Monitoring the vegetation dynamics in the dongting lake wetland from 2000 to 2019 using the BEAST algorithm based on dense landsat time series

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成果类型：

期刊论文

作者：

Cai, Yaotong;Liu, Shutong;Lin, Hui*

通讯作者：

Lin, Hui

作者机构：

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

[Liu, Shutong; Cai, Yaotong; Lin, Hui] Cent South Univ Forestry & Technol, Coll Forestry, Changsha 410004, Peoples R China.

[Cai, Yaotong; Lin, Hui] State Forestry Adm Forest Resources Management &, Key Lab, Changsha 410004, Peoples R China.

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

通讯机构：

[Lin, Hui] C

[Lin, Hui] S

[Lin, Hui] K

Cent South Univ Forestry & Technol, Res Ctr Forestry Remote Sensing & Informat Engn, Changsha 410004, Peoples R China.

Cent South Univ Forestry & Technol, Coll Forestry, Changsha 410004, Peoples R China.

语种：

英文

关键词：

Change detection;Dynamic monitoring;FSDAF;Landsat time series;Time-series decomposition algorithm;Wetland vegetation

期刊：

Applied Sciences-Basel

ISSN：

2076-3417

年：

2020

卷：

期：

DOI：

10.3390/app10124209

基金类别：

This research was funded by the Forestry Remote Sensing Application System based on GF satellites (Phase 2) (21-Y30B02-9001-19/22-2), the Postgraduate Scientific Research Innovation Project of Hunan Province, and in part by the Scientific Innovation Fund for Post-graduates of Central South University of Forestry and Technology. We would like to thank the editors and anonymous reviewers for valuable comments, which are important for improving this manuscript.

机构署名：

本校为第一且通讯机构

院系归属：

林学院

摘要：

The dynamic monitoring and analysis of wetland vegetation play important roles in revealing the change, restoration and reconstruction of the ecosystem environment. The increasing availability of high spatial-temporal resolution remote sensing data provides an unprecedented opportunity for wetland dynamic monitoring and change detection. Using the reconstructed dense monthly Landsat time series, this study focuses on the continuous monitoring of vegetation dynamics in Dongting Lake wetland, south China, in the last two decades (2000-2019) by us...

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Monitoring the vegetation dynamics in the dongting lake wetland from 2000 to 2019 using the BEAST algorithm based on dense landsat time series

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