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Unsupervised Detection of Historical Landslides Using Multitemporal Sentinel-2 Imagery: A Comparative Analsysis of Time Series Methods in Bavaria

Happ, Simon (2025) Unsupervised Detection of Historical Landslides Using Multitemporal Sentinel-2 Imagery: A Comparative Analsysis of Time Series Methods in Bavaria. Master's, Rheinische Friedrich-Wilhelms-Universität Bonn.

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Item URL in elib:https://elib.dlr.de/217993/
Document Type:Thesis (Master's)
Title:Unsupervised Detection of Historical Landslides Using Multitemporal Sentinel-2 Imagery: A Comparative Analsysis of Time Series Methods in Bavaria
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Happ, SimonRheinische Friedrich-Wilhelms-Universität BonnUNSPECIFIEDUNSPECIFIED
DLR Supervisors:
ContributionDLR SupervisorInstitution or E-MailDLR Supervisor's ORCID iD
Thesis advisorGeiß, ChristianChristian.Geiss (at) dlr.dehttps://orcid.org/0000-0002-7961-8553
Date:2025
Open Access:No
Number of Pages:81
Status:Published
Keywords:landslide mapping, earth observation
Institution:Rheinische Friedrich-Wilhelms-Universität Bonn
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: Geiß, Christian
Deposited On:27 Oct 2025 09:47
Last Modified:27 Oct 2025 09:47

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