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  5. Identifying Resilient Headwater Streams to Mitigate Impacts of Future Drought in the Northwest
  6. Approved DataSets
  7. Probability of Streamflow Permanence (PROSPER) Continuous Parameter Grids (CPGs)
  8. Physical CPGs -- Probability of Streamflow Permanence (PROSPER) Continuous Parameter Grids (CPGs)
  9. Irrigated Land, 2002-2012, Region 17, Continuous Parameter Grid (CPG)

Irrigated Land, 2002-2012, Region 17, Continuous Parameter Grid (CPG)

Dates

Publication Date

Citation

Sando, R., Olsen, T.D., Kaiser, K.E., Haluska, T.L., and Hockman-Wert, D.P., 2018, Physical CPGs -- Probability of Streamflow Permanence (PROSPER) Continuous Parameter Grids (CPGs): U.S. Geological Survey data release, https://doi.org/10.5066/F7057F5M.

Summary

These datasets are continuous parameter grids (CPG) of irrigated agriculture data (percent of basin classified as irrigated) for the years 2002, 2007, and 2012 in the Pacific Northwest. Source data was the Moderate Resolution Imaging Spectroradiometer (MODIS) Irrigated Agriculture Dataset for the United States (MIrAD-US), produced by USGS.

Contacts

Originator :
Roy Sando, Theresa D Olsen, Kendra E Kaiser, Tana L Haluska, David Hockman-Wert
Point of Contact :
FRESC Science Data Coordinator
Metadata Contact :
FRESC Science Data Coordinator
SDCData Owner :
Forest and Rangeland Ecosystem Science Center
Distributor :
U.S. Geological Survey - ScienceBase

Attached Files

Click on title to download individual files attached to this item.

IrrigatedLand_CPG_17all.xml
Original FGDC Metadata
View 		17.02 KB application/fgdc+xml
MirAd_2002_100_P_CPG_all.tif 77 MB image/geotiff
MirAd_2007_100_P_CPG_all.tif 76.49 MB image/geotiff
MirAd_2012_100_P_CPG_all.tif 76.46 MB image/geotiff

Purpose

These Continuous Parameter Grid (CPG) rasters were generated as inputs to the PROSPER model, predicting the probability of streamflow permanence throughout the Pacific Northwest. Each model predictor variable (parameter grid) was converted from its original spatial form into a CPG, which combines the discrete values with a flow accumulation raster, thereby converting the predictor values into a spatially moving average format.

Communities

  • National and Regional Climate Adaptation Science Centers
  • Northwest CASC

Associated Items

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Categories
Drought, Fire and Extreme Weather
Organization
Science Themes
Water, Coasts and Ice
Science Tools For Managers
NCCWSC Science Themes
Science Tools for Managers

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