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Proceedings Paper

Synergy of optical and radar remote sensing in agricultural applications
Author(s): Jiaguo Qi; Cuizhen Wang; Yoshio Inoue; Renduo Zhang; Wei Gao
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Paper Abstract

Ability to estimate crop information from remotely sensed imagery is fundamental in precision agriculture. Traditional approach using optical remote sensing is often limited by cloud-free quality imagery while microwave radar has not been fully explored to infer crop conditions. There is a need to develop an alternative to infer crop information that overcomes these limitations. In this study, an optical/radar synergy was developed and used to examine its potential for extracting soil and plant information. The synergy uses a microwave scattering model developed by Karam and his colleagues but modified to (1) take into account underneath soil backscattering properties and (2) use optical remote sensing as direct input variables to the model. The synergistic method was applied to two data sets from Maricopa Agricultural Center, Maricopa, Arizona, and the experimental fields of the National Institute for Agro-Environmental Sciences, Tsukuba, Japan. The data sets included images from Landsat and ERS satellites as well as some ground based soil and plant measurements. The preliminary results indicate that radar imagery can be effectively integrated with optical imagery for extracting both soil and plant information. There exist potentials to use such synergy for site-specific agricultural management practices.

Paper Details

Date Published: 22 December 2003
PDF: 6 pages
Proc. SPIE 5153, Ecosystems' Dynamics, Agricultural Remote Sensing and Modeling, and Site-Specific Agriculture, (22 December 2003); doi: 10.1117/12.514562
Show Author Affiliations
Jiaguo Qi, Michigan State Univ. (United States)
International Ctr. for Desert Affairs (China)
Cuizhen Wang, Michigan State Univ. (United States)
Yoshio Inoue, National Institute for Agro-Environmental Sciences (Japan)
Renduo Zhang, Univ. of Wyoming (United States)
Wei Gao, Colorado State Univ. (United States)
International Ctr. for Desert Affairs (China)


Published in SPIE Proceedings Vol. 5153:
Ecosystems' Dynamics, Agricultural Remote Sensing and Modeling, and Site-Specific Agriculture
Wei Gao; David R. Shaw, Editor(s)

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