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Conference Paper

A multi-sensor remote sensing approach for understanding slow-moving landslide reactivation: a case study from North Central Iran following reservoir impoundment and extreme precipitations

Authors
/persons/resource/magda88

Stefanova Vassileva,  M.
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/roessner

Roessner,  S.
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;

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Citation

Stefanova Vassileva, M., Motagh, M., Roessner, S., Xia, Z. (2024): A multi-sensor remote sensing approach for understanding slow-moving landslide reactivation: a case study from North Central Iran following reservoir impoundment and extreme precipitations - Abstracts, EGU General Assembly 2024 (Vienna, Austria and Online 2024).
https://doi.org/10.5194/egusphere-egu24-13222


Cite as: https://gfzpublic.gfz-potsdam.de/pubman/item/item_5026330
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