文献类型：会议论文

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

通信作者：Chen, EX[1]

机构：[1]Southwest Forestry Univ, Coll Forestry, Kunming 650224, Yunnan, Peoples R China;[2]Chinese Acad Forestry, Inst Forest Resource Informat Tech, Beijing 100091, Peoples R China

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

会议日期：JUL 28-AUG 02, 2019

会议地点：Yokohama, JAPAN

语种：英文

外文关键词：Winter Wheat; Biomass; Polarimetric water cloud model (PWCM)

年份：2019

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/m(2), the relative accuracy is 63.88.