Review of the detection and attribution of multi-type forest disturbances using an ensemble of spatio-temporal-spectral information from remote sensing images

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Review of the detection and attribution of multi-type forest disturbances using an ensemble of spatio-temporal-spectral information from remote sensing images
- role：First author第一作者
- Affiliation：
  School of Information Engineering, China University of Geosciences, Beijing 100083, China
- Email：wuling@cugb.edu.cn
- Introduction：吴伶，研究方向为遥感时序分析与时空数据挖掘。E-mail：wuling@cugb.edu.cn
WU Ling
* ,
- role：Corresponding author通信作者
- Affiliation：
  School of Information Engineering, China University of Geosciences, Beijing 100083, China
- Email：liuxn@cugb.edu.cn
- Introduction：刘湘南，研究方向为资源与生态遥感、遥感信息智能挖掘与GIS。E-mail：liuxn@cugb.edu.cn
LIU Xiangnan
* ,
- Affiliation：
  School of Information Engineering, China University of Geosciences, Beijing 100083, China
LIU Meiling
* ,
- Affiliation：
  School of Information Engineering, China University of Geosciences, Beijing 100083, China
ZHANG Tingwei
* ,
- Affiliation：
  School of Information Engineering, China University of Geosciences, Beijing 100083, China
YANG Baowen
* ,
- Affiliation：
  School of Information Engineering, China University of Geosciences, Beijing 100083, China
XU Yuqi
*
Vol. 28, Issue 3, Pages: 558-575(2024)
DOI：10.11834/jrs.20232211
Accepted：

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