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United States Department of Agriculture

Agricultural Research Service

Title: Soil Moisture Algorithm for the Southern Great Plains Using Alos Palsar Data

Authors
item Jackson, Thomas
item Shi, Jiancheng - UNIVERSITY OF CALIFORNIA
item Sun, Guoqing - UNIVERSITY OF MARYLAND
item Simon, Yeuh - JET PROPULSION LABORATORY

Submitted to: Proceedings of the Advanced Land Observing System Symposium
Publication Type: Proceedings
Publication Acceptance Date: February 5, 2001
Publication Date: March 1, 2001

Technical Abstract: ALOS PALSAR data, primarily the polarimetric mode, will be used to develop and validate a soil moisture algorithm for conditions typical of the Southern Great Plains of the U.S. Radarsat, ERS, JERS, SIR-C, AIRSAR, and aircraft scatterometer data are available to develop and evaluate concepts. Simulations with the IEM will also be used for model development. A time series of Envisat ASAR polarimetric observations will be collected prior t and during the ALOS PALSAR investigation. The PALSAR data will be supported by ground truth observations of soil moisture and related parameters. In addition, data collection will be coordinated with other intensive experiments that will include scatterometer observations and provide a broader set of conditions for validation.

Last Modified: 7/30/2014
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