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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/15177
Title: Uncertainty analysis of soil erosion modelling using different resolution of open-source DEMs
Authors: Mondal A.
Khare, Deepak
Kundu S.
Published in: Geocarto International
Abstract: The Digital Elevation Model (DEM) is one of the important parameters of soil erosion assessment and notable uncertainties are found in using different resolutions of the DEM. Revised Universal Soil Loss Equation model has been applied to analyze the effect of open-source DEMs with different resolution and accuracy on the uncertainties of soil erosion modelling in a part of the Narmada river basin in Madhya Pradesh in central India. Selected open-source DEMs are GTOPO30 (1 km), SRTM (30 and 90 m), CARTOSAT (30 m) and ASTER (30 m), used for estimating erosion rate. Results with better accuracy are achieved with the high-resolution DEMs (30 m) with higher vertical accuracy than the coarse resolution DEMs with lower accuracy. This study has presented potential uncertainties introduced by the open-source DEMs in soil erosion modelling for better understanding of appropriate selection and acceptable errors for researchers. © 2016 Taylor & Francis.
Citation: Geocarto International (2017), 32(3): 334-349
URI: https://doi.org/10.1080/10106049.2016.1140822
http://repository.iitr.ac.in/handle/123456789/15177
Issue Date: 2017
Publisher: Taylor and Francis Ltd.
Keywords: accuracy
DEM
RUSLE
soil erosion
uncertainty
ISSN: 10106049
Author Scopus IDs: 56185631400
14060295600
56185410500
Author Affiliations: Mondal, A., Department of Water Resources Development & Management, Indian Institute of Technology, Roorkee, India
Khare, D., Department of Water Resources Development & Management, Indian Institute of Technology, Roorkee, India
Kundu, S., Department of Water Resources Development & Management, Indian Institute of Technology, Roorkee, India
Funding Details: The authors are thankful to the National Remote Sensing Centre (NRSC) for the satellite data and CARTOSAT DEM, Indian Meteorological Department (IMD) for the rainfall data, National Bureau of Soil Science (NBSS) for soil data and to the Central Water Comm
Corresponding Author: Mondal, A.; Department of Water Resources Development & Management, Indian Institute of TechnologyIndia; email: arun.iirs@gmail.com
Appears in Collections:Journal Publications [WR]

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