基于灰色系统理论的植被物理参数与极化分解参数的关联分析——以鄱阳湖湿地为例

Correlation Analysis of Vegetation Physical Parameters and Polarization Decomposition Parameters based on Grey System Theory: A Case Study in Poyang Lake Wetland

结合灰色系统理论,基于3期(2013年、2015年和2016年)鄱阳湖湿地植被物理参数数据和Radarsat-2极化SAR影像数据,分别建立植被生物量、极化分解分量与鄱阳湖植被物理参数的关系模型,并分析不同植被物理参数对生物量积累的贡献和对极化分解分量的影响。结果表明:在植被生长旺盛初期阶段到旺盛稳定阶段,对植被生物量积累贡献较大的主要是植株参数和下垫面参数,对极化分解分量影响较大的主要是下垫面参数和茎秆参数,并根据各阶段较大关联度数据合理的分析和确定了野外采样参数。

based on the Grey System Theory,combing the three periods(2013,2015,and 2016)of the Radarsat-2 Polarimetric SAR(PolSAR)data and the vegetation physical parameters data collected from Poyang Lake wetland,we established the relationship model for the vegetation physical parameters with vegetation biomass and the polarization decomposition components,respectively.We analyzed the contribution of different vegetation physical parameters to biomass accumulation and their influence on polarization decomposition components.The results show that from the vegetation growing faster to slower stage,the plant parameters and underlying surface parameters are the main factors that contribute to the vegetation biomass accumulation.The main effective factors for the polarization decomposition components are the land surface parameters and the stem parameters.The parameters of field sampling are analyzed and determined based on the larger correlation degree data at each stage.