摘要
Because of the cloudy conditions during the rice growth period, rice is one of the agri-cultural 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 back-scattering 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 polari-zation, 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 signifi-cantly 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.
Because of the cloudy conditions during the rice growth period, rice is oneof the agricultural crops most suited to monitoring with the SAR instruments. Backscatter responsemeasured by SAR is correlated with rice conditions, including height, density, biomass andstructure, which are variable at different growing stages. In this paper, multi-date ENVISAT ASARAlternating 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 tocompute the back-scattering from rice fields during the growth cycle, and the relationship betweenrice parameters and radar backscattering coefficients from both ASAR and modeling was analyzed. Theeffects of polarization, incidence angle and polarization on radar backscattering coefficients wereanalyzed. It was found that simulated radar backscatter has similar trends as ASAR data. This willbe meaningful for the further research of rice parameters estimation from ASAR data. Differentfeatures 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 beestimated.
作者
DONG Yanfang1, 2, SUN Guoqing1,3 & PANG Yong4 1. State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing 100101, China
2. Graduate University of Chinese Academy of Sciences, Beijing 100039, China
3. Department of Geography, University of Maryland, College Park, MD 20742, USA
4. Forest Remote Sensing Lab, Research Institute of Forest Resource and Information Technology, Chinese Academy of For-estry, Beijing 100091, China
基金
This work was supported by the National Natural Science Foundation of China(Grant No.40171070)
the Knowledge Innovation Project of the Chinese Academy of Sciences(Grant No.CX010014).We would like to thank European Space Agency for providing ENVISAT ASAR data,and the Chinese Academy of Sciences and the Chinese Academy of Forestry for field data collection and data analysis.
