Deep learning methods applied to digital elevation models: state of the art
JJ Ruiz-Lendínez, FJ Ariza-López… - Geocarto …, 2023 - Taylor & Francis
Deep Learning (DL) has a wide variety of applications in various thematic domains,
including spatial information. Although with limitations, it is also starting to be considered in …
including spatial information. Although with limitations, it is also starting to be considered in …
[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 …
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
The accurate and efficient determination of hydrologic connectivity has garnered significant
attention from both academic and industrial sectors due to its critical implications for …
attention from both academic and industrial sectors due to its critical implications for …
GeoAI-based drainage crossing detection for elevation-derived hydrographic mapping
The increasing availability of High-Resolution Digital Elevation Models (HRDEMs) allows
accurate delineation of stream and drainage flowlines at the field scale. However, the …
accurate delineation of stream and drainage flowlines at the field scale. However, the …
Pareto Optimization of CNN Models via Hardware-Aware Neural Architecture Search for Drainage Crossing Classification on Resource-Limited Devices
Embedded devices, constrained by limited memory and processors, require deep learning
models to be tailored to their specifications. This research explores customized model …
models to be tailored to their specifications. This research explores customized model …
Enhancing hydrologic LiDAR digital elevation models: Bridging hydrographic gaps at fine scales
High‐resolution digital elevation models (HRDEMs), derived from LiDAR, are widely used
for mapping hydrographic details in flat terrains. However, artificial flow barriers, particularly …
for mapping hydrographic details in flat terrains. However, artificial flow barriers, particularly …
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 …
environmental challenges. Despite advancements in high-resolution Digital Elevation …
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 …
processes. The spatial characterization of hydrologic connectivity often relies on hydro …
Using Advanced Deep Learning Techniques to Identify Drainage Crossing Features
MI Edidem - 2024 - search.proquest.com
High-resolution digital elevation models (HRDEMs) enable precise mapping of
hydrographic features. However, the absence of drainage crossings underpassing roads or …
hydrographic features. However, the absence of drainage crossings underpassing roads or …