2015
DOI: 10.1007/s13201-015-0354-3
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Morphometric evaluation of Swarnrekha watershed, Madhya Pradesh, India: an integrated GIS-based approach

Abstract: The quantitative analysis of the watershedis vital to understand the hydrological setup of any terrain. The present study deals with quantitative evaluation of Swarnrekha Watershed, Madhya Pradesh, India based on IRS satellite data and SRTM DEM. Morphometric parameters of the watershed were evaluated by computations of linear and areal aspect using standard methodology in GIS environment. ARC GIS software was utilized for morphometric component analysis and delineation of the watershed using SRTM digital eleva… Show more

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Cited by 39 publications
(13 citation statements)
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“…The fast emerging Geospatial technology (GT) viz. remote sensing, GIS, and GPS have been used as an effective tool to overcome most of the problems of land and water resources planning and management on the account of usage of conventional methods of data process Soni et al 2013;Banerjee et al 2015). Geographical information system (GIS) technique is used for assessing various terrain and morphometric characteristics of drainage basin, as they provide a powerful tool for manipulation and analysis of spatial information particularly for the future identification and extraction of the information for better understanding (Vijith and Satheesh 2006).…”
Section: Introductionmentioning
confidence: 99%
“…The fast emerging Geospatial technology (GT) viz. remote sensing, GIS, and GPS have been used as an effective tool to overcome most of the problems of land and water resources planning and management on the account of usage of conventional methods of data process Soni et al 2013;Banerjee et al 2015). Geographical information system (GIS) technique is used for assessing various terrain and morphometric characteristics of drainage basin, as they provide a powerful tool for manipulation and analysis of spatial information particularly for the future identification and extraction of the information for better understanding (Vijith and Satheesh 2006).…”
Section: Introductionmentioning
confidence: 99%
“…Some of the fascinating researches on morphometric evolution using satellite data were also completed by Nautiyal (1994), Srivastava (1997), Nag (1998), Srinivasa et al (2004), Ali et al (2017) and Rai et al (2017b). More recently, Singh et al (2013Singh et al ( , 2014, Sreedevi et al (2005Sreedevi et al ( , 2009Sreedevi et al ( , 2013, Rai et al (2014), Rai et al (2017a, b), Banerjee et al (2015) and Asode et al (2016) have calculated morphometric analysis for Indian rivers using DEM data and GIS.…”
Section: Introductionmentioning
confidence: 99%
“…The hydrological response of watersheds is interrelated with their physiographic characteristics, such as size, shape, slope, drainage density, and length of the streams (Gregory and Walling 1973). Recent studies demonstrated that quantitative morphometric analysis has several practical applications that include land surface form characterization (Reddy et al 2004; Thomas et al 2012;Magesh et al 2013;Kaliraj et al 2014;Banerjee et al 2015), watershed prioritization for soil and water conservation (Gajbhiye et al 2014;Meshram and Sharma 2015), environmental assessment (Magesh et al 2011;Al-Rowaily et al 2012;Rai et al 2014;Babu et al 2016), and evaluation and management of watershed resources (Pandey et al 2004). Furthermore, comparison of the quantitative morphometric parameters helps understand the geomorphological effects on the spatial variation of hydrological functions (Romshoo et al 2012;Sreedevi et al 2013).…”
Section: Introductionmentioning
confidence: 99%
“…Integrating remote sensing data and GIS tools, therefore, allow automated computation of morphometric parameters and have been successfully employed by several researchers (e.g., Magesh et al 2011;Thomas et al 2012;Kaliraj et al 2014;Banerjee et al 2015;Roy and Sahu 2016) for generating updated and reliable information to characterize watershed physiographic attributes.…”
Section: Introductionmentioning
confidence: 99%