Crop Pattern Change and Crop Water Requirement Judgment using Remote Sensing and GIS Techniques: a Research on Tungabhadra Dam Right Canal
Arunkumar Yadav1, Hafeezunnisa2, Pramod Kumar Kappadi3
1Arunkumar Yadav, P.G. Student, KSRSAC, Visvesvaraya, Technological University, Regional Centre Bengaluru (Karnataka), India.
2Hafeezunnisa, Assistant Engineer, Department of Geometica, WRDO Bangalore (Karnataka), India.
3Pramod Kumar Kappadi, Research Scholar, National Institute of Technology, Karnataka, Surathkal, Mangalore (Karnataka), India.
Manuscript received on 19 July 2019 | Revised Manuscript received on 03 August 2019 | Manuscript Published on 10 August 2019 | PP: 652-657 | Volume-8 Issue-2S3 July 2019 | Retrieval Number: B11200782S319/2019©BEIESP | DOI: 10.35940/ijrte.B1120.0782S319
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Agriculture is most important resources of any country worldwide which is a major renewable source and is dynamic. The study area selected was command area under Basavanna canal which is one of the canals to Tungabhadra river on right side bank. This selected canal for cropping pattern analysis has a command of 1240.00 hectare and is located at Vallabhpur, Bellary district. Basavanna canal has a designed discharge capacity of 125 cusecs for serving the cropping area. Every irrigation project has planned cropping pattern, the crop water requirement (CWR) for which is calculated based on Duty / Delta method. However due to growing population and increase demand for food products crop violation is found in every command leading to more irrigation. Remote Sensing (RS) and Geographical Information System (GIS) techniques have emerged as powerful tools for crop water management. Remotely sensed land use-land cover data was used for analysing the cropping pattern in the area and also to estimate the change in the cropping pattern. This study was performed using ArcGIS 9.3 and ERDAS 9 software. Crop water requirement was calculated using Modified Penman Equation for present cropping pattern. The study finds that, approximately 50% of water could be saved using modified Penmen method compared to crop water requirement calculated using Duty Delta method as adopted in project report and the same water may be diverted to meet other needs.
Keywords: Crop Water Requirement, Crop Pattern, Crop Violation, Remote Sensing and Geographical Information System.
Scope of the Article: Remote Sensing, GIS and GPS