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Enhancing Hydrologic LiDAR Digital Elevation Models: Bridging Hydrographic Gaps at Fine Scales

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Type:	Resource
Storage:	The size of this resource is 362.2 MB
Created:	Apr 11, 2025 at 4:28 a.m.
Last updated:	Apr 11, 2025 at 4:48 a.m.
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Sharing Status:	Public
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Abstract

High-resolution digital elevation models (HRDEMs), derived from LiDAR, are widely used for mapping hydrographic details in flat terrains. However, artificial flow barriers, particularly from roads, elevate terrain and prematurely end flowlines. Drainage barrier processing (DBP), such as HRDEM excavation, is employed to address this issue. However, there is a gap in quantitatively assessing the impact of DBP on HRDEM-derived flowlines, especially at finer scales. This study fills that gap by quantitatively assessing how DBP improves flowline quality at finer scales. We evaluated HRDEM-derived flowlines that were generated using different flow direction algorithms, developing a framework to measure the effects of flow barrier removal. The results show that the primary factor influencing flowline quality is the presence of flow accumulation artifacts. Quality issues also stem from differences between natural and artificial flow paths, unrealistic flowlines in flat areas, complex canal networks, and ephemeral drainage ways. Notably, the improvement achieved by DBP is demonstrated to be more than 6%, showcasing its efficacy in reducing the impact of flow barriers on hydrologic connectivity.

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Coverage

Spatial

Coordinate System/Geographic Projection:

WGS 84 EPSG:4326

Coordinate Units:

Decimal degrees

Place/Area Name:

Flat Creek Watershed

North Latitude

40.7834°

East Longitude

-98.3475°

South Latitude

40.6168°

West Longitude

-98.6634°

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Additional Metadata

Name	Value
Flat Creek Watershed Hydrography Dataset	This dataset includes high-resolution DEMs and multi-scale hydrographic datasets documented in the journal article: Wu, D., R. Li, M. Edidem, G. Wang. 2024, Enhancing Hydrologic LiDAR Digital Elevation Models: Bridging Hydrographic Gaps at Fine Scales. JAWRA Journal of the American Water Resources Association. 60(6), 1253-1269.

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Credits

Funding Agencies

This resource was created using funding from the following sources:

Agency Name	Award Title	Award Number
U.S. National Science Foundation	Enhancing High-resolution Terrain Data Model for Improving the Delineation of Multi-scale Hydrological Connectivity	1951741

How to Cite

Li, R., D. Wu (2025). Enhancing Hydrologic LiDAR Digital Elevation Models: Bridging Hydrographic Gaps at Fine Scales, HydroShare, http://www.hydroshare.org/resource/32119ad130ab47f1982da253241d9c25

This resource is shared under the Creative Commons Attribution CC BY.

http://creativecommons.org/licenses/by/4.0/

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