2025 CSDMS meeting-085: Difference between revisions
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|CSDMS meeting first name=Qiuyang | |CSDMS meeting first name=Qiuyang | ||
|CSDMS meeting last name=Chen | |CSDMS meeting last name=Chen | ||
|CSDMS meeting institute=University of | |CSDMS meeting institute=University of Edinburgh | ||
|CSDMS meeting city= | |CSDMS meeting city=Edinburgh | ||
|CSDMS meeting country=United Kingdom | |CSDMS meeting country=United Kingdom | ||
|CSDMS meeting email address= | |CSDMS meeting email address=qiuyangschen@gmail.com | ||
|CSDMS meeting phone=07422924390 | |CSDMS meeting phone=07422924390 | ||
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|CSDMS meeting abstract title=Customizing River Corridor Segmentation from Satellite Imagery Using Deep Learning | |CSDMS meeting abstract title=Customizing River Corridor Segmentation from Satellite Imagery Using Deep Learning | ||
|Working_group_member_WG_FRG=Terrestrial Working Group, Cyberinformatics and Numerics Working Group, Hydrology Focus Research Group, Critical Zone Focus Research Group | |Working_group_member_WG_FRG=Terrestrial Working Group, Cyberinformatics and Numerics Working Group, Hydrology Focus Research Group, Critical Zone Focus Research Group | ||
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|CSDMS meeting coauthor first name abstract=Simon M. | |||
|CSDMS meeting coauthor last name abstract=Mudd | |||
|CSDMS meeting coauthor institute / Organization=University of Edinburgh | |||
|CSDMS meeting coauthor town-city=Edinburgh | |||
|CSDMS meeting coauthor country=United Kingdom | |||
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|CSDMS meeting coauthor first name abstract=Mikael | |||
|CSDMS meeting coauthor last name abstract=Attal | |||
|CSDMS meeting coauthor institute / Organization=University of Edinburgh | |||
|CSDMS meeting coauthor town-city=Edinburgh | |||
|CSDMS meeting coauthor country=United Kingdom | |||
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|CSDMS meeting coauthor first name abstract=Chenyu | |||
|CSDMS meeting coauthor last name abstract=Zhang | |||
|CSDMS meeting coauthor town-city=Manchester | |||
|CSDMS meeting coauthor country=United Kingdom | |||
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{{CSDMS meeting abstract template 2025 | {{CSDMS meeting abstract template 2025 | ||
Latest revision as of 08:25, 18 March 2025
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Customizing River Corridor Segmentation from Satellite Imagery Using Deep Learning
Qiuyang Chen,
University of Edinburgh Edinburgh , United Kingdom. qiuyangschen@gmail.com
Simon M. Mudd, University of Edinburgh Edinburgh , United Kingdom.
Mikael Attal, University of Edinburgh Edinburgh , United Kingdom.
Chenyu Zhang, Manchester , United Kingdom.
Mapping river corridors remains challenging due to the dynamic interactions between water, sediment, and vegetation. Existing land cover maps often misclassify fluvial sediments, limiting their use in river system studies. We present a deep learning framework using incremental learning to refine river corridor mapping by integrating Sentinel-2 imagery with global land cover datasets (ESRI, Google Dynamic World, ESA WorldCover). Our method builds on existing classifications to improve differentiation between fluvial sediment, bare ground, and mining-related disturbances. The results show that incremental learning can enhance river mapping accuracy, providing a customizable approach to better capture riverine landscapes.
