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植被指数的地形效应研究进展

张慧 李平衡 周国模 周宇峰

应用生态学报2018,Vol.29Issue(2):669-677,9.
应用生态学报2018,Vol.29Issue(2):669-677,9.DOI:10.13287/j.1001-9332.201802.011

植被指数的地形效应研究进展

Advances in the studies on topographic effects of vegetation indices

张慧 1李平衡 1周国模 1周宇峰1

作者信息

  • 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
  • 折叠

摘要

Abstract

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

Key words

topographic effect/complete ratio vegetation index/incomplete ratio vegetation index/non-ratio vegetation index/geometric optical model

引用本文复制引用

张慧,李平衡,周国模,周宇峰..植被指数的地形效应研究进展[J].应用生态学报,2018,29(2):669-677,9.

基金项目

本文由国家自然科学基金项目(31370637)、中国绿色碳汇基金会科研项目和浙江省科技厅重点社会发展项目(2015C03008)资助 This work was supported by the National Natural Science Foundation of China(31370637),the China Green Carbon Foundation Research Project,and the Zhejiang Province Key Science and Technology Project (2015C03008). (31370637)

应用生态学报

OA北大核心CSCDCSTPCD

1001-9332

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