Hydrological inferences from watershed analysis for water resource management using remote sensing and GIS techniques

The present study highlights the importance of Digital Elevation Model (DEM) and satellite images for assessment of drainage and extraction of their relative parameters for the Orr watershed Ashok Nagar district, M.P., India. Hydrological parameters such as drainage analysis, topographic parameters...

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Main Authors: Prafull Singh, Ankit Gupta, Madhulika Singh
Format: Article
Language:English
Published: Elsevier 2014-12-01
Series:Egyptian Journal of Remote Sensing and Space Sciences
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S1110982314000271
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author Prafull Singh
Ankit Gupta
Madhulika Singh
author_facet Prafull Singh
Ankit Gupta
Madhulika Singh
author_sort Prafull Singh
collection DOAJ
description The present study highlights the importance of Digital Elevation Model (DEM) and satellite images for assessment of drainage and extraction of their relative parameters for the Orr watershed Ashok Nagar district, M.P., India. Hydrological parameters such as drainage analysis, topographic parameters and land use pattern were evaluated and interpreted for watershed management of the area. Hydrological module of ARC GIS software was utilized for calculation and delineation of the watershed and morphometric analysis of the watershed using SRTM DEM. The stream order of watershed ranges from first to sixth order showing dendritic type drainage network which is a sign of the homogeneity in texture and lack of structural control of the watershed. The drainage density in the area has been found to be low to medium which indicates that the area possesses highly permeable soils and low relief. The bifurcation ratio varies from 4.74 to 5 and the elongation ratio is 0.58 which reveals that the basin belongs to the elongated shaped basin category. The mean Rb of the entire basin is 4.62 which indicates that the drainage pattern is not much influenced by geological structures. Land use map of the watershed was generated from latest available multispectral satellite data and whole watershed covers under agricultural land, settlement, fallow land, forest, mining areas and water body. The present study reveals that SRTM DEM based hydrological evaluation at watershed scale is more applied and precise compared to other available techniques.
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spelling doaj.art-49480d4de27849e88056d1724d3c8aa92022-12-21T22:21:58ZengElsevierEgyptian Journal of Remote Sensing and Space Sciences1110-98232014-12-0117211112110.1016/j.ejrs.2014.09.003Hydrological inferences from watershed analysis for water resource management using remote sensing and GIS techniquesPrafull SinghAnkit GuptaMadhulika SinghThe present study highlights the importance of Digital Elevation Model (DEM) and satellite images for assessment of drainage and extraction of their relative parameters for the Orr watershed Ashok Nagar district, M.P., India. Hydrological parameters such as drainage analysis, topographic parameters and land use pattern were evaluated and interpreted for watershed management of the area. Hydrological module of ARC GIS software was utilized for calculation and delineation of the watershed and morphometric analysis of the watershed using SRTM DEM. The stream order of watershed ranges from first to sixth order showing dendritic type drainage network which is a sign of the homogeneity in texture and lack of structural control of the watershed. The drainage density in the area has been found to be low to medium which indicates that the area possesses highly permeable soils and low relief. The bifurcation ratio varies from 4.74 to 5 and the elongation ratio is 0.58 which reveals that the basin belongs to the elongated shaped basin category. The mean Rb of the entire basin is 4.62 which indicates that the drainage pattern is not much influenced by geological structures. Land use map of the watershed was generated from latest available multispectral satellite data and whole watershed covers under agricultural land, settlement, fallow land, forest, mining areas and water body. The present study reveals that SRTM DEM based hydrological evaluation at watershed scale is more applied and precise compared to other available techniques.http://www.sciencedirect.com/science/article/pii/S1110982314000271Remote sensingGISHydrological inferencesWatershed management
spellingShingle Prafull Singh
Ankit Gupta
Madhulika Singh
Hydrological inferences from watershed analysis for water resource management using remote sensing and GIS techniques
Egyptian Journal of Remote Sensing and Space Sciences
Remote sensing
GIS
Hydrological inferences
Watershed management
title Hydrological inferences from watershed analysis for water resource management using remote sensing and GIS techniques
title_full Hydrological inferences from watershed analysis for water resource management using remote sensing and GIS techniques
title_fullStr Hydrological inferences from watershed analysis for water resource management using remote sensing and GIS techniques
title_full_unstemmed Hydrological inferences from watershed analysis for water resource management using remote sensing and GIS techniques
title_short Hydrological inferences from watershed analysis for water resource management using remote sensing and GIS techniques
title_sort hydrological inferences from watershed analysis for water resource management using remote sensing and gis techniques
topic Remote sensing
GIS
Hydrological inferences
Watershed management
url http://www.sciencedirect.com/science/article/pii/S1110982314000271
work_keys_str_mv AT prafullsingh hydrologicalinferencesfromwatershedanalysisforwaterresourcemanagementusingremotesensingandgistechniques
AT ankitgupta hydrologicalinferencesfromwatershedanalysisforwaterresourcemanagementusingremotesensingandgistechniques
AT madhulikasingh hydrologicalinferencesfromwatershedanalysisforwaterresourcemanagementusingremotesensingandgistechniques