A multi-platform, open-source, and quantitative remote sensing framework for dam-related hazard investigation: Insights into the 2020 Sardoba dam collapse

Lei Xie; Wenbin Xu; Xiaoli Ding; Roland Bürgmann; Sanjay Giri; Xiaoge Liu

A multi-platform, open-source, and quantitative remote sensing framework for dam-related hazard investigation: Insights into the 2020 Sardoba dam collapse

Lei Xie, Wenbin Xu, Xiaoli Ding, Roland Bürgmann, Sanjay Giri, Xiaoge Liu

Department of Land Surveying and Geo-Informatics

Research output: Journal article publication › Journal article › Academic research › peer-review

Original language	English
Journal	International Journal of Applied Earth Observation and Geoinformation
Publication status	Published - Jan 2022

More information

http://hdl.handle.net/10397/99713

Cite this

@article{82152e3122cd42ee8a2dc978c7f28505,

title = "A multi-platform, open-source, and quantitative remote sensing framework for dam-related hazard investigation: Insights into the 2020 Sardoba dam collapse",

author = "Lei Xie and Wenbin Xu and Xiaoli Ding and Roland B{\"u}rgmann and Sanjay Giri and Xiaoge Liu",

year = "2022",

month = jan,

language = "English",

journal = "International Journal of Applied Earth Observation and Geoinformation",

issn = "1569-8432",

publisher = "Elsevier B.V.",

}

A multi-platform, open-source, and quantitative remote sensing framework for dam-related hazard investigation: Insights into the 2020 Sardoba dam collapse. / Xie, Lei; Xu, Wenbin; Ding, Xiaoli et al.
In: International Journal of Applied Earth Observation and Geoinformation, 01.2022.

Research output: Journal article publication › Journal article › Academic research › peer-review

TY - JOUR

T1 - A multi-platform, open-source, and quantitative remote sensing framework for dam-related hazard investigation: Insights into the 2020 Sardoba dam collapse

AU - Xie, Lei

AU - Xu, Wenbin

AU - Ding, Xiaoli

AU - Bürgmann, Roland

AU - Giri, Sanjay

AU - Liu, Xiaoge

PY - 2022/1

Y1 - 2022/1

M3 - Journal article

SN - 1569-8432

JO - International Journal of Applied Earth Observation and Geoinformation

JF - International Journal of Applied Earth Observation and Geoinformation

ER -