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

doi:10.11873/j.issn.1004-0323.2019.4.0839

遥感技术与应用

2019, Vol. 34

Issue (4): 839-846 DOI: 10.11873/j.issn.1004-0323.2019.4.0839

遥感应用

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

李春江^1,²(

),沈国状²(

),张继超¹

1. 辽宁工程技术大学测绘与地理科学学院，辽宁阜新 123000
2. 中国科学院遥感与数字地球研究所数字地球重点实验室，北京 100094

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

Chunjiang Li^1,²(

),Guozhuang Shen²(

),Jichao Zhang¹

1. School of Geomatics, Liaoning Technology University, Fuxin 123000, China
2. Key Laboratory of Digital Earth, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China

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摘要：

结合灰色系统理论，基于3期（2013、2015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地分析和确定了野外采样参数。

关键词： 灰色关联; 极化SAR; 极化分解; 鄱阳湖; 湿地植被; 物理参数; 生物量

Abstract:

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.

Key words: Grey correlation Polarimetric SAR Polarization decomposition Poyang lake Wetland vegetation Physical parameters Biomass

收稿日期: 2018-05-08 出版日期: 2019-10-16

ZTFLH:

TP79

基金资助: 国家自然科学基金青年项目(41401483);国家自然科学基金重大项目(41590852)

通讯作者: 沈国状 E-mail: 2215190526@qq.com;shengz@radi.ac.cn

作者简介: 李春江（1994-），男，内蒙古赤峰人，硕士研究生，主要从事微波遥感反演研究。E-mail:2215190526@qq.com。

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引用本文:

李春江,沈国状,张继超. 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[J]. 遥感技术与应用, 2019, 34(4): 839-846.

Chunjiang Li,Guozhuang Shen,Jichao Zhang. Correlation Analysis of Vegetation Physical Parameters and Polari-zation Decomposition Parameters based on Grey System Theory:A Case Study in Poyang Lake Wetland. Remote Sensing Technology and Application, 2019, 34(4): 839-846.

链接本文:

http://www.rsta.ac.cn/CN/10.11873/j.issn.1004-0323.2019.4.0839 或 http://www.rsta.ac.cn/CN/Y2019/V34/I4/839

图1 研究区极化分解及采样点位图

图2 极化分解分量能量值散点图

表1 极化分解分量能量值均值

图3 极化后向散射系数散点图

表2 极化后向散射系数均值

表3 物理参数与生物量关联度顺序（降序）

表4 物理参数与极化分解分量关联度矩阵

表5 与极化分解分量最大关联参数 polarization decomposition components

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