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United States Department of Agriculture

Agricultural Research Service

Research Project: Remote Sensing and Modeling to Study Ecohydrological Feedbacks
2008 Annual Report


1a.Objectives (from AD-416)
a) Assimilation of remote sensing information into hydrologic modeling; b) Interpretation of remote sensing products in the context of ecohydrologic feedbacks.


1b.Approach (from AD-416)
The experimental design is built on remote sensing, measurements and modeling to better understand the ecohydrologic impacts of climate change and woody plant encroachment. Experiments are planned for ARS watershed locations in Arizona, Oklahoma and Georgia. Documents SCA with U of AZ. Formerly 5342-12660-004-01S 58-5342-4-447.


3.Progress Report

In this study, ARS and Univ. of Arizona scientists demonstrated a way to use higher resolution SAR imagery in a soil moisture data assimilation framework with a minimum of aggregation. Image noise (termed speckle) was modeled as a probability distribution and a land surface model parameter estimation algorithm matched the observation/model residuals to the speckle distribution. Preliminary results showed that it is possible to calibrate land surface model parameters to noisy data as long as the noise distribution is well known and a sufficient number of measurements are available. NP 211 Problem Area #5 Watershed Management, Water Availability, and Ecosystem Restoration. The project was managed through close interaction and common field work with ARS scientists and UA students and professors.


Last Modified: 10/23/2014
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