Geospatial Approach for Integrated Command Area Management

Abstract

Among the goals set by the United Nations 2030 agenda for sustainable development to address the economic component of sustainable development goal (SDG) target 6.4, More Crop Per Drop happens to be the universal motto for using water more efficiently in the agricultural sector. A fool-proof, transparent, integrated approach across different governing sectors is essential to optimally allocate the limited available resources amid the competing agricultural activities. This study has attempted to integrate a linear programming model on a geospatial platform to develop a spatial decision support and management system for integrated command area management. The study shows that the geospatial approach enhances the visualization of conventional optimization outputs under different irrigation efficiencies and fixed water allocation conditions. The geomatic model highlights water-stressed regions with 45% and optimal cropping patterns at 57% irrigation efficiency. The spatial optimization technique suggests geographic distribution of optimal cropping patterns to attain more agricultural productivity per unit of water.