| 注册
首页|期刊导航|干旱区科学|Development of a large-scale remote sensing ecological index in arid areas and its application in the Aral Sea Basin

Development of a large-scale remote sensing ecological index in arid areas and its application in the Aral Sea Basin

WANG Jie LIU Dongwei MA Jiali CHENG Yingnan WANG Lixin

干旱区科学2021,Vol.13Issue(1):40-55,16.
干旱区科学2021,Vol.13Issue(1):40-55,16.

Development of a large-scale remote sensing ecological index in arid areas and its application in the Aral Sea Basin

Development of a large-scale remote sensing ecological index in arid areas and its application in the Aral Sea Basin

WANG Jie 1LIU Dongwei 1MA Jiali 1CHENG Yingnan 1WANG Lixin1

作者信息

  • 1. School of Ecology and Environment,Inner Mongolia University,Hohhot 010021,China
  • 折叠

摘要

关键词

eco-environmental quality/arid remote sensing ecological index/Moderate Resolution Imaging Spectroradiometer (MODIS)/landscape changes/remote sensing monitoring/Central Asia

Key words

eco-environmental quality/arid remote sensing ecological index/Moderate Resolution Imaging Spectroradiometer (MODIS)/landscape changes/remote sensing monitoring/Central Asia

引用本文复制引用

WANG Jie,LIU Dongwei,MA Jiali,CHENG Yingnan,WANG Lixin..Development of a large-scale remote sensing ecological index in arid areas and its application in the Aral Sea Basin[J].干旱区科学,2021,13(1):40-55,16.

基金项目

This work was funded by the National Natural Science Foundation of China (U1603242) and the Major Science and Technology Projects in Inner Mongolia, China (ZDZX2018054). The data used in this study were obtained from the NASA (https://ladsweb.modaps.eosdis.nasa.gov/) and the National Tibetan Plateau Data Center (https://data.tpdc.ac.cn/zh-hans/). We also wish to thank the three anonymous reviewers for their helpful comments to improve the manuscript. (U1603242)

干旱区科学

OACSCDCSTPCDSCI

1674-6767

访问量0
|
下载量0
段落导航相关论文