Skip to main content
Advanced Search

Filters: Tags: WETLANDS (X) > Extensions: ArcGIS Service Definition (X)

20 results (26ms)   

Filters
Contacts (Less)
View Results as: JSON ATOM CSV
thumbnail
This is a continuous raster dataset identifying wetlands that are currently suitable for mottled duck brood-rearing activities in the Western Gulf Coast. The identification process is based on key biological parameters such as wetland type, number of years inundated, distance to brood nesting habitat, etc. Additionally, this raster dataset presents the data in a form that prioritizes habitat from more suitable to less suitable based on landscape metrics. The scale ranges from 9.9999 to .000005, higher value designating higher suitability ranking.
thumbnail
Lidar-derived digital elevation models often contain a vertical bias due to vegetation. In areas with tidal influence the amount of bias can be ecologically significant, for example, by decreasing the expected inundation frequency. We generated a corrected digital elevation mode (DEM) for Suisun marsh using a modification of the Lidar Elevation Adjustment with NDVI (LEAN) technique (Buffington et al. 2016). GPS survey data (6912 points, collected across public and private land in 2018), Normalized Difference Vegetation Index (NDVI) derived from an airborne multispectral image (June 2018), a 1 m lidar DEM from September 2018, and a 1 m canopy surface model were used to generate models of predicted bias across the...
thumbnail
Lidar-derived digital elevation models often contain a vertical bias due to vegetation. In areas with tidal influence the amount of bias can be ecologically significant, for example, by decreasing the expected inundation frequency. We generated a corrected digital elevation mode (DEM) for tidal marsh areas around San Francisco Bay using the Lidar Elevation Adjustment with NDVI (LEAN) technique (Buffington et al. 2016). Survey-grade GPS survey data (6614 points), NAIP-derived Normalized Difference Vegetation Index, and original 1 m lidar DEM from 2010 were used to generate a model of predicted bias across tidal marsh areas. The predicted bias was then subtracted from the original lidar DEM and merged with the NOAA...
thumbnail
Description of condition index value scores for estuarine tidal marsh along and within 10 km of the GCPO LCC Gulf Coast subgeography. A series of raster calculations were used in a dichotomous decision-based framework to compile a per-pixel draft condition index value at a 10 m resolution for GCPO estuarine tidal marsh based on the number of configuration and condition endpoints met within each marsh pixel. Pixels not identified as a estuarine marsh but that were identified as having the potential to be marsh were given a score of 1, provided the pixels were not classified as developed. Potential estuarine tidal marsh pixels were derived from a combination of potential estuarine tidal marsh classes in the Landfire...
Categories: Data; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: AQUATIC ECOSYSTEMS, AQUATIC ECOSYSTEMS, BIOSPHERE, BIOSPHERE, BIOSPHERE, All tags...
Hurricane Sandy, which made landfall on October 29, 2012, near Brigantine, New Jersey, had a significant impact on coastal New Jersey, including the large areas of emergent wetlands at Edwin B. Forsythe National Wildlife Refuge (NWR) and the Barnegat Bay region. In response to Hurricane Sandy, U.S. Geological Survey (USGS) has undertaken several projects to assess the impacts of the storm and provide data and scientific analysis to support recovery and restoration efforts. As part of these efforts, the USGS Coastal and Marine Geology Program (CMGP) sponsored Coastal National Elevation Database (CoNED) Applications Project in collaboration with the USGS National Geospatial Program (NGP), and National Oceanic and...
thumbnail
Lidar-derived digital elevation models often contain a vertical bias due to vegetation. In areas with tidal influence the amount of bias can be ecologically significant, for example, by decreasing the expected inundation frequency. We generated a corrected digital elevation model (DEM) for wetlands throughout Collier county using a modification of the Lidar Elevation Adjustment with NDVI (LEAN) technique (Buffington et al. 2016). GPS survey data (15,223 points), NAIP-derived Normalized Difference Vegetation Index (2010), a 10 m lidar DEM from 2007, and a 10 m canopy surface model were used to generate a model of predicted bias across marsh, mangrove, and cypress habitats. The predicted bias was then subtracted from...
thumbnail
The research was conducted at nine tidal marshes in coastal estuaries spanning the Washington and Oregon coastlines from Padilla Bay in northern Washington to Bandon located at the mouth of the Coquille River in southern Oregon. We performed bathymetric surveys using a shallow-water echo-sounding system comprised of an acoustic profiler, Leica Viva RTK GPS, and laptop computer mounted on a shallow-draft, portable flat-bottom boat. The RTK GPS enabled high resolution elevations of the water surface. The rover positions were received from the Leica Smartnet system (www.lecia-geosystems.com) or base station and referenced to the same bench mark used in the elevation surveys. We mounted a variable frequency transducer...
thumbnail
Extent and approximate location of historic wetland habitats in Indiana, Iowa, and Wisconsin. Partial state coverage in Minnesota and South Dakota. NWI data last updated as of 1 May 2016. Data accessed 11 July 2016.
thumbnail
The Gulf Coastal Plains and Ozarks (GCPO) Landscape Conservation Cooperative (LCC) has conducted an ecological assessment of various landscape characteristics, or endpoints, outlined in the LCC Integrated Science Agenda. This data layer addresses the forested wetland amount desired landscape endpoint for the forested wetland ecosystem in the Mississippi Alluvial Valley subgeography of the GCPO LCC. This data was created by reclassification of the 2011 National Land Cover Dataset (NLCD) to pull out only the woody wetlands class (90) from the NLCD dataset.
Categories: Data; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Downloadable, Map Service; Tags: AQUATIC ECOSYSTEMS, AQUATIC ECOSYSTEMS, BIOSPHERE, BIOSPHERE, BIOSPHERE, All tags...
thumbnail
Lidar-derived digital elevation models often contain a vertical bias due to vegetation. In areas with tidal influence the amount of bias can be ecologically significant, for example, by decreasing the expected inundation frequency. We generated a corrected digital elevation model (DEM) for the area surrounding Blackwater National Wildlife Refuge in Chesapeake Bay using a modification of the Lidar Elevation Adjustment with NDVI (LEAN) technique (Buffington et al. 2016). GPS survey data (3699 points, collected across four tidal marsh sites in Chesapeake Bay (Eastern Neck, Martin, Bishops Head, and Blackwater) in 2010 and 2017. Normalized Difference Vegetation Index (NDVI) derived from an airborne multispectral image...
thumbnail
To assess the current topography of tidal marsh at the study sites we conducted survey-grade global positioning system (GPS) surveys between 2009 and 2014 using a Leica RX1200 Real Time Kinematic (RTK) rover (±1 cm horizontal, ±2 cm vertical accuracy; Leica Geosystems Inc., Norcross, GA; Figure 4). At sites with RTK GPS network coverage (Padilla, Port Susan, Nisqually, Siletz, Bull Island, and Bandon), rover positions were received in real time from the Leica Smartnet system via a CDMA modem (www.lecia-geosystems.com). At sites without network coverage (Skokomish, Grays Harbor, and Willapa), rover positions were received in real time from a Leica GS10 antenna base station via radio link. At sites where we used the...
thumbnail
This data set contains vector point information. The original data set was collected through visual field observation by Jennke Visser (University of Louisiana-Lafayette). The observations were made while flying over the study area in a helicopter. Flight was along north/south transects spaced 2000 meters apart from the Texas / Louisiana State line to Corpus Christie Bay. Vegetative data was obtained at pre-determined stations spaced at 1500 meters along each transect. The stations were located using a Global Positioning System (GPS) and a computer running ArcGIS. This information was recorded manually onto field tally sheets and later this information was entered into a Microsoft Excel database using Capturx software...
thumbnail
This data set contains vector point information. The original data set was collected through Texas A&M University-Kingsville a helicopter survey was flown October 2-3rd of 2011 by Dr. Jenneke Visser (University of Louisiana at Lafayette) and Michael Mitchell. Data from this survey was used to produce this point file. Each feature includes the vegetation type at the point as well as the class used when classifying. Each feature is labeled either reference or accuracy assessment based on what it was used for during analysis. Flight was along north/south transects spaced 2000 meters apart from the Corpus Christi Bay to the Sabine River. Vegetative data was obtained at pre-determined stations spaced at 1500 meters along...
thumbnail
The Gulf Coastal Plains and Ozarks (GCPO) Landscape Conservation Cooperative (LCC) has conducted an ecological assessment of various landscape characteristics, or endpoints, outlined in the LCC Integrated Science Agenda. This data layer addresses the forested wetland amount desired landscape endpoint for the forested wetland ecosystem in the Mississippi Alluvial Valley subgeography of the GCPO LCC. This data was created by reclassification of the 2011 National Land Cover Dataset (NLCD) to pull out only the woody wetlands class (90) from the NLCD dataset. We then overlaid the HUC12 watershed layer and calculated the total amount of forested wetland acreage within each watershed.
thumbnail
To assess the current topography of tidal marsh at the study sites we conducted survey-grade global positioning system (GPS) surveys between 2009 and 2014 using a Leica RX1200 Real Time Kinematic (RTK) rover (±1 cm horizontal, ±2 cm vertical accuracy; Leica Geosystems Inc., Norcross, GA; Figure 4). At sites with RTK GPS network coverage (Padilla, Port Susan, Nisqually, Siletz, Bull Island, and Bandon), rover positions were received in real time from the Leica Smartnet system via a CDMA modem (www.lecia-geosystems.com). At sites without network coverage (Skokomish, Grays Harbor, and Willapa), rover positions were received in real time from a Leica GS10 antenna base station via radio link. At sites where we used the...
thumbnail
Without reliable spatial data for wetland and riparian areas, it is impossible for land managers to accurately assess the distribution of critical aquatic habitats and model potential impacts caused by climate change. Wetlands in the Southern Rockies are particularly important for wildlife habitat, as they are often far more productive than the surrounding uplands. In addition, wetlands are an integral component of regional hydrologic cycles through their role in flood abatement, storm water retention, groundwater recharge, and water quality improvement.Colorados wetlands were mapped by the FWS early 1980 and in late 1990, and though the maps exist, they were created for print and most are not useful as digital...
thumbnail
Lidar-derived digital elevation models often contain a vertical bias due to vegetation. In areas with tidal influence the amount of bias can be ecologically significant, for example, by decreasing the expected inundation frequency. We generated a corrected digital elevation model (DEM) for the area surrounding the Eastern Neck National Wildlife Refuge in Chesapeake Bay using a modification of the Lidar Elevation Adjustment with NDVI (LEAN) technique (Buffington et al. 2016). GPS survey data (3699 points, collected across four tidal marsh sites in Chesapeake Bay (Eastern Neck, Martin, Bishops Head, and Blackwater) in 2010 and 2017. Normalized Difference Vegetation Index (NDVI) derived from an airborne multispectral...
thumbnail
Lidar-derived digital elevation models often contain a vertical bias due to vegetation. In areas with tidal influence the amount of bias can be ecologically significant, for example, by decreasing the expected inundation frequency. We generated a corrected digital elevation model (DEM) for area surrounding the Martin National Wildlife Refuge in Chesapeake Bay using a modification of the Lidar Elevation Adjustment with NDVI (LEAN) technique (Buffington et al. 2016). GPS survey data (3699 points, collected across four tidal marsh sites in Chesapeake Bay (Eastern Neck, Martin, Bishops Head, and Blackwater) in 2010 and 2017. Normalized Difference Vegetation Index (NDVI) derived from an airborne multispectral image (2013)...
    map background search result map search result map National Wetland Inventory Mapping for the Colorado Portion of the SRLCC NLCD Woody Wetland Acres for the MAV (by HUC 12) MAV NLCD_2011 Woody Wetlands coastal Texas marsh survey points - 2011 coastal Texas marsh survey points - 2012 Prioritization of Currently Suitable Brood Rearing Habitat for Mottled Ducks in the Western Gulf Coast NWI Emergent Wetlands (MRB) NWI Forested Wetlands (MRB) NWI Historic Wetlands Barcode Value for GCPO LCC Estuarine Tidal Marsh 2010: Delineation of Water Bodies in Emergent Wetlands in Coastal New Jersey Elevation Points for Eight Study Areas in Coastal Oregon and Washington, 2012 Bathymetry Digital Elevation Models for Eight Study Areas in Coastal Oregon and Washington, 2012 Digital Elevation Models for eight study areas in coastal Oregon and Washington, 2012 LEAN-corrected San Francisco Bay Digital Elevation Model, 2018 LEAN-Corrected DEM for Suisun Marsh Blackwater LEAN-Corrected Chesapeake Bay Digital Elevation Models, 2019 Eastern Neck LEAN-Corrected Chesapeake Bay Digital Elevation Models, 2019 Martin LEAN-Corrected Chesapeake Bay Digital Elevation Models, 2019 LEAN-Corrected Collier County DEM for wetlands Eastern Neck LEAN-Corrected Chesapeake Bay Digital Elevation Models, 2019 LEAN-Corrected DEM for Suisun Marsh Blackwater LEAN-Corrected Chesapeake Bay Digital Elevation Models, 2019 2010: Delineation of Water Bodies in Emergent Wetlands in Coastal New Jersey coastal Texas marsh survey points - 2011 LEAN-corrected San Francisco Bay Digital Elevation Model, 2018 LEAN-Corrected Collier County DEM for wetlands Elevation Points for Eight Study Areas in Coastal Oregon and Washington, 2012 Digital Elevation Models for eight study areas in coastal Oregon and Washington, 2012 coastal Texas marsh survey points - 2012 Bathymetry Digital Elevation Models for Eight Study Areas in Coastal Oregon and Washington, 2012 MAV NLCD_2011 Woody Wetlands NLCD Woody Wetland Acres for the MAV (by HUC 12) Prioritization of Currently Suitable Brood Rearing Habitat for Mottled Ducks in the Western Gulf Coast National Wetland Inventory Mapping for the Colorado Portion of the SRLCC NWI Historic Wetlands Barcode Value for GCPO LCC Estuarine Tidal Marsh NWI Forested Wetlands (MRB) NWI Emergent Wetlands (MRB)