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Stream Flow Prediction by Remote Sensing and Genetic ProgrammingA genetic programming (GP)-based, nonlinear modeling structure relates soil moisture with synthetic-aperture-radar (SAR) images to present representative soil moisture estimates at the watershed scale. Surface soil moisture measurement is difficult to obtain over a large area due to a variety of soil permeability values and soil textures. Point measurements can be used on a small-scale area, but it is impossible to acquire such information effectively in large-scale watersheds. This model exhibits the capacity to assimilate SAR images and relevant geoenvironmental parameters to measure soil moisture.
Document ID
20090041757
Acquisition Source
Stennis Space Center
Document Type
Other - NASA Tech Brief
Authors
Chang, Ni-Bin
(Texas Agricultural Experiment Station College State, TX, United States)
Date Acquired
August 24, 2013
Publication Date
December 1, 2009
Publication Information
Publication: NASA Tech Briefs, December 2009
Subject Category
Earth Resources And Remote Sensing
Report/Patent Number
SSC-00256
Distribution Limits
Public
Copyright
Public Use Permitted.
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