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Using Deep Learning for Sentinel-1-based Landslide Mapping

Orynbaikyzy, Aiym and Albrecht, Frauke and Yao, Wei and Plank, Simon Manuel and Camero, Andrés and Martinis, Sandro (2023) Using Deep Learning for Sentinel-1-based Landslide Mapping. EGU 2023 General Assembly, 2023-04-23 - 2023-04-28, Wien, Österreich. doi: 10.5194/egusphere-egu23-6884.

Full text not available from this repository.

Official URL: https://meetingorganizer.copernicus.org/EGU23/EGU23-6884.html


Item URL in elib:https://elib.dlr.de/196466/
Document Type:Conference or Workshop Item (Speech)
Title:Using Deep Learning for Sentinel-1-based Landslide Mapping
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Orynbaikyzy, AiymUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Albrecht, FraukeGerman Climate Computing Center (DKRZ)UNSPECIFIEDUNSPECIFIED
Yao, WeiUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Plank, Simon ManuelUNSPECIFIEDhttps://orcid.org/0000-0002-5793-052XUNSPECIFIED
Camero, AndrésUNSPECIFIEDhttps://orcid.org/0000-0002-8152-9381UNSPECIFIED
Martinis, SandroUNSPECIFIEDhttps://orcid.org/0000-0002-6400-361XUNSPECIFIED
Date:28 April 2023
Refereed publication:No
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
DOI:10.5194/egusphere-egu23-6884
Status:Published
Keywords:Landslide, Sentinel-1, Deep Learning
Event Title:EGU 2023 General Assembly
Event Location:Wien, Österreich
Event Type:international Conference
Event Start Date:23 April 2023
Event End Date:28 April 2023
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, R - Artificial Intelligence
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Geo Risks and Civil Security
Remote Sensing Technology Institute > EO Data Science
Deposited By: Plank, Simon Manuel
Deposited On:19 Oct 2023 09:31
Last Modified:24 Apr 2024 20:56

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