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

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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...
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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...
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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.
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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: BIOSPHERE, BIOSPHERE, BIOSPHERE, BIOSPHERE, BIOSPHERE, All tags...
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Data set includes a mosaic of multiple Landsat 8 OLI sensor path/row combinations for May 14, 17, and 19, 2014 covering the South Atlantic Landscape Conservation Cooperative (SALCC) geography between extreme northeastern North Carolina (including Back Bay, VA-NC) south through Sapelo I., GA. The imagery was acquired as georeferenced, calibrated digital data. Water and upland masking used NIR thresholds, CCAP land cover, and LiDAR DEMs. The image composite includes three normalized difference indces useful for marsh classification and monitoring, including: 1) Normalized Difference Vegetation Index (NDVI), 2) Normalized Difference Water Index (NDSI), and 3) Normalied Difference Soil Index (NDSI). The NDX bands were...
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This data set contains features representing potentially restorable wetlands (PRW). Potentially restorable wetlands are defined as those areas that are not currently classified as wetland by the USFWS National Wetland Inventory, and have hydric soil characterisitcs that would support hydrophytic vegetation. Input data for generating this layer includes soils data in SSURGO format, and the current National Wetlands Inventory (NWI) wetlands data. The soils data was used to extract those areas that have a dominant drainage class attribute of poorly or very poorly drained. These soils are considered capable of supporting wetland vegetation. The PRW layer does not include existing wetlands. This data covers the entire...
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Coastal zone managers and researchers often require detailed information regarding emergent marsh vegetation types (that is, fresh, intermediate, brackish, and saline) for modeling habitat capacities and needs of marsh dependent taxa (such as waterfowl and alligator). Detailed information on the extent and distribution of emergent marsh vegetation types throughout the northern Gulf of Mexico coast has been historically unavailable. In response, the U.S. Geological Survey, in collaboration with the Gulf Coast Joint Venture, the University of Louisiana at Lafayette, Ducks Unlimited, Inc., and the Texas A&M University-Kingsville, produced a classification of emergent marsh vegetation types from Corpus Christi Bay,...
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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...
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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 Wyoming Potentially Restorable Wetlands National Wetland Inventory Mapping for the Colorado Portion of the SRLCC GCPO_NLCD_2011 Woody_Wetlands Marsh types from Corpus Christi Bay, Texas, to the Sabine River, Texas, in 2010 Condition Index Value for GCPO LCC Estuarine Tidal Marsh Normalized Difference Index (NDX) Mosaic Composite for Salt Marshes Elevation Points for Eight Study Areas in Coastal Oregon and Washington, 2012 Eastern Neck LEAN-Corrected Chesapeake Bay Digital Elevation Models, 2019 Martin LEAN-Corrected Chesapeake Bay Digital Elevation Models, 2019 Eastern Neck LEAN-Corrected Chesapeake Bay Digital Elevation Models, 2019 Elevation Points for Eight Study Areas in Coastal Oregon and Washington, 2012 Marsh types from Corpus Christi Bay, Texas, to the Sabine River, Texas, in 2010 Wyoming Potentially Restorable Wetlands Normalized Difference Index (NDX) Mosaic Composite for Salt Marshes National Wetland Inventory Mapping for the Colorado Portion of the SRLCC Condition Index Value for GCPO LCC Estuarine Tidal Marsh GCPO_NLCD_2011 Woody_Wetlands