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Remote Sensing and Geographic Information System based Spatial Water Budget Assessment in Major Crops of a Semi-arid Region in India

Authors

  • P. L. Deshmukh Department of Soil and Water Conservation Engineering, Dr. Annasaheb Shinde College of Agricultural Engineering & Technology, MPKV, Rahuri, Maharashtra, India Author
  • S. Adamala Division of Land Use Planning, ICAR-National Bureau of Soil Survey & Land Use Planning, Nagpur, Maharashtra, India Author
  • A. B. Dongare Department of Irrigation and Drainage Engineering, Dr. Annasaheb Shinde College of Agricultural Engineering & Technology, MPKV, Rahuri, Maharashtra, India Author
  • S. R. Deshmukh Department of Irrigation and Drainage Engineering, Dr. Annasaheb Shinde College of Agricultural Engineering & Technology, MPKV, Rahuri, Maharashtra, India Author
  • Ch. Jyotiprava Dash Division of Land Use Planning, ICAR-National Bureau of Soil Survey & Land Use Planning, Nagpur, Maharashtra, India Author
  • H. Biswas Division of Land Use Planning, ICAR-National Bureau of Soil Survey & Land Use Planning, Nagpur, Maharashtra, India Author

DOI:

https://doi.org/10.52151/jae2026633.2022

Keywords:

crop water demand, evapotranspiration, irrigation planning, land use/land cover, soil water storage

Abstract

Water budgeting is essential for efficient water resource management especially in semi-arid and drought-prone regions of the world such as Ahilyanagar district of Maharashtra state, which lies in the rain-shadow zone of the Western Ghats in India. This study assessed water budget components spatially using remote sensing and geographic information system (GIS) techniques to support sustainable water management and agricultural decision-making. In this study, rainfall data of 14 rain gauge stations and temperature data of five meteorological stations for 13-year period (2003-2015) were integrated spatially to estimate reference evapotranspiration (ET₀), crop evapotranspiration (ETc), surface runoff, and soil water storage. Land use/land cover (LULC) analysis revealed that agricultural land dominated with 75.4% area, while soil texture is largely composed of clay (66.9%) and loamy soils (32.6%), which strongly influenced infiltration capacity, runoff generation, and soil moisture retention. The mean annual rainfall exhibited notable spatial variability (458-877 mm), with annual runoff ranging from 100 to 332 mm, representing approximately 2.7%-33.0% of the total rainfall. The ET₀ varied between 1724 and 1979 mm, indicating high atmospheric water demand across the study area. Estimates of the crop water demand showed significant deficits for water-intensive crops such as sugarcane (1610-1710 mm), rice (777-887 mm) and cotton (635-703 mm), whereas low water demanding crops such as pearl millet, chickpea, black gram, and green gram typically required less than 350 mm water and were found more suitable for water deficit areas. Overall, the results demonstrated that GIS-based spatial water balance modeling is an effective tool for delineating water-stressed zones, optimizing irrigation strategies, guiding crop selection, and promoting long-term sustainable water resource management in semi-arid and drought-affected landscapes.

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Published

2026-07-04

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Regular Issue

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How to Cite

Deshmukh, P. L., Adamala, S., Dongare, A. B., Deshmukh, S. R., Dash, C. J., & Biswas, H. (2026). Remote Sensing and Geographic Information System based Spatial Water Budget Assessment in Major Crops of a Semi-arid Region in India. Journal of Agricultural Engineering (India), 63(3). https://doi.org/10.52151/jae2026633.2022