Spatial Pattern and Dynamic Change of Vegetation Greenness From 2001 to 2020 in Tibet, China

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成果类型：

期刊论文

作者：

Jiang, Fugen;Deng, Muli;Long, Yi;Sun, Hua

通讯作者：

Sun, H

作者机构：

[Deng, Muli; Long, Yi; Sun, Hua; Jiang, Fugen] Cent South Univ Forestry & Technol, Res Ctr Forestry Remote Sensing & Informat Engn, Changsha, Peoples R China.

[Deng, Muli; Long, Yi; Sun, Hua; Jiang, Fugen] Key Lab Forestry Remote Sensing Based Big Data & E, Changsha, Peoples R China.

[Deng, Muli; Long, Yi; Sun, Hua; Jiang, Fugen] Key Lab State Forestry Adm Forest Resources Manage, Changsha, Peoples R China.

通讯机构：

[Sun, H ] C

Cent South Univ Forestry & Technol, Res Ctr Forestry Remote Sensing & Informat Engn, Changsha, Peoples R China.

Key Lab Forestry Remote Sensing Based Big Data & E, Changsha, Peoples R China.

Key Lab State Forestry Adm Forest Resources Manage, Changsha, Peoples R China.

语种：

英文

关键词：

vegetation greenness;Ecosystem monitoring;Spatial-temporal analysis;Google Earth Engine;Hurst exponent

期刊：

FRONTIERS IN PLANT SCIENCE

ISSN：

1664-462X

年：

2022

卷：

页码：

892625

DOI：

10.3389/fpls.2022.892625

基金类别：

This research is supported by the Natural Science Foundation of China (31971578), the Scientific Research Fund of Changsha Science and Technology Bureau (kq2004095), the Scientific Research Fund of Hunan Provincial Education Department (17A225), and the Postgraduate Scientific Research Innovation Project of Hunan Province (CX20210852).

机构署名：

本校为第一且通讯机构

院系归属：

林学院

摘要：

Due to the cold climate and dramatically undulating altitude, the identification of dynamic vegetation trends and main drivers is essential to maintain the ecological balance in Tibet. The normalized difference vegetation index (NDVI), as the most commonly used greenness index, can effectively evaluate vegetation health and spatial patterns. MODIS-NDVI (Moderate-resolution Imaging Spectroradiometer-NDVI) data for Tibet from 2001 to 2020 were obtained and preprocessed on the Google Earth Engine (GEE) cloud platform. The Theil–Sen median method ...

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Spatial Pattern and Dynamic Change of Vegetation Greenness From 2001 to 2020 in Tibet, China

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