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Proceedings Paper

Estimating soil moisture distribution using polarimetric airborne SAR
Author(s): Takeo Tadono; Muhtar Qong; Hiroyuki Wakabayashi; Masanobu Shimada; Jiancheng Shi
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Paper Abstract

The goal of this study is to develop an algorithm for estimating the surface soil moisture and surface roughness using polarimetric Synthetic Aperture Radar (SAR) data. In this study, an algorithm was applied to polarimetric airborne SAR data to estimate distributions of surface soil moisture and roughness. To validate the estimated soil moisture, we simultaneously conducted an experiment in October 1999 in Tsukuba Science City, Ibaragi Prefecture of Japan. Surface soil moisture was obtained by the Time- Domain Reflectometry (TDR) method, and the horizontal profiles of the land surface height were measured by a comb- style instrument for calculating the surface roughness parameters in test sites. Because the problem is site- specific and depends upon the measurement accuracy of both the ground truth data, the SAR system including speckle noise, and the effects of vegetation and artificial constructions, such as buildings, houses, roads, and roadside trees, the comparison results did not agree well with measured and inferred soil moisture.

Paper Details

Date Published: 21 December 2000
PDF: 8 pages
Proc. SPIE 4152, Microwave Remote Sensing of the Atmosphere and Environment II, (21 December 2000); doi: 10.1117/12.410613
Show Author Affiliations
Takeo Tadono, National Space Development Agency of Japan (Japan)
Muhtar Qong, National Space Development Agency of Japan (Japan)
Hiroyuki Wakabayashi, National Space Development Agency of Japan (Japan)
Masanobu Shimada, National Space Development Agency of Japan (Japan)
Jiancheng Shi, Univ. of California/Santa Barbara (United States)

Published in SPIE Proceedings Vol. 4152:
Microwave Remote Sensing of the Atmosphere and Environment II
Thomas T. Wilheit; Harunobu Masuko; Hiroyuki Wakabayashi, Editor(s)

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