Classifying Ditch and Stream Channels Mapped From High-Resolution Digital Elevation Models Using Machine Learning

dc.contributor.authorMariana Busarello
dc.contributor.authorWilliam Lidberg
dc.contributor.authorAnneli Ågren
dc.contributor.authorFlorian Westphal
dc.date.accessioned2026-07-06T12:12:22Z
dc.date.available2026-07-06T12:12:22Z
dc.date.issued2026-06-23
dc.descriptionThis data contains the digital elevation models with 0.5 m resolution and polyline shapefiles with the location of channels from the 12 study areas used in this study. It also has the scripts to generate the datasets used to train the machine learning model to classify channels into ditches and streams, and calculate the hydrological indices. The code to train the model is also included, along with the models obtained. For the ground truth data, the channels were mapped differently based on their type: ditches were manually digitized based on the visual analysis of some topographic indices and orthophotos obtained from the DEM. Streams were mapped by initially detecting all natural channel heads, then tracing the downstream channels, and finally manually editing them based on orthophotos. We recommend using Docker to set the environment.
dc.description.sponsorshipMarianne and Marcus Wallenberg Foundation
dc.identifier.govdocSLU.seksko.2024.4.4.IÄ-1
dc.identifier.urihttps://doi.org/10.5878/r0x8-kx56
dc.identifier.urihttps://doi.org/10.5878/nrve-3731
dc.identifier.urihttps://hdl.handle.net/20.500.12703/7574
dc.languageotheren_EN
dc.publisherSwedish University of Agricultural Sciences
dc.subjectMultidisciplinary Geosciences
dc.subjectPhysical Geography
dc.subjectSoil Science
dc.subjectImagery / Base Maps / Earth Cover
dc.subjectGeoscientific Information
dc.subjectElevation
dc.subjectLocation
dc.subjectInland Waters
dc.subjectRIVERS/STREAMS
dc.subjectWATER CHANNELS
dc.subjectdigital elevation model
dc.subjectHydrography
dc.subjectditches
dc.subjectmachine learning
dc.subjectartificial intelligence
dc.subjectlidar
dc.titleClassifying Ditch and Stream Channels Mapped From High-Resolution Digital Elevation Models Using Machine Learning
dc.typeDatasetsv_SE
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