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Monitoring of rice crop using ENVISAT ASAR data

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Abstract

Because of the cloudy conditions during the rice growth period, rice is one of the agricultural crops most suited to monitoring with the SAR instruments. Backscatter response measured by SAR is correlated with rice conditions, including height, density, biomass and structure, which are variable at different growing stages. In this paper, multi-date ENVISAT ASAR Alternating Polarization Mode (APMode) imageries were acquired during the rice crop growing cycle. At the same time, the rice parameters were measured in field. A continuous canopy model was used to compute the backscattering from rice fields during the growth cycle, and the relationship between rice parameters and radar backscattering coefficients from both ASAR and modeling was analyzed. The effects of polarization, incidence angle and polarization on radar backscattering coefficients were analyzed. It was found that simulated radar backscatter has similar trends as ASAR data. This will be meaningful for the further research of rice parameters estimation from ASAR data. Different features show significantly different signatures in ASAR images and they follow some certain laws, so rice area can be accurately mapped by using multi-temporal SAR images, then rice yield can be estimated.

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Authors and Affiliations

  1. State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing, 100101, China

    Dong Yanfang & Sun Guoqing

  2. Graduate University of Chinese Academy of Sciences, Beijing, 100039, China

    Dong Yanfang

  3. Department of Geography, University of Maryland, College Park, MD, 20742, USA

    Sun Guoqing

  4. Forest Remote Sensing Lab, Research Institute of Forest Resource and Information Technology, Chinese Academy of Forestry, Beijing, 100091, China

    Pang Yong

Authors
  1. Dong Yanfang
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  2. Sun Guoqing
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  3. Pang Yong
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Correspondence to Dong Yanfang.

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Dong, Y., Sun, G. & Pang, Y. Monitoring of rice crop using ENVISAT ASAR data. SCI CHINA SER D 49, 755–763 (2006). https://doi.org/10.1007/s11430-006-0755-0

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  • DOI: https://doi.org/10.1007/s11430-006-0755-0

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