Filters: Tags: {"type":"NCCWSC Science Themes","scheme":"https://www.sciencebase.gov/vocab/category/NCCWSC/ScienceThemes"} (X) > Categories: Data (X) > Types: Map Service (X)
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Streamflow permanence probability rasters, 2004-2011. Version 2.0. Predicted probability of streamflow permanence, values between dry (0) and wet (1).
Streamflow permanence class rasters, 2004-2016. Version 2.0. Predicted wet or dry by level of statistical confidence. -5 is highly likely dry; +5 is highly likely wet.
Streamflow permanence probability rasters, 2012-2016. Version 2.0. Predicted probability of streamflow permanence, values between dry (0) and wet (1).
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...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Climatology,
Drought,
Drought, Fire and Extreme Weather,
Drought, Fire and Extreme Weather,
Land Use Change,
Streamflow permanence probability rasters, 2004-2016. Version 2.0. Predicted probability of streamflow permanence, values between dry (0) and wet (1).
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...
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Data Visualization & Tools,
Data Visualization & Tools,
Drought,
Drought, Fire and Extreme Weather,
Drought, Fire and Extreme Weather,
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