GeoAI-based drainage crossing detection for elevation-derived hydrographic mapping

M Edidem, R Li, D Wu, B Rekabdar, G Wang - Environmental Modelling & …, 2025 - Elsevier
The increasing availability of High-Resolution Digital Elevation Models (HRDEMs) allows
accurate delineation of stream and drainage flowlines at the field scale. However, the …

Classification of drainage crossings on high-resolution digital elevation models: A deep learning approach

D Wu, R Li, B Rekabdar, C Talbert… - GIScience & Remote …, 2023 - Taylor & Francis
ABSTRACT High-Resolution Digital Elevation Models (HRDEMs) have been used to
delineate fine-scale hydrographic features in landscapes with relatively level topography …

Deep Learning-Based Spatial Detection of Drainage Structures using Advanced Object Detection Methods

S Jalalipour, S Ayyalasomayjula… - 2023 Fifth …, 2023 - ieeexplore.ieee.org
Hydrologic connectivity plays a critical role in understanding and managing environmental
processes. The spatial characterization of hydrologic connectivity often relies on hydro …

Exploration of TPU Architectures for the Optimized Transformer in Drainage Crossing Detection

A Nazeri, DW Godwin, AM Panteleaki… - … Conference on Big …, 2024 - ieeexplore.ieee.org
Understanding hydrologic connectivity within landscapes is crucial for managing
environmental challenges. Despite advancements in high-resolution Digital Elevation …

[HTML][HTML] Automatic Detection of Ditches and Natural Streams from Digital Elevation Models Using Deep Learning

MDST Busarello, AM Ågren, F Westphal… - Computers & …, 2025 - Elsevier
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 …

Automated road breaching to enhance extraction of natural drainage networks from elevation models through deep learning

L Stanislawski, T Brockmeyer… - … Archives of the …, 2018 - isprs-archives.copernicus.org
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 …

[HTML][HTML] Deep learning-enhanced detection of road culverts in high-resolution digital elevation models: Improving stream network accuracy in Sweden

W Lidberg - Journal of Hydrology: Regional Studies, 2025 - Elsevier
Study region Sweden, a mostly forested country with many small forest roads obstructing
topographical modelling of shallow groundwater and streams. Study focus Maps have …

Accuracy-constrained efficiency optimization and GPU profiling of CNN inference for detecting drainage crossing locations

Y Zhang, D Pandey, D Wu, T Kundu, R Li… - Proceedings of the SC'23 …, 2023 - dl.acm.org
The accurate and efficient determination of hydrologic connectivity has garnered significant
attention from both academic and industrial sectors due to its critical implications for …

[HTML][HTML] Development of Deep Intelligence for Automatic River Detection (RivDet)

S Lee, Y Kong, T Lee - Remote Sensing, 2025 - mdpi.com
Recently, the impact of climate change has led to an increase in the scale and frequency of
extreme rainfall and flash floods. Due to this, the occurrence of floods and various river …

Automated extraction of drainage channels and roads through deep learning

L Stanislawski, T Brockmeyer… - Abstracts of the …, 2019 - ica-abs.copernicus.org
The National Map provides geospatial data that support various uses such as resource
management, disaster response, and science investigations. To properly support these …