2018
DOI: 10.5194/isprs-archives-xlii-5-29-2018
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Training, Education, Research and Capacity Building Needs and Future Requirements in Applications of Geospatial Technology for Water Resources Management

Abstract: <p><strong>Abstract.</strong> In India, water resources are managed at different levels, i.e. at central level by Ministry of Water Resources, River Development &amp;amp; Ganga Rejuvenation, Central Water Commission and Central Ground Water Board, at states level by state water resources departments, and at local level by Municipal Corporation and Panchayati Raj Institutions (PRIs). As per India’s national water policy of year 2012 focuses on adaption to climate change, enhancement of wat… Show more

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Cited by 8 publications
(7 citation statements)
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“…Similarly, highly urbanized catchments are affected by waterlogging and short-duration floods caused by high-intensity rainfall and inadequate drainage system. This necessity requires different types of geospatial data and hydrological models (Thakur et al 2018).…”
Section: Hydrological Modelingmentioning
confidence: 99%
See 1 more Smart Citation
“…Similarly, highly urbanized catchments are affected by waterlogging and short-duration floods caused by high-intensity rainfall and inadequate drainage system. This necessity requires different types of geospatial data and hydrological models (Thakur et al 2018).…”
Section: Hydrological Modelingmentioning
confidence: 99%
“…26.1). Therefore, RS, GIS, and global navigation satellite system (GNSS) play an important role in providing base data and suitable platforms for creating, analyzing, and modeling such geospatial data and hydrological variables for a given catchment (Sharma and Thakur 2007;Arya et al 2010;Kushwaha et al 2010;Pandey et al 2011;Thakur et al 2013Thakur et al , 2018.…”
Section: Introductionmentioning
confidence: 99%
“…There are dedicated institutes and departments funded by Indian Space Research Organisation to spread the potential of geospatial technology in water resources. Further details on such trainings can be found at Thakur et al, (2018). 7.…”
Section: Recommendations Of the Studymentioning
confidence: 99%
“…Barriers to the use of these data for decision making include large computational requirements, limited technical knowledge, numerous complex tools and data portals, lack of time and resources, minimal training and capacity building, and limited availability of operational products (Thakur et al. 2018; Prados et al. 2019).…”
Section: Introductionmentioning
confidence: 99%