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This dataset represents the extent of urbanization (for the year indicated) predicted by the model SLEUTH, developed by Dr. Keith C. Clarke, at the University of California, Santa Barbara, Department of Geography and modified by David I. Donato of the United States Geological Survey (USGS) Eastern Geographic Science Center (EGSC). Further model modification and implementation was performed at the Biodiversity and Spatial Information Center at North Carolina State University. Purpose: Urban growth probability extents throughout the 21st century for the Southeast Regional Assessment Project, which encompasses the states of Alabama, Florida, Georgia, Kentucky, Mississippi, North Carolina, South Carolina, Tennessee...
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High-resolution river centerlines vector shapefiles has 50 large rivers across the world. This high-resolution layer was generated will enable researchers to identify accurate river length, from headwaters to delta. The polylines could be used in coordination with any satellite-derived environmental or landscape variables for ecological research.
We established a Landsat-derived geospatial database of unburned islands within 2,298 fires across the Inland Northwestern US (including eastern Washington, eastern Oregon, and Idaho) from 1984-2014. The detection of unburned areas within these fires is based upon a classification tree approach that uses two pre- and post-fire Landsat image pairs (see Meddens et al 2016 for details). The data set consist of unburned patches within each fire that are two pixels or larger. This database will be useful for identifying fire refugia, seed sources, and can be used as an overall metric of fire impacts across the northwestern US. (Meddens, A.J., Kolden, C.A., & Lutz, J.A. (2016). Detecting unburned areas within wildfire...
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This data release includes data-processing scripts, data products, and associated metadata for a remote-sensing based approach to characterize vegetation conditions within a dry, mixed conifer forest study area in southern Oregon in 2001 (a single year drought without any widespread insect mortality) and 2009 (during a multi-year drought that coincided with a severe outbreak of mountain pine beetle; MPB). This analysis involved several steps. First, time-series climate data were compiled and plotted to identify drought periods. Similarly, time-series data representing insect outbreaks were compiled and plotted to identify trends in insect mortality. The study area was classified into forest canopy types using existing...
The threshold raster includes the raw streamflow permanence probability value at a given pixel that represents the estimated critical value to differentiate between wet conditions (above the threshold) and dry conditions (below the threshold). Confidence interval rasters indicate the value above or below the threshold corresponding to the nth percentile of confidence that the pixel is wet (above) or dry (below). Raw streamflow permanence probabilities were produced by the PRObability of Streamflow PERmanence (PROSPER) model, a GIS raster-based empirical model of probabilistic predictions of a stream channel having year-round flow for any unregulated and minimally-impaired stream channel in the Pacific Northwest...
    map background search result map search result map Data set for Developing Long-term Urbanization Scenarios for the Caribbean LCC as Part of the Southeast Regional Assessment Project Analysis of remotely-sensed vegetation conditions during droughts and a mountain pine beetle outbreak, Gearhart Mountain Wilderness, Oregon Unburned areas within fire perimeters across the Inland Northwestern USA from 1984 to 2014 Global High-Resolution River Centerlines Esri Service Definition file containing all SPC rasters (PROSPER) Esri Service Definition file containing all SPP rasters (PROSPER) Streamflow Permanence Probability rasters, 2004-2011, Version 2.0 (PROSPER) Streamflow Permanence Probability rasters, 2012-2016, Version 2.0 (PROSPER) Analysis of remotely-sensed vegetation conditions during droughts and a mountain pine beetle outbreak, Gearhart Mountain Wilderness, Oregon Unburned areas within fire perimeters across the Inland Northwestern USA from 1984 to 2014 Esri Service Definition file containing all SPC rasters (PROSPER) Esri Service Definition file containing all SPP rasters (PROSPER) Streamflow Permanence Probability rasters, 2004-2011, Version 2.0 (PROSPER) Streamflow Permanence Probability rasters, 2012-2016, Version 2.0 (PROSPER) Data set for Developing Long-term Urbanization Scenarios for the Caribbean LCC as Part of the Southeast Regional Assessment Project Global High-Resolution River Centerlines