14 December 2004 Soil moisture detection using RADASAT corner-reflector-enhanced satellite imagery in a semi-arid watershed with complex terrain
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Proceedings Volume 5584, Chemical and Biological Standoff Detection II; (2004) https://doi.org/10.1117/12.578433
Event: Optics East, 2004, Philadelphia, Pennsylvania, United States
Abstract
Measuring soil moisture turns out to be crucial in watershed management. This study presents soil moisture prediction using RADRASAT-1 Synthetic Aperture Radar (SAR) satellite imagery collected in the Choke Canyon Reservoir Watershed (CCRW) in April 2004. Essential radiometric and geometric calibrations to correct the SAR imagery were performed with the aid of Corner Reflectors (CRs). The sensor data obtained after the installation of the corner reflectors in April 2004 showed better spatial accuracy, and consequently improves the correlation between the radar backscatter signals, s0, and the Volumetric Moisture Content (VMC) of the soil in CCRW. Three prediction models were developed for soil moisture projection, which include simple linear regression, multiple linear regression, and genetic programming models. It found that the genetic programming model exhibits overall advantage of soil moisture estimation.
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Ammarin Drunpob, Ammarin Drunpob, Ni-Bin Chang, Ni-Bin Chang, Mark Beaman, Mark Beaman, Chris Wyatt, Chris Wyatt, Charles Slater, Charles Slater, } "Soil moisture detection using RADASAT corner-reflector-enhanced satellite imagery in a semi-arid watershed with complex terrain", Proc. SPIE 5584, Chemical and Biological Standoff Detection II, (14 December 2004); doi: 10.1117/12.578433; https://doi.org/10.1117/12.578433
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