Capability of multi-temporal Radarsat-2 data in monitoring canola crop and its plant height
文献类型： 外文期刊
作者： Yang, Hao 1 ; Chen, Erxue 1 ; Li, Zengyuan 1 ; Yang, Guijun 2 ; Xu, Xingang 2 ; Yuan, Lin 2 ; Feng, Qi 1 ; Zhao, Lei 1 ;
作者机构： 1.Chinese Acad Forestry, Inst Forest Resource Informat Tech, Beijing 100091, Peoples R China
2.Beijing Acad Agr & Forestry Sci, Res Ctr Informat Technol Agr, Beijing 100097, Peoples R China
关键词： synthetic aperture radar;crop growth monitoring;height estimation;polarimetric feature
期刊名称：THIRD INTERNATIONAL CONFERENCE ON AGRO-GEOINFORMATICS (AGRO-GEOINFORMATICS 2014)
ISSN： 2334-3168
年卷期： 2014 年
页码：
收录情况： SCI
摘要： The potential capability of C-Band fully polarimetric synthetic aperture radar data for monitoring canola height was investigated in this study. Polarimetric parameters of canola fields were extracted with polarimetric decompositions method from multi-temporal Radarsat-2 images. Temporal behavior of polarimetric features with different varieties and sowing dates was presented from its sowing to its harvest. It was found that the evolution curve of Entropy and Alpha-angle parameters is highly consistent with the evolution trend of canola height over time. A second order polynomial model was applied to inverse the canola height over a farmland area of China, during the 2013 growing season. Even if the proposed method is simple, the result was encouraging with a high level of agreement (R-2=0.96, RMSE=13.1cm, RE=14.3%). Therefore, it revealed a strong capability of polarimetric synthetic aperture radar data in characterizing canola plant height, especially in vegetative growth stage.
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