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Development and Testing of Land Atmosphere Water Simulator (LAWS) to for Reservoir and Water Conservation Management via Remote Sensing, GIS, and Atmospheric, Hydrologic and Vegetation Physical Process Models for Planning and Operational Decision-Making

Project ID: 1246
Principal Investigator: Michael Tansey
Research Topic: Water Supply Forecasting
Funded Fiscal Years: 2004
Keywords: None

Research Question

This research project agreement contains intellectual property and therefore this information cannot be displayed here. Intellectual property is information that could be used to create something patentable or licensable if the information is viewed by someone other than the researchers involved with this project. If you wish to obtain more information about this project you must contact the Principal Investigator.

Need and Benefit

This research project agreement contains intellectual property and therefore this information cannot be displayed here. Intellectual property is information that could be used to create something patentable or licensable if the information is viewed by someone other than the researchers involved with this project. If you wish to obtain more information about this project you must contact the Principal Investigator.

Contributing Partners

None

Research Products

Bureau of Reclamation Review

The following documents were reviewed by experts in fields relating to this project's study and findings. The results were determined to be achieved using valid means.

Land Atmosphere Water Simulator ( LAWS ) V1 (final, PDF, 3.9MB)
By Michael Tansey and Michal Koller
Report completed on February 04, 2005

The Land Atmosphere Water Simulator (LAWS) V1 is an integrated, flexible, and scalable model for efficiently comparing alternative water management strategies using either historical or forecasted water supply and demand conditions. A prototype was developed to simulate daily irrigated agricultural water management based on crop types, reference evapotranspiration and soil moisture conditions. Historic LANDSAT imagery was analyzed to evaluate whether crop types could be successfully identified.
Keywords: irrigation water management, remote sensing, crop types

This information was last updated on October 24, 2014
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