北京市农林科学院机构知识库

BIOMASS ESTIMATION OF OILSEED RAPE USING SIMULATED COMPACT POLARIMTRIC SAR IMAGERY

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文献类型：外文期刊

作者： Yang, Hao ¹ ; Xie, Lei ² ; Chen, Erxue ³ ; Zhang, Hong ² ; Yang, Guijun ¹ ; Li, Zhenhong ⁴ ; Gu, Xiaohe ¹ ;

作者机构： 1.Beijing Acad Agr & Forestry Sci, Beijing Res Ctr Informat Technol Agr, Beijing, Peoples R China

2.Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Beijing 100864, Peoples R China

3.Chinese Acad Forestry, Inst Forest Resource Informat Tech, Beijing, Peoples R China

4.Newcastle Univ, Sch Civil Engn & Geosci, Newcastle Upon Tyne NE1 7RU, Tyne & Wear, England

关键词： hybrid polarimetric;SAR;canola;biomass

期刊名称：2016 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS)

ISSN： 2153-6996

年卷期： 2016 年

页码：

收录情况： SCI

摘要： Plant biomass is an important parameter for crop management and yield estimation. The potential of compact polarimetric (CP) synthetic aperture radar (SAR) data in estimating biomass of oilseed rape crop (Brassica napus L.) is investigated in this study. Five CP SAR imagery was simulated using five fully polarimetric Radarsat-2 data, and the dynamic evolution of polarimetric features, relying on different polarimetric decomposition methods (m-chi, m-delta, and Freeman-Durden), with the crop growth, was compared. It was found that the Dbl indicator, by the m-chi. decomposition method, can reflect well the dynamic growth of canola. Therefore, a method of monitoring fresh and dry biomass of canola was put forward. The result showed that the root mean square error (RMSE) was 56.5g/m2, 448.2g/m(2), and the relative error (RE) was 23.9%, 25.0% for fresh and dry biomass, respectively. In addition, the precision of the model will be affected when the crop becomes mature since its vegetation water content declines. The results were also compared with those of the fully polarization SAR. It revealed that the performance of CP SAR on rapeseed monitoring can achieve the level of fully polarization SAR, considering the advantages of CP SAR, such as wider coverage and less data volume etc. It revealed that the polarization information was necessary in quantitatively monitoring of broad leaf crops, such as rapeseed, and CP SAR has a great potential in crop monitoring.

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