山地叶面积指数反演理论、方法与研究进展  

Review on the theory,method,and research progress of leaf area index estimation in mountainous areas

作　　者：江海英 贾坤 赵祥[1,2] 魏香琴 王冰[1,2] 姚云军 张晓通 江波[1,2] JIANG Haiying;JIA Kun;ZHAO Xiang;WEI Xiangqin;WANG Bing;YAO Yunjun;ZHANG Xiaotong;JIANG Bo(State Key Laboratory of Remote Sensing Science,Faculty of Geographical Science,Beijing Normal University,Beijing 100875,China;Beijing Engineering Research Center for Global Land Remote Sensing Products,Beijing Normal University,Beijing 100875,China;Aerospace Information Research Institute,Chinese Academy of Sciences,Beijing 100101,China)

机构地区：[1]北京师范大学地理科学学部遥感科学国家重点实验室,北京100875 [2]北京师范大学北京市陆表遥感数据产品工程技术研究中心,北京100875 [3]中国科学院空天信息创新研究院,北京100101

出　　处：《遥感学报》2020年第12期1433-1449,共17页NATIONAL REMOTE SENSING BULLETIN

基　　金：国家自然科学基金(编号:41671332);国家重点研发计划(编号:2016YFB0501404,2016YFA0600103)。

摘　　要：叶面积指数LAI(Leaf Area Index)是表征叶片疏密程度和冠层结构特征的重要植被参数,在气候变化、作物生长模型以及碳、水循环研究中发挥着重要作用。遥感是获取区域及全球尺度LAI的一个重要手段,当前LAI产品主要基于遥感数据反演得到,但是多数LAI产品算法并未考虑地形特征的影响,导致山地LAI遥感反演精度不确定性大。提高山地LAI遥感反演精度亟需考虑地形因子对冠层反射率的影响,其中山地冠层反射率模型和遥感数据地形校正是提升山地LAI遥感反演精度的关键。本文围绕山地LAI遥感反演理论与方法,综合分析了国内外山地冠层反射率模型和地形校正模型的研究进展,总结了目前山地LAI遥感反演存在的问题,并讨论了未来研究的发展趋势。Leaf Area Index (LAI) is an important vegetation parameter that represents leaf density and canopy structure characteristics. This parameter plays an important role in climate change, crop growth model, and carbon and water cycle studies. Remote sensing is an important means to estimate LAI on regional and global scales. LAI products are currently mainly obtained by remote sensing retrieval. However, most LAI product algorithms ignore the effect of topographic features, which results in the great uncertainty in the accuracy of retrieved LAI in mountainous areas. The influence of topographic factors on the canopy reflectance needs to be considered to improve the accuracy of mountain LAI retrieval. Generally, there are mainly two methods to eliminate the influence of topography on mountain LAI retrieval. One method is to use the mountain canopy reflectance model to simulate reflectance, and the other method is to perform topographic correction on remote sensing data.In this paper, the research progress of mountain canopy reflectance model and topographic correction method were comprehensively analyzed on the basis of the theories and methods of LAI retrieval in mountainous areas. For mountain LAI retrieval method based on mountain canopy reflectance simulation, some mountain canopy reflectance models simplify the influence of topographic factors on atmospheric scattering and adjacent terrain scattering, resulting in poor model simulation and low LAI retrieval accuracy. Some complex mountain canopy reflectance models, such as geometric-optical hybrid model or computer simulation model, can accurately simulate topographic effect on reflectance, but it is difficult to invert due to complex input parameters. For mountain LAI retrieval method based on image topographic correction, it is difficult to choose suitable topographic correction method, because the generality of the existing models is poor that a single topographic correction model may only be applicable to a certain terrain condition, a certain area, a certain

关 键 词：遥感 光学遥感 叶面积指数 地形校正 山地冠层反射率模型 DEM 

分 类 号：TP79[自动化与计算机技术—检测技术与自动化装置] Q948[自动化与计算机技术—控制科学与工程]