Multi-influencing factor (MIF) and RS–GIS-based determination of agriculture site suitability for achieving sustainable development of Sub-Himalayan region, India

Subham Roy (), Nimai Singha (), Arghadeep Bose (), Debanjan Basak () and Indrajit Roy Chowdhury ()
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Subham Roy: University of North Bengal
Nimai Singha: Cooch Behar Panchanan Barma University
Arghadeep Bose: University of North Bengal
Debanjan Basak: University of North Bengal
Indrajit Roy Chowdhury: University of North Bengal

Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, 2023, vol. 25, issue 7, No 51, 7133 pages

Abstract: Abstract Agriculture is the primary source of income in the Sub-Himalayan Jalpaiguri District; therefore, identifying the optimal use of existing agricultural land is crucial. The primary objective of this study is to identify potential agricultural sites in the Jalpaiguri District for the sustainable development of the region. About eleven parameters have been considered using the multi-influencing technique in combination with remote sensing (RS) and geographic information system to delineate and model potential agriculture sites. The final agriculture suitability map was created using the ‘Weighted Overlay technique,’ and the final output can be categorized into five classes, i.e., highly suitability (424.3 km2), moderately suitability (1191.8 km2), marginally suitable (1141.4 km2), currently not suitable (567.1 km2), and permanently not suitable (60.8 km2). Besides, the results have been thoroughly verified using Google Earth images, in comparison with Landsat 8 output, and field visits using GPS to increase the reliability of the results. The finding reveals potential outcomes for agricultural activity; however, building a sustainable management strategy and resilient farming practices should be adopted to boost the region’s agricultural output. Farmers, regional planners, and government officials can use the current agriculture suitability map to make comprehensive judgments for the region, such as determining the potential for agriculture sites, improving agricultural growth, and promoting self-reliant local economies. Graphical abstract

Keywords: Agricultural suitability; Remote sensing; GIS; Multi-influencing factor; Sustainable development goal; India (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1007/s10668-022-02360-0

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