Assessing the impacts of anthropogenic drainage structures on hydrologic connectivity using high‐resolution digital elevation models
Author:
Affiliation:
1. School of Earth Systems and Sustainability Southern Illinois University Carbondale Illinois USA
2. School of Computing Southern Illinois University Carbondale Illinois USA
Funder
Division of Behavioral and Cognitive Sciences
Publisher
Wiley
Subject
General Earth and Planetary Sciences
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1111/tgis.12832
Reference55 articles.
1. On depressional storages: The effect of DEM spatial resolution
2. Lidar Elevation Data for Surface Hydrologic Modeling: Resolution and Representation Issues
3. Priority-flood: An optimal depression-filling and watershed-labeling algorithm for digital elevation models
4. Road Erosion and Delivery Index (READI): A Model for Evaluating Unpaved Road Erosion and Stream Sediment Delivery
5. How does modifying a DEM to reflect known hydrology affect subsequent terrain analysis?
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Deep Learning-Based Spatial Detection of Drainage Structures using Advanced Object Detection Methods;2023 Fifth International Conference on Transdisciplinary AI (TransAI);2023-09-25
2. Classification of drainage crossings on high-resolution digital elevation models: A deep learning approach;GIScience & Remote Sensing;2023-07-03
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