Journal
ENVIRONMENTAL MODELLING & SOFTWARE
Volume 58, Issue -, Pages 48-57Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.envsoft.2014.04.005
Keywords
Hydrographic feature extraction; Hydrologic modeling; Stream networks; LiDAR; Digital elevation model; Terrain analysis
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Funding
- National Science Foundation Idaho EPSCoR Program [EPS-814387]
- NOAA OAR Earth Systems Research Laboratory/Physical Sciences Division (ESRL/PSD) [NA09OAR4600221]
- FCT [SFRH/BD/69654/2010]
- Fundação para a Ciência e a Tecnologia [SFRH/BD/69654/2010] Funding Source: FCT
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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. (C) 2014 Elsevier Ltd. All rights reserved.
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