Analyzing the spatiotemporal pattern and driving factors of wetland vegetation changes using 2000‐2019 time-series Landsat data

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作者信息关键词期刊信息基础信息归属信息摘要

成果类型：

期刊论文

作者：

Zhang, Meng;Lin, Hui;Long, Xiangren;Cai, Yaotong

通讯作者：

Yaotong Cai

作者机构：

[Long, Xiangren; Zhang, Meng; Cai, Yaotong; Lin, Hui] Cent South Univ Forestry & Technol, Res Ctr Forestry Remote Sensing & Informat Engn, Changsha 410004, Peoples R China.

[Long, Xiangren; Zhang, Meng; Cai, Yaotong; Lin, Hui] Key Lab State Forestry Adm Forest Resources Manag, Changsha 410004, Peoples R China.

[Long, Xiangren; Zhang, Meng; Cai, Yaotong; Lin, Hui] Key Lab Forestry Remote Sensing Based Big Data &, Changsha 410004, Peoples R China.

通讯机构：

[Yaotong Cai] R

Research Center of Forestry Remote Sensing & Information Engineering Central South University of Forestry & Technology, Changsha 410004, China<&wdkj&>Key Laboratory of State Forestry Administration on Forest Resources Management and Monitoring in Southern Area, Changsha 410004, China<&wdkj&>Key Laboratory of Forestry Remote Sensing Based Big Data & Ecological Security for Hunan Province, Changsha 410004, China

语种：

英文

关键词：

Dongting Lake wetland;Quantitative analysis;Vegetation variation;Climate change;Human activities

期刊：

Science of The Total Environment

ISSN：

0048-9697

年：

2021

卷：

780

页码：

146615

DOI：

10.1016/j.scitotenv.2021.146615

基金类别：

CRediT authorship contribution statement Meng Zhang: Conceptualization, Methodology, Formal analysis, Project administration, acquisition, Investigation, Writing – original draft, Writing – review & editing. Hui Lin: Supervision, Project administration, acquisition. Xiangren Long: Data curation, Investigation. Yaotong Cai: Visualization, Investigation, Data curation, Methodology, Software, Project administration, acquisition, Writing – original draft, Writing – review & editing.

机构署名：

本校为第一机构

院系归属：

林学院

摘要：

Probing the long-term spatiotemporal patterns of wetland vegetation changes and their response to climate change and human activities is critical to make informed decisions regarding ecosystem protection. Here, the spatiotemporal patterns and factors that drive vegetation changes in the Dongting Lake wetland from 2000 to 2019 were analyzed using monthly normalized difference vegetation index (NDVI) data at a 30 m spatial resolution. First, abrupt vegetation changes were identified using the breaks for additive season and trend approach. Moreover, the relative impacts of climatic factors on mon...

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Analyzing the spatiotemporal pattern and driving factors of wetland vegetation changes using 2000‐2019 time-series Landsat data

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