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Conference Paper

A deep Learning-based approach for landslide dating from time-series of SAR data

Authors
/persons/resource/wandi

Wang,  Wandi
1.4 Remote Sensing, 1.0 Geodesy, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

/persons/resource/motagh

Motagh,  M.
1.4 Remote Sensing, 1.0 Geodesy, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

/persons/resource/zhuge

Xia,  Zhuge
1.4 Remote Sensing, 1.0 Geodesy, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

Plank,  Simon
External Organizations;

Zhe,  Li
External Organizations;

Orynbaikyzy,  Aiym
External Organizations;

/persons/resource/zhouchao

Zhou,  Chao
1.4 Remote Sensing, 1.0 Geodesy, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

/persons/resource/roessner

Roessner,  S.
1.4 Remote Sensing, 1.0 Geodesy, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

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Citation

Wang, W., Motagh, M., Xia, Z., Plank, S., Zhe, L., Orynbaikyzy, A., Zhou, C., Roessner, S. (2024): A deep Learning-based approach for landslide dating from time-series of SAR data - Abstracts, EGU General Assembly 2024 (Vienna, Austria and Online 2024).
https://doi.org/10.5194/egusphere-egu24-12097


Cite as: https://gfzpublic.gfz-potsdam.de/pubman/item/item_5026333
Abstract
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