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

Wang, Wandi; Motagh, M.; Xia, Zhuge; Plank, Simon; Zhe, Li; Orynbaikyzy, Aiym; Zhou, Chao; Roessner, S.

doi:10.5194/egusphere-egu24-12097

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

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

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Item Permalink: https://gfzpublic.gfz-potsdam.de/pubman/item/item_5026333 Version Permalink: https://gfzpublic.gfz-potsdam.de/pubman/item/item_5026333_1

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Creators:
Wang, Wandi¹, Author
Motagh, M.¹, Author
Xia, Zhuge¹, Author
Plank, Simon², Author
Zhe, Li², Author
Orynbaikyzy, Aiym ², Author
Zhou, Chao¹, Author
Roessner, S.¹, Author

Affiliations:
11.4 Remote Sensing, 1.0 Geodesy, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum, ou_146028
2External Organizations, ou_persistent22

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Dates: Finally published : 2024

Publication Status: Finally published

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Identifiers: GFZPOF: p4 T3 Restless Earth
DOI: 10.5194/egusphere-egu24-12097

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Title: EGU General Assembly 2024

Place of Event: Vienna, Austria and Online

Start-/End Date: 2024-04-14 - 2024-04-19

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Title: Abstracts

Source Genre: Proceedings

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