elib
DLR-Header
DLR-Logo -> http://www.dlr.de
DLR Portal Home | Imprint | Privacy Policy | Contact | Deutsch
Fontsize: [-] Text [+]

Application of SAR time-series and deep learning in estimation landslide occurrence time

Wang, Wandi and Motagh, Mahdi and Plank, Simon Manuel and Orynbaikyzy, Aiym and Roessner, Sigrid (2022) Application of SAR time-series and deep learning in estimation landslide occurrence time. ISPRS 2022, 2022-06-06 - 2022-06-11, Nizza, Frankreich.

Full text not available from this repository.


Item URL in elib:https://elib.dlr.de/188277/
Document Type:Conference or Workshop Item (Speech)
Title:Application of SAR time-series and deep learning in estimation landslide occurrence time
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Wang, WandiGFZUNSPECIFIEDUNSPECIFIED
Motagh, MahdiGFZ PotsdamUNSPECIFIEDUNSPECIFIED
Plank, Simon ManuelUNSPECIFIEDhttps://orcid.org/0000-0002-5793-052XUNSPECIFIED
Orynbaikyzy, AiymUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Roessner, SigridGFZUNSPECIFIEDUNSPECIFIED
Date:11 June 2022
Refereed publication:No
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:Landslide, time of failure, SAR, AI
Event Title:ISPRS 2022
Event Location:Nizza, Frankreich
Event Type:international Conference
Event Start Date:6 June 2022
Event End Date:11 June 2022
Organizer:ISPRS
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:22 Sep 2022 10:14
Last Modified:24 Apr 2024 20:49

Repository Staff Only: item control page

Browse
Search
Help & Contact
Information
electronic library is running on EPrints 3.3.12
Website and database design: Copyright © German Aerospace Center (DLR). All rights reserved.