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Spatiotemporal disturbances and attribution analysis of mangrove in southern China from 1986 to 2020 based on time-series Landsat imagery

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成果类型:
期刊论文
作者:
Long, Kexin;Chen, Zhaojun;Zhang, Huaiqing;Zhang, Meng
通讯作者:
Zhang, M
作者机构:
[Long, Kexin; Zhang, Meng; Chen, Zhaojun] Cent South Univ Forestry & Technol, Res Ctr Forestry Remote Sensing & Informat Engn, Changsha 410004, Peoples R China.
[Long, Kexin; Zhang, Meng; Chen, Zhaojun] Key Lab State Forestry Adm Forest Resources Manage, Changsha 410004, Peoples R China.
[Long, Kexin; Zhang, Meng; Chen, Zhaojun] Key Lab Forestry Remote Sensing Based Big Data & E, Changsha 410004, Peoples R China.
[Zhang, Huaiqing] Chinese Acad Forestry, Res Inst Forest Resources Informat Tech, Beijing 100091, Peoples R China.
通讯机构:
[Zhang, M ] C
Cent South Univ Forestry & Technol, Res Ctr Forestry Remote Sensing & Informat Engn, Changsha 410004, Peoples R China.
语种:
英文
关键词:
Attribution;Change detection;LandTrendr;Landsat;Mangrove;Random forest
期刊:
Science of The Total Environment
ISSN:
0048-9697
年:
2024
卷:
912
页码:
169157
基金类别:
National Natural Science Foundation of China [41901385]; Natural Science Foundation of Hunan Province of China [2022JJ40873]; Education Department of Hunan Province of China [21A0177]
机构署名:
本校为第一且通讯机构
院系归属:
林学院
摘要:
As one of the most productive ecosystems in the world, mangrove has a critical role to play in both the natural ecosystem and the human economic and social society. However, two thirds of the world's mangrove have been irreversibly damaged over the past 100years, as a result of ongoing human activities and climate change. In this paper, adopting Landsat for the past 36years as the data source, the detection of spatiotemporal changes of mangrove in southern China was carried out based on the Google Earth Engine (GEE) cloud platform using the LandTrendr algorithm. In addition, the attribution of...

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