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<p>In the Koch Bihar district of West Bengal, there is a noticeable trend of intensified agricultural land use and expansion to meet the growing demand for food crops and other agricultural products. Block-level identification and mapping of suitable agricultural land are crucial for ensuring food security, resource optimisation, environmental protection and sustainable land use planning. The primary objective of the present work is to identify suitable land for agriculture in the Koch Bihar district&#xa0;with the help of several conditioning factors. Therefore, fifteen causal variables namely elevation, slope, geomorphology, lithology, soil texture, river density, rainfall, temperature, land use land cover (LULC), soil moisture index (SMI), topographic wetness index (TWI), groundwater depth (GWD), organic carbon, bulk density and soil pH were considered for the land suitability study. The Analytic Hierarchy Process (AHP) was used to assign&#xa0;their weights based on their relative importance. Weighted Overlay Analysis (WOA) on a GIS environment was carried out to create the final suitability map of the study area, which was classified into five categories: Highly suitable (11.02%), Moderately suitable (35.27), Marginally suitable (31.51%), Currently not suitable (18.99%), and Unsuitable (3.21%). 300 Ground Control Points (GCP) from the study area that represented a variety of topographical and land use conditions were examined for the model validation. The receiver operating characteristic (ROC) shows that the area under the curve (AUC) value is 0.885, representing a prediction accuracy of 88.50%. The applied AHP and GIS-based agricultural land suitability analysis serve to direct agricultural activities to areas with favourable physical and environmental conditions, optimising agricultural efficiency in rural areas while also enhancing non-agricultural uses in unsuitable areas with low efficiency and preventing construction and environmental pressures on suitable farmland, thereby contributing to improved land-use planning decisions.</p>

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Identification of suitable land for sustainable agricultural practices in Koch Bihar district, West Bengal: A RS-GIS based MCDA approach

  • 期刊论文

  • 发表日期：

    2025年5月5日

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  • Pritam Saha,
  • Shasanka Kumar Gayen

摘要

In the Koch Bihar district of West Bengal, there is a noticeable trend of intensified agricultural land use and expansion to meet the growing demand for food crops and other agricultural products. Block-level identification and mapping of suitable agricultural land are crucial for ensuring food security, resource optimisation, environmental protection and sustainable land use planning. The primary objective of the present work is to identify suitable land for agriculture in the Koch Bihar district with the help of several conditioning factors. Therefore, fifteen causal variables namely elevation, slope, geomorphology, lithology, soil texture, river density, rainfall, temperature, land use land cover (LULC), soil moisture index (SMI), topographic wetness index (TWI), groundwater depth (GWD), organic carbon, bulk density and soil pH were considered for the land suitability study. The Analytic Hierarchy Process (AHP) was used to assign their weights based on their relative importance. Weighted Overlay Analysis (WOA) on a GIS environment was carried out to create the final suitability map of the study area, which was classified into five categories: Highly suitable (11.02%), Moderately suitable (35.27), Marginally suitable (31.51%), Currently not suitable (18.99%), and Unsuitable (3.21%). 300 Ground Control Points (GCP) from the study area that represented a variety of topographical and land use conditions were examined for the model validation. The receiver operating characteristic (ROC) shows that the area under the curve (AUC) value is 0.885, representing a prediction accuracy of 88.50%. The applied AHP and GIS-based agricultural land suitability analysis serve to direct agricultural activities to areas with favourable physical and environmental conditions, optimising agricultural efficiency in rural areas while also enhancing non-agricultural uses in unsuitable areas with low efficiency and preventing construction and environmental pressures on suitable farmland, thereby contributing to improved land-use planning decisions.