文献类型：会议论文

英文题名：BIOMASS ESTIMATION OF OILSEED RAPE USING SIMULATED COMPACT POLARIMTRIC SAR IMAGERY

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

第一作者：Yang, Hao

通信作者：Chen, EX[1]

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

会议论文集：36th IEEE International Geoscience and Remote Sensing Symposium (IGARSS)

会议日期：JUL 10-15, 2016

会议地点：Beijing, PEOPLES R CHINA

语种：英文

外文关键词：hybrid polarimetric; SAR; canola; biomass

年份：2016

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.