植被指数的地形效应研究进展  

Advances in the studies on topographic effects of vegetation indices

作　　者：张慧 李平衡[1] 周国模[1] 周宇峰[1] 

机构地区：[1]省部共建亚热带森林培育国家重点实验室/浙江农林大学浙江省森林生态系统碳循环与固碳减排重点实验室/浙江农林大学环境与资源学院,浙江临安311300

出　　处：《应用生态学报》2018年第2期669-677,共9页Chinese Journal of Applied Ecology

基　　金：国家自然科学基金项目(31370637);中国绿色碳汇基金会科研项目;浙江省科技厅重点社会发展项目(2015C03008)资助~~

摘　　要：植被指数是定性、定量评估绿色植被的关键指标,已经广泛应用于地表植被的监测.森林多分布在地形复杂山区,利用植被指数进行森林植被信息反演时地形对其影响较大.本文从几何光学模型原理分析了冠层反射率的地形效应,分析比较完全比值型植被指数(简单比值植被指数SR、归一化植被指数NDVI和湿度调整植被指数MAVI)、非完全比值型植被指数(增强型植被指数EVI和土壤调整植被指数SAVI)、非比值型植被指数(减化比值植被指数RSR、修正归一化植被指数MNDVI和绿度植被指数GVI),以及地形调节植被指数TAVI对地形的响应,试图为复杂地形山区选取植被指数提供参考.最后分析了植被指数地形效应研究的不足并对未来发展进行展望.Vegetation index is a key indicator for qualitative and quantitative assessment of green vegetation, which has been widely used in vegetation monitoring. Forests are often distributed in mountainous areas with complex topography, which is one of the main factors of accurate retrieval of forest vegetation information. Here, we analyzed the topographic effects on canopy reflectance using a geometric optical model. The responses of complete ratio vegetation indices [ simple ratio index （SR）, normalized difference vegetation index （NDVI） and moisture adjusted vegetation index （MAVI） ], incomplete ratio vegetation indices [ enhanced vegetation index （EVI） and soil adjusted vegetation index （SAVI） ], non-ratio vegetation indices [ reduced simple ratio （ RSR）, modified normalized difference vegetation index （MNDVI）, greenness vegetation index （GVI）] and, topography adjusted vegetation index [ topography adjusted vegetation index （TAVI）] to topography were discussed in detail, with the aim to provide reference for selecting vegetation index in complex terrain mountainous area. The shortcomings of current literatures about the topographic effects on vegetation indices were analyzed and the future research directions were prospected.

关 键 词：地形效应 完全比值型植被指数 非完全比值型植被指数 非比值型植被指数 几何光学模型 

分 类 号：Q948[生物学—植物学]