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作者机构:Water Resource Group National Remote Sensing Centre Indian Space Research Organisation Bengaluru India Water Resource Group National Remote Sensing Centre Indian Space Research Organisation Hyderabad India Jawaharlal Nehru Technological University Hyderabad Hyderabad India Western Sydney University Penrith NSW Australia Indian Institute of Science Bengaluru India S.J. College of Engineering JSS Science and Technology University Mysuru India GB Pant University of Agriculture and Technology Udham Singh Nagar India School of Civil Mining and Environmental Engineering University of Wollongong Wollongong Australia
出 版 物:《World Water Policy》 (World. Water. Policy.)
年 卷 期:2023年第9卷第3期
页 面:388-403页
基 金:Australian University Librarians Central Water Commission Irrigation and Command Area Development Department Telangana State Government Department of Water Resources, DWR, (RD&GR) Department of Water Resources, DWR Department of Foreign Affairs and Trade, Australian Government, DFAT University of Western Sydney, UWS Ministry of Jal Shakti National Remote Sensing Centre, NRSC
主 题:GIS tools land suitability for cultivation multicriteria decision analysis YWP training
摘 要:Improving irrigation infrastructure is important for sustaining food security in developing countries like India. The irrigation potential of a system is estimated at the planning phase using conventional approaches. A mismatch in the irrigation potential planned to be created and the land suitable for cultivation can lead to a gap in the irrigation potential created and utilized, making the scheme unrealistic and uneconomical. This study aims to use geospatial data and geographic information system (GIS) tools to identify land suitable for cultivation when planning an irrigation system. This study was conducted in Telangana State in India, where the projected irrigation potential creation was 5 million ha (Mha). It was observed that the total land suitable for cultivation in the state, considering the soil s topography, and physical and chemical characteristics, is about 6 Mha. Time series of average monthly Normalised Difference Vegetation Index (NDVI) over a 10-year period was used to identify the critical blocks. The study illustrates how the geospatial data derived from remote sensing and recent GIS tools can aid managers in planning, implementing, and monitoring irrigation projects. The study also demonstrates how long-term satellite information can be used for regional prioritizationprioritisation for constructing irrigation infrastructure and postconstruction impact assessment. This study was conducted as part of the Young Water Professions (YWP) Training program, which allowed the participants to develop professional competencies and implement their learning in real-world situations. © 2023 The Authors. World Water Policy published by Wiley Periodicals LLC on behalf of Policy Studies Organization.