Drainage network extraction is essential for different research and applications. However,
traditional methods have low efficiency, low accuracy for flat regions, and difficulties in …

High-resolution (HR) digital elevation models (DEMs), such as those at resolutions of 1 and
3 meters, have increasingly become more widely available, along with lidar point cloud data …

Drainage network extraction plays an important role in geomorphologic analyses, hydrologic
modeling, and non-point source pollutant simulation, among others. Flow enforcement, by …

The automatic mapping of drainage networks from terrain representation has been an
interesting topic in hydrological and geomorphological modeling. However, the existing …

Drainage networks are the basis for segmentation of watersheds, an essential component in
hydrological modelling, biogeochemical applications, and resource management plans …

Policies focused on waterbody protection and restoration have been suggested to European
Union member countries for some time, but to adopt these policies on a large scale the …

Drainage networks composed of small, channelized ditches are very common in the eastern
United States. These are human-made features commonly constructed for wetland drainage …

Study region Sweden, a mostly forested country with many small forest roads obstructing
topographical modelling of shallow groundwater and streams. Study focus Maps have …

Drainage network pattern recognition is a significant task with wide applications in
geographic information mining, map cartography, water resources management, and urban …

We have created a deep-learning-based river network extraction model, called DeepRiver,
that learns the characteristics of rivers from synthetic data and generalizes them to natural …