Total views : 268

Assessment of Irrigation and Agriculture Potential of the Krishna River Basin using Geospatial Techniques


  • Symbiosis Institute of Geoinformatics, Symbiosis International University, Atur Centre, Gokhale Cross Road, Model Colony, Pune – 411016, Maharashtra, India
  • Symbiosis Institute of Computer Studies and Research, Symbiosis International University, Atur Centre, Gokhale Cross Road, Model Colony, Pune – 411016, Maharashtra, India


Objectives: The objective of present work is an assessment of the irrigation potential of the canal network located over the Krishna River basin in Sangli district of Maharashtra and also the requirement of water in the crops lying in that region. Methods/Statistical analysis: Irrigation potential of the canals was calculated using the canal length derived from high resolution CARTOSAT-1 whereas for calculating the agriculture potential other factors such as Rainfall, Temperature, Soil type, Elevation, Water holding capacity were used. Findings: The study reveals that, Balance IP is estimated to be 526.801ha from the proposed IP and Satellite IP. Gaps are present in the minors and distributaries due to land acquisition problem. From results it can also be concluded that the major amount of Kharif crops lie at the higher elevation and the soil has comparatively low water holding capacity whereas Rabi crops lie at a lower elevation and the soil has comparatively higher capacity to hold water. Double crops or perennial crops are observed to grow near the canals. They are usually seemed to be grown on medium to low-lying areas and they have high water holding capacity. Due to irrigation, these crops are highly benefited. Application/Improvements: Irrigation is the efficient usage of fresh water, and with the growing scarcity of this essential natural resource, it is becoming increasingly important to maximize efficiency of water usage. It implies accurate management of irrigation and control of application depths in order to apply water effectively according to crop needs. Assessing irrigation and agriculture potential is an important activity in successful agriculture management.


Agriculture Potential, Evapotranspiration, GIS, India, Irrigation Potential.

Full Text:

 |  (PDF views: 251)


  • Himanshu Thakkar. Report on South Asia Network on dams, rivers and people, India. World Commission on Dams Thematic Review: Assessment of Irrigation Options in India; Draft #1; 08 November 1999.
  • Krishna Reddy Chittedi and Praveen Kumar Bayya. Public expenditure on irrigation and its impact on agriculture production: evidence from Indian State. Munich Personal RePEc Archive; 2012.
  • Smith M. The application of climatic data for planning and management of sustainable rainfed and irrigated crop production. Agricultural and Forest Meteorology. 2000; 103: 99–108.
  • Smith M. CROPWAT A Computer Program for Irrigation Planning and Management. FAO Irrigation and Drainage Paper 26. Rome; 1992. p. 126.
  • Smith M. CLIMWAT for CROPWAT, A Climatic Database for Irrigation Planning and Management. FAO Irrigation and Drainage Paper 49. Rome; 1993. p. 113.
  • Ahmad SR, Ahmad U and Masood A. Geo-Spatial techniques in selection of potential dam site. Pakistan Journal of Science. 2013; 65(1).
  • F. A. Abd El-Salam, M. I. El-Saftawy. Second Order Constraints in the Theory of Invariant Relative Orbits Including Relativistic and Direct Solar Radiation Pressure Effects. Indian Journal of Science and Technology. 2012 Sep; 5(9). DOI no:10.17485/ijst/2012/v5i9/30666
  • V. K. Marwal, R. C. Punia, N. Sengar, S. Mahawar, P. Dashora. A comparative study of correlation functions for estimation of monthly mean daily global solar radiation for Jaipur, Rajasthan (India). Indian Journal of Science and Technology. 2012 May; 5(5). DOI no:10.17485/ijst/2012/v5i5/30451
  • B. Gurugnanam, M. Suresh, M. Vinoth, S. Kumaravel. High/low rainfall domain mapping using GIS at Salem District, Tamil Nadu, India. Indian Journal of Science and Technology. 2010 May; 3(5). DOI no: 10.17485/ijst/2010/v3i5/29750
  • Pramod Kumar Meena, Deepak Khare, Rituraj Shukla, P. K. Mishra. Long term trend analysis of mega cities in Northern India using rainfall data. Indian Journal of Science and Technology. 2015 Feb; 8(3). DOI no: 10.17485/ijst/2015/v8i3/59580
  • Ray SS. Remote Sensing Applications: Indian Experience. p. 251–264.
  • Biggs TW, Gaur A, Scott CA, Gangadhararao, Parthasaradhi, Gumma, MK, S. Acharya and Turral H. Closing of the Krishna basin: summary of research, hydronomic zones and water accounting. IWMI Research Report 111. Colombo: IWMI; 2007. p. 38.
  • Venot JP, Turral H, Samad M, Molle F. Shifting waterscapes: explaining basin closure in the Lower Krishna Basin, South India. IWMI Research Report 121. Colombo: IWMI; 2007.
  • De Rosnay P, Polcher J, Laval K, and Sabre M. Integrated parameterization of irrigation in the land surface model ORCHIDEE: Validation over Indian Peninsula. Geophys 2003. Res. Lett., 30.
  • Haddeland I, Lettenmaier DP, and Skaugen, T. Effects of irrigation on the water and energy balances of the Colorado and Mekong river basins, Journal of Hydrology. 2006; 324: 210–223.
  • Hargreaves G. Simplified coefficients for estimating monthly solar radiation in North America and Europe. Departmental Paper, Department of Biology and Irrigation Engineering, Utah State University. Logan, Utah; 1994.
  • Allen A, Pereira D, Raes M, Smith. Crop evapotranspiration - Guidelines for computing crop water requirements. FAO Irrigation and drainage paper 56. 1998; p. 1–15.
  • Bos MG. Using the Depleted Fraction to Manage the Groundwater Table in Irrigated Areas. Irrigation and Drainage Systems. The Netherlands: Kluwer Academic Publishers; 2004; 18: 201–209.
  • Jorge Rocha, Antonio Perdigaob, Raquel Meloa , Cristina Henriquesh. Managing water in agriculture through remote sensing applications. Remote Sensing for Science, Education of Natural and Cultural Heritage. 2010: 223–229.
  • Philip GM, and Watson DF. A precise method for determining contoured surfaces. Australian Petroleum Exploration Association Journal.1982; (22): 205–212.
  • Watson DF, and Philip GM. A refinement of inverse distance weighted interpolation. Geoprocessing. 1985; 2: 315–327.
  • Max Strain. Soil and water-holding capacity. Proceedings and resource guide people, prairies, and plains N.E.H. Summer Teachers' Institute on Environmental History for K-12 Teachers in the Science and Humanities; 1997.
  • Paruelo JM, Epstein HE, Lauenroth WK, and Burke IC. ANPP estimates from NDVI for the central grassland region of the United States. Ecology. 1997; 78: 953–958.
  • Rahman AF, Gamon JA, Sims DA, and Schmidts M. Optimum pixel size for hyperspectral studies of ecosystem function in Southern California chaparral and grassland. Remote Sensing of Environment. 2003; 84: 192–207.


  • There are currently no refbacks.

Creative Commons License
This work is licensed under a Creative Commons Attribution 3.0 License.