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Enhancing Coastal Resilience: UAV-based Deep Learning for Advanced Dike and Vegetation Monitoring

Adam, Markus Roland and Marquardt, Max and Müller, Marlin and Dietenberger, Steffen and Leiber, Julian and Dubois, Clemence and Thiel, Christian (2024) Enhancing Coastal Resilience: UAV-based Deep Learning for Advanced Dike and Vegetation Monitoring. UAV-based Remote Sensing Methods for Monitoring Vegetation, 2024-09-30 - 2024-10-01, Köln, Deutschland. (Unpublished)

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Item URL in elib:https://elib.dlr.de/207563/
Document Type:Conference or Workshop Item (Poster)
Title:Enhancing Coastal Resilience: UAV-based Deep Learning for Advanced Dike and Vegetation Monitoring
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Adam, Markus Rolandmarkus.adam (at) dlr.dehttps://orcid.org/0009-0000-0140-0290UNSPECIFIED
Marquardt, MaxUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Müller, MarlinUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Dietenberger, SteffenUNSPECIFIEDhttps://orcid.org/0009-0003-2771-6068UNSPECIFIED
Leiber, JulianUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Dubois, ClemenceUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Thiel, ChristianUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Date:30 September 2024
Refereed publication:No
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Unpublished
Keywords:uncrewed aerial vehicle (UAV), drone, dike, monitoring, land cover, vegetation, Structure from Motion (SfM), deep learning, change detection, coast
Event Title:UAV-based Remote Sensing Methods for Monitoring Vegetation
Event Location:Köln, Deutschland
Event Type:Workshop
Event Start Date:30 September 2024
Event End Date:1 October 2024
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Transport
HGF - Program Themes:Transport System
DLR - Research area:Transport
DLR - Program:V VS - Verkehrssystem
DLR - Research theme (Project):V - RESIKOAST - Resiliente Versorgungsinfrastruktur und Warenströme im Kontext küstennaher Extremwetterereignisse
Location: Jena
Institutes and Institutions:Institute of Data Science > Data Analysis and Intelligence
Deposited By: Adam, Markus Roland
Deposited On:05 Nov 2024 15:59
Last Modified:05 Nov 2024 15:59

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