植被生态遥感参数定量反演研究方法进展  

Progress in quantitative inversion of vegetation ecological remote sensing parameters

作　　者：赵燕红 侯鹏 蒋金豹[1] 姜赟 张兵 白君君 徐海涛 ZHAO Yanhong;HOU Peng;JIANG Jinbao;JIANG Yun;ZHANG Bing;BAI Junjun;XU Haitao(School of Earth Science and Mapping Engineering,China University of Mining and Technology(Beijing),Beijing 100083,China;Satellite Environment Application Center,Ministry of Ecology and Environment,Beijing 100094,China;State Key Laboratory of Resources and Environmental Information System,Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences,Beijing 100101,China;College of Resource Environment and Tourism,Capital Normal University,Beijing 100048,China;Chinese Research Academy of Environmental Sciences,Beijing 100012,China)

机构地区：[1]中国矿业大学(北京)地球科学与测绘工程学院,北京100083 [2]生态环境部卫星环境应用中心,北京100094 [3]中国科学院地理科学与资源研究所资源与环境信息系统国家重点实验室,北京100094 [4]首都师范大学资源环境与旅游学院,北京100048 [5]中国环境科学研究院,北京100012

出　　处：《遥感学报》2021年第11期2173-2197,共25页NATIONAL REMOTE SENSING BULLETIN

基　　金：国家重点研发计划(编号:2016YFC0500206,2017YFC0506506)。

摘　　要：植被参数是生态遥感定量反演的热点和难点,也是生态系统研究的基础性参数。本文在广泛阅读国内外公开发表的文献资料基础上,将现有的植被生态遥感参数概括为物理类、生化组分类、能量和功能类3大类,系统梳理了每类参数定量反演的主要模型方法,进行优缺点和适用性分析,对现阶段存在的不足和未来发展趋势进行了探讨。物理类植被生态遥感参数主要介绍了植被覆盖度、生物量、叶面积指数、树高等研究进展,生化组分类植被生态遥感参数主要介绍了植被含水量、叶绿素含量和光合能力等研究进展,能量类植被生态遥感参数介绍了光合有效辐射、植被吸收光合有效辐射等研究进展,功能类植被生态遥感参数主要介绍了植被生产力和碳交换量等研究进展。存在的主要问题包括混合像元分解、病态反演、物理模型应用过程中的误差传递、数据融合的尺度效应和空间变异性、模型耦合的最优方案确定问题。Vegetation parameters are the hotspots and difficulties in the quantitative inversion of ecological remote sensing,and they are also the basic parameters of ecosystem research,as well as the basic parameters of ecosystem research.They have an important impact on the structure,process and function of ecosystems,and have always been hot issues in ecology and remote sensing technology research.However,in actual work,the relevant parameters of vegetation are not obtained through direct interpretation of remote sensing data,but based on the spectral characteristics of vegetation to establish a data model for quantitative inversion calculation,and there are obvious differences in the retrieval results of different inversion methods.Based on extensive reading of publicly published documents at home and abroad,this paper summarizes the existing vegetation ecological remote sensing parameters into three categories:physical,biochemical,energy and functional categories,and systematically sorts out the main quantitative inversion methods of each category of parameters’advantages and disadvantages and applicability,and the current deficiencies and future development trends are discussed.And this article selects representative common vegetation parameters to introduce one by one,the physical vegetation ecological remote sensing parameters mainly introduce the research progress of vegetation coverage,biomass,leaf area index,tree height,etc.The biochemical group vegetation ecological remote sensing parameters mainly introduce the research progress of vegetation water content,chlorophyll content and photosynthetic capacity.Energy Vegetation ecological remote sensing parameters introduce the research progress of vegetation with Photosynthetically Active Radiation and Absorption of Photosynthetically Active Radiation,and functional vegetation ecological remote sensing parameters mainly introduce the research progress of vegetation productivity and carbon exchange capacity.Although positive progress has been made in the research o

关 键 词：陆表植被 生态遥感 反演方法 植被参数 模型方法 

分 类 号：Q948[生物学—植物学] TP79[自动化与计算机技术—检测技术与自动化装置]