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

Wang, Wandi and Motagh, Mahdi and Xia, Zhuge and Plank, Simon Manuel and Li, Zhe and Orynbaikyzy, Aiym and Zhou, Chao and Roessner, Sigrid (2024) A deep Learning-based approach for landslide dating from time-series of SAR data. European Geosciences Union General Assembly 2024, 2024-04-15 - 2024-04-19, Wien, Österreich.

Full text not available from this repository.

Official URL: https://meetingorganizer.copernicus.org/EGU24/EGU24-12097.html


Item URL in elib:https://elib.dlr.de/204057/
Document Type:Conference or Workshop Item (Speech)
Title:A deep Learning-based approach for landslide dating from time-series of SAR data
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Wang, WandiGFZUNSPECIFIEDUNSPECIFIED
Motagh, MahdiGFZ PotsdamUNSPECIFIEDUNSPECIFIED
Xia, ZhugeGFZUNSPECIFIEDUNSPECIFIED
Plank, Simon ManuelUNSPECIFIEDhttps://orcid.org/0000-0002-5793-052XUNSPECIFIED
Li, ZheUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Orynbaikyzy, AiymUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Zhou, ChaoGFZUNSPECIFIEDUNSPECIFIED
Roessner, SigridGFZUNSPECIFIEDUNSPECIFIED
Date:16 April 2024
Refereed publication:No
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Page Range:p. 1
Status:Published
Keywords:Satellite, landslide
Event Title:European Geosciences Union General Assembly 2024
Event Location:Wien, Österreich
Event Type:international Conference
Event Start Date:15 April 2024
Event End Date:19 April 2024
Organizer:EGU
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Earth Observation
DLR - Research theme (Project):R - Remote Sensing and Geo Research
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Geo Risks and Civil Security
Deposited By: Plank, Simon Manuel
Deposited On:13 May 2024 11:23
Last Modified:13 May 2024 11:23

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