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A Multi-Criteria Decision-Making Approach for Land Suitability Assessment for Tea Cultivation in Hilly Aizawl District in Mizoram, India

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Advancement of GI-Science and Sustainable Agriculture

Abstract

Geographic Information System (GIS) can be a strong tool for determining the environmental limitations of sustainable tea cultivation. Aizawl, a hilly district, is mostly covered by steep slopes and considered unsuitable for intensive agricultural practices. The present chapter attempts to find the potential land suitability for tea cultivation in Aizawl using geospatial technology. In this regard, raster information of topographic, climatic, hydrological, and soil properties have been intergraded into the GIS environment. A subjective ranking method has been implemented for weightage measurements of those different properties. Then, a relatively new multi-criteria decision-making approach, Combined Compromise Solution (CoCoSo), is used for the desired solution. After that, the suitability classes are divided into five potential classes using the natural breaking method. The result reveals that around a quarter of the total area is very highly suitable (23.74%) for tea cultivation, followed by high (34.89%), moderate (26.34%), low (12.05%), and very low (2.98%) suitability areas. While the very highly suitable areas are found on the steep slopes, the very low suitability areas are located on the area’s central and eastern sides. Due to insufficient ground information, it has yet to be possible to implement proper validation methods. Farmers’ perception and location of existing Jhum land are used to validate the Kappa coefficient, which is 87.27%. The present chapter will be helpful for policymakers and the agricultural department for proper economic development in the district.

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Correspondence to Jonmenjoy Barman .

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Barman, J., Das, P. (2023). A Multi-Criteria Decision-Making Approach for Land Suitability Assessment for Tea Cultivation in Hilly Aizawl District in Mizoram, India. In: Das, J., Halder, S. (eds) Advancement of GI-Science and Sustainable Agriculture. GIScience and Geo-environmental Modelling. Springer, Cham. https://doi.org/10.1007/978-3-031-36825-7_9

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