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This dataset contains measures of seasonal mean bird stopover densities and in seasonal mean bird density based on weather surveillance radar data from 20 radar locations in the Northeast U.S. across seven autumn migrations (15 August through 7 November of 2008-2014) [six autumn migrations for the terminal doppler weather radar (15 August through 7 November of 2009-2014)]. Data are present only in radar-sampled areas for each individual radar (see below for description on how these data are filtered). If you are interested in a continuous map of bird stopover densities for the entire region (and outside of these radar coverage areas), refer to layer “Predicted autumn migratory landbird density, 1km, Northeast U.S.”.The...
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Salt marshes classification of the South Atlantic Landscape Conservation Cooperative geography covers the northern Outer Banks (and extreme southeastern Virginia, Back Bay area) south through NC, SC, and Georgia to approximately Sapelo Island. The marsh classification is derived from Landsat 8 OLI imagery acquired in May 14-19, 2014. This georeferenced imagery was atmospherically corrected, mosaicked, and water masked prior to deriving a set of three Normalize Difference Indices (NDX) bands: Normalized Difference Vegetation Index (NDVI), Normalized Difference Water Index (NDWI) and Normalized Difference Soil Index (NDSI). Prospective salt marshes and associated tidal non-forested wetlands were classified using object-oriented...
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This dataset represents the observed and predicted relative bird density during autumn migratory stopover within the Northeast and Mid-Atlantic U.S. as measured by NEXRAD weather surveillance radar during the periods of peak landbird migration (15 August to 7 November) during 2008 through 2014. The dataset also includes measures of land cover characteristics, vegetative productivity, and geographic context used in the models to predict bird stopover use. Observed data are present only in radar-sampled areas (see below for description on how these data are filtered) while predicted data are modeled across the entire Northeast U.S. The dataset was originally developed as supplemental information for the cooperative...
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Salt marshes classification of the South Atlantic Landscape Conservation Cooperative geography covers the northern Outer Banks (and extreme southeastern Virginia, Back Bay area) south through NC, SC, and Georgia to approximately Sapelo Island. The marsh classification is derived from Landsat 8 OLI imagery acquired in May 14-19, 2014. This georeferenced imagery was atmospherically corrected, mosaicked, and water masked prior to deriving a set of three Normalize Difference Indices (NDX) bands: Normalized Difference Vegetation Index (NDVI), Normalized Difference Water Index (NDWI) and Normalized Difference Soil Index (NDSI). Prospective salt marshes and associated tidal non-forested wetlands were classified using object-oriented...
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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...


    map background search result map search result map Marsh Classification: Raster Dataset Marsh Classification: Vector Polygons Normalized Difference Index (NDX) Mosaic Composite for Salt Marshes Predicted autumn migratory landbird density, 1km, Northeast U.S. Autumn migratory landbird stopover density radars, Northeast U.S. Normalized Difference Index (NDX) Mosaic Composite for Salt Marshes Marsh Classification: Vector Polygons Marsh Classification: Raster Dataset Predicted autumn migratory landbird density, 1km, Northeast U.S. Autumn migratory landbird stopover density radars, Northeast U.S.