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Article Title :

Multi-criteria Land Suitability Analysis for Agriculture in Semi-Arid Region of Kadapa District, Southern India: Geospatial Approaches

Remote Sensing of Land

5 (2021)



Agriculture , AHP , GIS , Land Suitability , Remote Sensing

Crossref citations: 18
Views: 71
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This research proposes an integrated methodology for incorporating RS, GIS and AHP techniques for the assessment of agricultural land suitability. In Kadapa district, Andhra Pradesh, India, study is being done on how to best promote agriculture as a source of income to boost the economy of the region. A combined RS, GIS and AHP techniques has been utilized that incorporates organizing AHP hierarchy, criteria specification, pairwise comparison, and criterion map preparation. Land suitability comparison showed that an area of 4.42 km2 (2.62%) is appropriate for irrigation, while an area of 54.39 km2 (32.33%) is appropriate moderately suitable for rainfed agriculture and 95.76 km2 (56.93%) is marginally suitable for agricultural productions. About 13.64 km2 (8.11%) land is currently not suitable for agricultural production. Additionally, the analysis clearly shows the necessity of a decrease in irrigated agricultural land and an increase in dry farm agricultural land. This application of RS, GIS and AHP based agricultural land suitability analysis is helpful in referring agricultural activities to the areas with good physical and environmental conditions, allowing maximum agricultural efficiency in the countryside, increasing non-agricultural uses in areas with low efficiency, and avoiding the construction and environmental pressures on suitable farmland.

RS, GIS and AHP were used to assess land suitability for Agriculture production.

Assigned scores of sub-criterions were based on literature survey and field work.

About 2.62% of the research area was found highly suitable for agricultural production.

Integrated RS, GIS and AHP approaches were found effective in assessing the land suitability.


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Rajasekhar, M., Sudarsana Raju, G., Siddi Raju, R. and Imran Basha U., 2017. Landuse and landcover analysis using remote sensing and GIS: A case study in Uravakonda, Anantapur District, Andhra Pradesh, India. International Research Journal of Engineering and Technology (IRJET), 4(9), 780-785


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