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A framework for automated landslide dating utilizing SAR-derived Parameters Time-Series, An Enhanced Transformer Model, and Dynamic Thresholding

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 framework for automated landslide dating utilizing SAR-derived Parameters Time-Series, An Enhanced Transformer Model, and Dynamic Thresholding. International Journal of Applied Earth Observation and Geoinformation, 129 (103795), pp. 1-14. Elsevier. doi: 10.1016/j.jag.2024.103795. ISSN 1569-8432.

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Official URL: https://www.sciencedirect.com/science/article/pii/S1569843224001493


Item URL in elib:https://elib.dlr.de/203523/
Document Type:Article
Title:A framework for automated landslide dating utilizing SAR-derived Parameters Time-Series, An Enhanced Transformer Model, and Dynamic Thresholding
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, ZheHong Kong Polytechnic UniversityUNSPECIFIEDUNSPECIFIED
Orynbaikyzy, AiymUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Zhou, ChaoGFZUNSPECIFIEDUNSPECIFIED
Roessner, SigridGFZUNSPECIFIEDUNSPECIFIED
Date:May 2024
Journal or Publication Title:International Journal of Applied Earth Observation and Geoinformation
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:129
DOI:10.1016/j.jag.2024.103795
Page Range:pp. 1-14
Publisher:Elsevier
ISSN:1569-8432
Status:Published
Keywords:A new automatic framework for landslide dating from time-series of SAR data; A new Transformer deep learning model to calculate the anomaly score time-series; An adaptive thresholding method strategy designed to dynamically and automatically mark anomalies.
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:25 Apr 2024 08:56
Last Modified:29 Apr 2024 09:56

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