What is the effect of LiDAR-derived DEM resolution on large-scale watershed model results?

Ping Yang, Daniel P. Ames, André Fonseca, Danny Anderson, Rupesh Shrestha, Nancy F. Glenn, Yang Cao

Research output: Contribution to journalArticlepeer-review

83 Scopus citations

Abstract

This paper examines the effect of raster cell size on hydrographic feature extraction and hydrological modeling using LiDAR derived DEMs. LiDAR datasets for three experimental watersheds were converted to DEMs at various cell sizes. Watershed boundaries and stream networks were delineated from each DEM and were compared to reference data. Hydrological simulations were conducted and the outputs were compared. Smaller cell size DEMs consistently resulted in less difference between DEM-delineated features and reference data. However, minor differences been found between streamflow simulations resulted for a lumped watershed model run at daily simulations aggregated at an annual average. These findings indicate that while higher resolution DEM grids may result in more accurate representation of terrain characteristics, such variations do not necessarily improve watershed scale simulation modeling. Hence the additional expense of generating high resolution DEM's for the purpose of watershed modeling at daily or longer time steps may not be warranted.

Original languageEnglish
Pages (from-to)48-57
Number of pages10
JournalEnvironmental Modelling and Software
Volume58
DOIs
StatePublished - Aug 2014
Externally publishedYes

Funding

The authors wish to give thanks to Dr. Jim McNamara for sharing data for use in this research and to the staff at BCAL for their LiDAR data processing training and technical support. This study has been supported in part by the National Science Foundation Idaho EPSCoR Program under award number EPS- 814387 and by NOAA OAR Earth Systems Research Laboratory/Physical Sciences Division (ESRL/PSD) under award number NA09OAR4600221. André R. Fonseca acknowledges his doctoral fellowship (SFRH/BD/69654/2010) supported by FCT .

FundersFunder number
NOAA OAR Earth Systems Research Laboratory/Physical Sciences Division
PSDNA09OAR4600221, SFRH/BD/69654/2010
National Science FoundationEPS- 814387
Earth System Research Laboratories
Fundação para a Ciência e a Tecnologia

    Keywords

    • Digital elevation model
    • Hydrographic feature extraction
    • Hydrologic modeling
    • LiDAR
    • Stream networks
    • Terrain analysis

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