文献类型：期刊文献

英文题名：Estimation of biomass in winter wheat (triticum aestivum l.) using polarimetric water-cloud model

作者：Zhang, Wangfei[1] Chen, Erxue[2] Li, Zengyuan[2] Zhao, Lei[2] Gao, Zhihai[2]

第一作者：Zhang, Wangfei

机构：[1] College of Forestry, Southwest Forestry University, Kunming, 650224, China; [2] Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing, 100091, China

年份：2019

卷号：2019-July

起止页码：7196-7199

外文期刊名：International Geoscience and Remote Sensing Symposium (IGARSS)

收录：EI(收录号：20213610851475)

语种：英文

外文关键词：Cloud computing - Crops - Surface scattering - Polarimeters

摘要：WCM (water cloud model) developed in 1978 was proved useful for vegetation parameters estimation. However, its no sense of polarization dependence limited its application with quad-polarimetric data. In this study, we developed polarimetric water cloud model (PWCM) and applied to quad-polarimetric GF-3 data for winter wheat biomass estimation. (HH-VV)/HV、（HH+VV）/HV、HH/VV and VOL (volume scattering from Freeman Durden decomposition)/(ODD (odd scattering or surface scattering)+DBL (double bounce scattering)) were used as surface volume ratio parameters and provided in the developed PWCM. The results showed the effectiveness of developed PWCM for crop biomass inversion. Among all the parameters, (HH-VV)/HV showed best performance for winter wheat biomass inversion. The RMSE is 157.58 g/m2, the relative accuracy is 63.88. ?2019 IEEE