Soil moisture detection using RADASAT corner reflector enhanced satellite imagery in a semi-arid watershed with complex terrain

被引：1

作者：

Drunpob, A ^{[1
]}

Chang, NB ^{[1
]}

Beaman, M ^{[1
]}

Wyatt, C ^{[1
]}

Slater, C ^{[1
]}

机构：

[1] Texas A&M Univ, Dept Civil & Environm Engn, Kingsville, TX 78363 USA

来源：

CHEMICAL AND BIOLOGICAL STANDOFF DETECTION II | 2004年 / 5584卷

关键词：

soil moisture; satellite imagery; SAR; corner reflector; radiometric calibration; geometric calibration; semi-arid watershed; complex terrain;

D O I：

10.1117/12.578433

中图分类号：

O65 [分析化学];

学科分类号：

070302 ; 081704 ;

摘要：

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, sigma(0), 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.

引用

页码：267 / 275

页数：9

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