data download page

Wetland locations and classifications as defined by the U.S. Fish and Wildlife Service National Wetlands Inventory (NWI). These data were digitized from the 1:24,000 NWI maps. This service is for the Open Data Download application for the Southwest Florida Water Management District.

This raster dataset has been created using the National Wetlands Inventory originated by the US Fish & Wildlife Service. Conservation values were determined by SmartConservationTM methodology developed by Natural Lands Trust using the attribute field "Attribute" as follows: Old Values New Values U 0 FL; FL/US; RB; RS; SB; UB; US; BB 1 AB; AB/UB; UB/AB; AB/OW; FL/OW; OW 2 UB/EM; UB/FO 4 EM; EM/AB; EM/FL; EM/FO; EM/OW; EM/SS; EM/UB; 10 FO; FO/EM; FO/OW; FO/SS; FO/UB; 10 SS; SS/EM; SS/FO; SS/OW; SS/UB 10 Conservation values were determined by experts gathered by Natural Lands Trust through SmartConservation®. This data set is one of several that have been combined to create an overall aquatic resources conservation value raster for the expanded piedmont ecoregion. Therefore the values were determined as a relative rank, comparable in value only to the other input aquatic resources data. Conservation value ranges from 1 - 10 with 10 being the highest value.

This map image layer displays hydrography or surface water features (Wetlands, Waterbodies, and Watercourses) for Tallahassee - Leon County, Florida. The features in this group layer were initially mapped by Staff at LCDSEM and TLCGIS as part of the Environmentally Sensitive Areas Project. These features are updated with imagery, digital elevation models (Lidar) and field observations on and as needed basis.Sources and MethodsWatercourses: This linear feature layer displays watercourses in Tallahassee and Leon County, Florida. The watercourses were mapped to conform to the TLCGIS topographic data. The raster digital elevation data and 2-ft contour data was used to control the placement of the linework. Water course features were digitized in a downslope direction. Features were split at impediments and when passing under roads. For connectivity purposes, features were added when watercourses enter lakes and where watercourses pass trough swamps with non-channelized flow. All watercourse features are snapped end-to-end and attributed according to type and descriptionWaterbodies: This polygon feature layer displays waterbodies in Tallahassee and Leon County Florida at NHW or Normal High Water elevation. The initial data source was the original water body data from the 1988 ESA maps. Additionally, Hydro features Type=215 from 2009, 2012, and 2015 Landbase datasets are added. The newly added waterbodies are examined to determine if they normally hold water by comparing aerial photography. Sources used as reference for the delineation process are the 2009 DEM, 2012 DEM, and the 2015 DEM, Leon County Soil Survey, National Wetlands Inventory (NWI) features which have Water1 attribute classifications of F, G, or H, 1996 Additional data sources include , USGS Digital Ortho Quarter Quadrangle imagery, orthoimagery from 1996, 2009, 2012, and 2015, permit files, and field verification. All polygon features are attributed and assigned a confidence interval. 4=walked boundary; 3=field verified, 2=sources agree, 1=sources disagree. Confidence intervals can change as a result of further investigation. Supplemental Information Waterbody features were obtained through remote sensing and topographic analysis. Site specific study needed to verify the normal high water line.Wetlands: Wetland features of Tallahassee - Leon County, FL as mapped by Staff at DSEM and TLCGIS. The 1988 ESA wetlands and additional wetlands were delineated using topographic analysis and aerial photo interpretation. Many wetlands were then field verified with analysis of soils, vegetation and hydrologic indicators. For wetlands where access was denied, wetland status was verified from roadside. The following data sources were used in wetland delineation: 1) 1988/1991 Landbase; 2) 1996 Landbase; 3) 1996 Digital Elevation Model; 4) Leon County Soil Survey; 5) National Wetland Inventory; 6) 1996 Digital Ortho Photos; 7) USGS Digital Ortho Quarter Quadrangles; 8) 1937 black and white aerial photo prints; 9) 1994 false color infrared aerial photos; 10) 1999 false color infrared aerial photos; 11) permit files; and 12) field verification. All polygon features were attributed and assigned a confidence interval. 4=walked boundary; 3=field verified, 2=sources agree, 1=sources disagree. Confidence intervals can change as a result of further investigation. Supplemental Information Wetland features were obtained through remote sensing and topographic analysis with limited field verification. Site specific survey needed to verify wetland boundary.

Vegetation mapping will monitor the spatial extent, pattern, and proportion of plant communities within major landscape regions of the Greater Everglades Wetlands. Specific landscape changes to be monitored that pertain to the CERP include the following: · Changes in the extent and orientation of sloughs, tree islands, and sawgrass ridges as flow patterns, flow volumes, hydroperiods, and water quality are modified in the ridge and slough landscape · Changes in the extent and distribution of cattail as flow patterns, flow volumes, hydroperiods, and water quality are modified in the ridge and slough landscape · Changes in the extent and distribution of exotic plant communities · Changes in the distribution and configuration of tidal creeks, salt marshes, and mangrove forests as changing flow patterns and volumes interact with sea level and salinity in the mangrove estuaries of Florida Bay and the Gulf of Mexico · Changes in the distribution of plant communities in calcitic wetlands, including tussock-forming Muhlenbergia and sawgrass communities in the major breeding locations of the Cape Sable seaside sparrow, as hydrologic gradients change · Changes in the distribution of plant communities of eastern Big Cypress with the removal of L-28 and hydroperiod restoration in the Kissimmee Billy Strand Regional landscape patterns will be monitored using a combination of a transect and sentinel site sampling design (Section 3.1.3.1) and a stratified random sampling design (Section 3.1.3.10). Aerial photo-interpretation is currently the best tool available to produce dependable and accurate maps of the Everglades (Welch et al. 1995, Doren et al. 1999, Rutchey and Vilchek 1999, Richardson and Harris 1995). Aerial photography of the greater Everglades wetland system at a scale of 1/24,000 will be purchased at three-year intervals. Photography will be interpreted and ground-truthed to produce vegetation maps at three-year intervals for the randomly selected cells. Additional cells will be mapped to supplement the stratified random cells along the alignments of the coastal, marl prairie -slough, and WCA gradients that are described above. The vegetation classification scheme of Jones et al. (unpublished report) will be used to identify major plant communities that are defined by typical dominant species.

The AHF system has been deployed in a series of survey campaigns to collect over 60,000 points covering Everglades National Park, Loxahatchee National Wildlife Refuge, Water Conservation Areas 2 and 3, portions of Big Cypress National Preserve, as well as areas along the Lake Okeechobee littoral zone. Since the AHF System is able to penetrate Everglades vegetation and water cover, it has provided an unprecedented regional view of Everglades topographic gradients and sub-water surface structure. These data are now being used to simulate Everglades water flow with higher resolution and greater accuracy, to estimate water depths in real-time for field study planning, and as input for habitat models used to forecast the effects of water level changes on various important species. The elevation data collected through this project also formed the basic input to generate a regional topographic surface that is the basis for the Everglades Depth Estimation Network (EDEN). These high accuracy elevation data are made available to anyone through the South Florida Information Access website (http://sofia.usgs.gov) data exchange pages.

MAP Activity Accomplishment The USGS Airborne Height Finder (AHF) System was used to perform topographic surveys in Water Conservation Area 3A within the extents of the Lone Palm Head and North of Lone Palm Head 7.5-minute topographic map quadrangles as specified in the MAP/COE Interagency Agreement. The AHF system has been used throughout South Florida for elevation data collection because traditional surveying methods are too difficult, too costly, or simply impossible to use in the harsh wetland environment and broadly inaccessible terrain of the Florida Everglades. This is especially true considering the shear size of the hydrodynamic and biological modeling domains. The AHF is a helicopter-based instrument that uses a GPS receiver, a computer, and a mechanized plumb bob to make measurements. These data were post processed to the reference stations that are part of the AHF geodetic control network. For reasons of accuracy, these reference stations are located no more then 15 kilometers from the helicopter during AHF operations. The GPS data were post processed using Ashtech’s PNAV On The Fly (OTF) software to obtain the trajectory of the AHF platform. These results are then processed through an in-house software package that separates the actual survey points and results from the trajectory. The points are manually checked to ensure data accuracy and completeness. Digital elevation models (DEMs) were then generated from the elevation point data. Existing elevation data derived from LiDAR data for this area were replaced with AHF derived DEMs for reasons of vertical accuracy. The DEMs have been posted on the South Florida Information Access (SOFIA) website: http://sofia.usgs.gov/exchange/desmond/desmondelev.html.

Tidal flats are non-vegetated areas of sand or mud protected from wave action and composed primarily of mud transported by tidal channels. An important characteristic of the tidal flat environment is its alternating tidal cycle of submergence and exposure to the atmosphere. This GIS data set was created to show a statewide representation of unvegetated tidal flats, compiled from the best available sources. The sources included individual seagrass mapping studies and National Wetlands Inventory (NWI) data for Florida. The NWI was ERASEd using more recent data sources that showed some areas were indeed vegetated. See Source Information for more details on how each source was used.

This data release includes geospatial data for irregularly flooded wetlands and high marsh and salt pannes/flats along the northern Gulf of Mexico coast from Texas to Florida. Specifically, this release includes seven products: (1) a map highlighting the continuous probability that an area is an irregularly flooded wetland; (2) a map of irregularly flooded wetland probability reclassified into four bins; (3) a map delineating high marsh and salt pannes/flats; (4) a map from Lake Pontchartrain, Louisiana to the Florida Big Bend delineating the coverage of irregularly flooded wetlands that have Juncus roemerianus (Black needlerush) as the dominant vegetation species; (5) a spatial metadata file showing what elevation data were used for specific locations; (6) a supplemental version of the high marsh and salt pannes/flats map that has a second class for high marsh for parts of Texas where succulents and Distichlis spicata were dominant species; and (7) a dataset of supplemental project-specific field reference data collected throughout the northern Gulf of Mexico coast. Collectively, the products in this data release were developed using a two-step approach that utilized the best-available elevation data and satellite data from 2018 to 2020. The first step in the process was to create a probabilistic map of irregularly flooded wetlands using light detection and ranging (lidar)-derived digital elevation models (DEMs), tidal datums, and nuisance flooding levels. Monte Carlo simulations were used to propagate uncertainty in elevation-based data, and existing land cover data were used to restrict the output to coastal wetland areas. Due to the focus of this study on high marsh, these coastal wetland areas did not include tidal forested fresh wetlands. The second step was to delineate high marsh and salt pannes/flats using reference data which included project-specific data collection in collaboration with land managers and other ancillary datasets across the northern Gulf of Mexico coast. These data were combined with Sentinel-1 synthetic aperture radar imagery, multispectral optical satellite imagery from Sentinel-2, DEMs, and the irregularly flooded wetland probability layer to generate a contemporary map of high marsh and salt pannes/flats along the northern Gulf of Mexico coast. This product is the first regional map of these wetland systems across the northern Gulf of Mexico coast.

FEMA Flood ZonesFlorida Wetlands

A hierarchical vegetation classification model (10 m resolution) was developed for southwest Florida wetlands using a fusion of multispectral and synthetic aperture radar (SAR) remotely sensed imagery. Sentinel-1 and 2 imagery were obtained from Dec 2015-Sept 2017, split into wet and dry seasons, and processed for a range of vegetation and multi-temporal indices for a total of 26 predictor layers. Training datasets included polygons developed from field surveys and high resolution imagery collected from 2010 - 2018. The domain was first split into estuarine and interior wetlands, then an open water, forest, or grassland model (high level) was developed for each wetland type. Finally, classification model that included species and community-level classes (fine level) was created. Mean overall accuracy was 0.90 and 0.80 for the high and low level models, respectively.

The Comprehensive Everglades Restoration Plan (CERP - www.evergladesplan.org), authorized as part of the Water Resources and Development Act (WRDA) of 2000 (U.S. Congress 2000), is an $US8-10 billion hydrologic restoration project for south Florida. CERP includes 68 separate projects to be managed over the next 30 years by the South Florida Water Management District (SFWMD) and the U. S. Army Corps of Engineers (USACE). Restoration Coordination and Verification (RECOVER) is a system-wide program within the CERP to organize and provide scientific and technical support for design, implementation, and assessment of the restoration program. It is the role of RECOVER to develop a system-wide monitoring and assessment plan that will document how well the CERP is meeting its objectives for ecosystem restoration.

Vegetation mapping will be used to document changes in the spatial extent, pattern, and proportion of plant communities within the landscape. This map represents the 2009 baseline land-cover vegetation map of northern Everglades National Park and Big Cypress National Preserve..

This data set serves as documentation of land cover and land use (LCLU) within the South Florida Water Management District as it existed in 2014-16. Land Cover Land Use data was updated from 2008-09 LCLU by photo-interpretation from 2014-16 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), see imagery year in the "AERIAL DATE" field. The features were updated on screen from the 2008-09 vector data. Horizontal accuracy of the data corresponds to the positional accuracy of the county aerial photography. The minimum mapping unit for classification was 0.5 acres for wetlands and 5 acres for uplands. This dataset is now complete.2014 Photointerpretation Key: https://geoext.geoapps.sfwmd.gov/TPubs/2014_SFWMD_LULC_Photointerpretation_Key.pdf To download zipped file geodatabse: https://sfwmd.maps.arcgis.com/home/item.html?id=266a64a897514090842e283311c12d30

This group of layers was developed by the Balmoral Group and contains the natural, cultural, and historical resources critical assets layers for Florida as defined in 380.093(2)(a) Florida Statutes. The layers were sourced from various public State of Florida land use, Florida State Parks, State of Florida inventory of historical structures, and Federal Sources. Natural, cultural, and historical resources critical assets include conservation lands, parks, shorelines, surface waters, wetlands, and historical and cultural assets. Typically, the data are utilized in various vulnerability assessments in evaluating the exposure and sensitivity from combined events of sea level rise, precipitation, major storms, and flooding. The data will also be used in efforts to complete a comprehensive statewide assessment for the State of Florida.

This project consists of 5 files, a ReadMe (text) and four geospatial shapefiles generated in ArcPro 3.0.4. (ESRI). Two shapefiles depict the distribution and spatial extent of artificial water features (AWFs, e.g., reservoirs, stormwater retention ponds) in the 1950s and in 2007 in the Tampa Bay Watershed. The other two depict the distribution and spatial extent of wetlands in the 1950s and in 2007 in the Tampa Bay Watershed. We used a combination of heads-up digitizing (while observing 1950s aerial black and white aerial imagery) and reference to ancillary datasets to map wetlands and AWFs in the 1950s. We based the wetlands 2007 map off the land use land cover dataset published by SWFWMD (2008). We similarly based the 2007 AWF dataset on the SWFWMD LULC dataset but additionally digitized AWF features while referencing aerial imagery and products supplied by the Mosaic Company.Additional method descriptions can be found in Rains et al. 2013 (wetland datasets, https://link.springer.com/article/10.1007/s13157-013-0455-4) and in Rains et al. (2023) titled Reorganizing the waterscape: asymmetric loss of wetlands and gain of artificial water features in a mixed-use watershed (AWF and change datasets). We initially developed the two wetland datasets, in collaboration with the Balmoral Group, to support a wetland area change analysis in the Tampa Bay Watershed. We subsequently used these datasets in our present work (Rains et al. 2023) to analyze change in wetland distribution, configuration, and geometry (e.g., perimeter length). The wetland datasets are not meant as a map of jurisdictional wetlands.

The EnviroAtlas Tampa, FL Meter-Scale Urban Land Cover (MULC) data was generated from USDA NAIP (National Agricultural Imagery Program) four band (red, green, blue and near infrared) aerial photography from April-May 2010 at 1 m spatial resolution. Eight land cover classes were mapped: impervious surface, soil and barren, grass and herbaceous, trees and forest, water, agriculture, woody wetland, and emergent wetland. The area mapped is defined by the US Census Bureau's 2010 Urban Statistical Area for Tampa, and includes the cities of Clearwater and St. Petersburg, as well as additional out-lying areas. An accuracy assessment using a stratified random sampling of 600 samples (100 per class) yielded an overall accuracy of 70.67 percent and an area weighted accuracy of 81.87 percent using a minimum mapping unit of 9 pixels (3x3 pixel window). This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).

This digital elevation model (DEM) is a part of a series of DEMs produced for the National Oceanic and Atmospheric Administration Coastal Services Center's Sea Level Rise and Coastal Flooding Impacts Viewer. The DEMs created for this project were developed using the NOAA National Weather Service's Weather Forecast Office (WFO) boundaries. Because the WFO boundaries can cover large areas, the WFO DEM was divided into smaller DEMs to ensure more manageable file sizes. The Tampa (FL) WFO DEM was split into two smaller DEMs. They are divided along county lines and are: 1. Tampa (FL) WFO - Citrus, Hernando, Pasco, Pinellas, and Hillsborough Counties 2. Tampa (FL) WFO - Manatee, Sarasota, Charlotte, and Lee CountiesThis is Tampa Bay file 2 of 2. This metadata record describes the DEM for Tampa (FL) WFO - Manatee, Sarasota, Charlotte, and Lee Counties. The DEM includes the best available lidar data known to exist at the time of DEM creation for the coastal areas of Manatee, Sarasota, Charlotte, and Lee counties, that met project specifications.The DEM is derived from LiDAR datasets collected for the Florida Department of Emergency Management (FDEM) and the Southwest Florida Water Management District (SWFWMD). The FDEM LiDAR data for Manatee, Sarasota, Charlotte and Lee Counties was collected in 2007 and 2008. Small portions of Manatee and Charlotte Counties were collected in 2005. Hydrographic breaklines used in the creation of the DEM were obtained from FDEM and SWFWMD. In some cases, the National Wetlands Inventory and National Hydrography Dataset were used to supplement breaklines from FDEM and SWFWMD. The DEMs are hydro flattened such that water elevations are less than or equal to 0 meters.The DEM is referenced vertically to the North American Vertical Datum of 1988 (NAVD88) with vertical units of meters and horizontally to the North American Datum of 1983 (NAD83). The resolution of the DEM is approximately 5 meters.The NOAA Coastal Services Center has developed high-resolution digital elevation models (DEMs) for use in the Center's Sea Level Rise And Coastal Flooding Impacts internet mapping application. These DEMs serve as source datasets used to derive data to visualize the impacts of inundation resulting from sea level rise along the coastal United States and its territories.The dataset is provided "as is," without warranty to its performance, merchantable state, or fitness for any particular purpose. The entire risk associated with the results and performance of this dataset is assumed by the user. This dataset should be used strictly as a planning reference and not for navigation, permitting, or other legal purposes.

Ten monitoring stations will be operated and maintained along the southwest coast of ENP, the Everglades wetlands, and along the coastlines of northeastern Florida Bay and northwest Barnes Sound. Data collected at these 10 stations will include water level, velocity, salinity, and temperature. Three stations (Upstream North River, North River, and West Highway Creek) will also include automatic samplers for the collection of water samples and determination of Total Nutrients (TN and TP). These 10 stations will complement information currently being generated through an existing network of 20 hydrologic monitoring stations of on-going USGS projects. By combining data collected from the ten monitoring stations and the existing monitoring network, information will be available across 9 generalized coastal gradients or transects. Data collected at all flow sites will be transmitted in near real time (every 1 or 4 hours) by way of satellite telemetry to the automated data processing system (ADAPS) database in the USGS Center for Water and Restoration Studies (CWRS) in Miami and available for CERP purposes. In addition to data from monitoring stations described above, salinity surveys will be performed along these 9 generalized transects, and these will include salinity, temperature, and GPS data from boat-mounted systems. Surveys will be performed regularly on a quarterly basis and twice following hydrologic events, totaling a maximum of 6 surveys per year.

 The Water Resources Development Act (WRDA) of 2000 authorized the Comprehensive Everglades Restoration Plan (CERP) as a framework for modifications and operational changes to the Central and Southern Florida Project needed to restore the south Florida ecosystem. Provisions within WRDA 2000 provide for specific authorization for an adaptive assessment and monitoring program. A Monitoring and Assessment Plan (MAP) has been developed as the primary tool to assess the system-wide performance of the CERP by the REstoration, COordination and VERification (RECOVER) program. The MAP presents the monitoring and supporting enhancement of scientific information and technology needed to measure the responses of the South Florida ecosystem. The MAP also presents the system-wide performance measures representative of the natural and human systems found in South Florida that will be evaluated to help determine the success of CERP. These system-wide performance measures address the responses of the South Florida ecosystem that the CERP is explicitly designed to improve, correct, or otherwise directly affect. A separate Performance Measure Documentation Report being prepared by RECOVER provides the scientific, technical, and legal basis for the performance measures. This project is intended to support the Greater Everglades (GE) Wetlands module of the MAP and is directly linked to the monitoring or supporting enhancement component In 2003, CERP MAP funding through the South Florida Water Management District established 10 monitoring stations as part of the Coastal Gradients Network. The purpose of this MAP project with the USACE is to continue operation of these 10 stations for the MAP activities.