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Land Suitability Assessment for Pulse (Green Gram) Production through Remote Sensing, GIS and Multicriteria Analysis in the Coastal Region of Bangladesh

Author

Listed:
  • Billal Hossen

    (Graduate School of Life and Environmental Sciences, University of Tsukuba, 1-1-1 Tennodai, Tsukuba 305-8572, Ibaraki, Japan
    Department of Agricultural Extension (DAE), Khamarbari, Farmgate, Dhaka 1215, Bangladesh)

  • Helmut Yabar

    (Graduate School of Life and Environmental Sciences, University of Tsukuba, 1-1-1 Tennodai, Tsukuba 305-8572, Ibaraki, Japan)

  • Takeshi Mizunoya

    (Graduate School of Life and Environmental Sciences, University of Tsukuba, 1-1-1 Tennodai, Tsukuba 305-8572, Ibaraki, Japan)

Abstract

The agricultural potential of Bangladesh’s coastal region has been threatened by the impact of climate change. Pulse crops with high nutritional value and low production costs such as green gram constitute an important component of a healthy and accessible diet for the country. In order to optimize the production of this important staple, this research aims to promote climate-smart agriculture by optimizing the identification of the appropriate land. The objective of this research is to investigate, estimate, and identify the suitable land areas for green gram production based on the topography, climate, and soil characteristics in the coastal region of Bangladesh. The methodology of the study included a Geographic Information System (GIS) and the Multicriteria Decision-Making approach: the Analytical Hierarchy Process (AHP). Datasets were collected and prepared using Landsat 8 imagery, the Center for Hydrometeorology and Remote Sensing (CHRS) data portal and the Bangladesh Agricultural Research Council. All the datasets were processed into raster images and then reclassified into four classes: Highly Suitable (S1), Moderately Suitable (S2), Marginally Suitable (S3), and Not Suitable. Then, the AHP results were applied to produce a final green gram suitability map with four classes of suitability. The results of the study found that 12% of the coastal area (344,619.5 ha) is highly suitable for green gram production, while the majority of the land area (82.3% of the area) shows moderately suitable (S2) land. The sensitivity analysis results show that 3.3%, 63.4%, 28.0%, and 1.2% of the study area are S1, S2, S3, and NS, respectively. It is also found that the highly suitable land area belongs mostly to the southeastern part of the country. The result of this study can be utilized by policymakers to adopt a proper green gram production strategy, providing special agricultural incentive policies in the highly suitable area as a provision for the increased food production of the country.

Suggested Citation

  • Billal Hossen & Helmut Yabar & Takeshi Mizunoya, 2021. "Land Suitability Assessment for Pulse (Green Gram) Production through Remote Sensing, GIS and Multicriteria Analysis in the Coastal Region of Bangladesh," Sustainability, MDPI, vol. 13(22), pages 1-24, November.
  • Handle: RePEc:gam:jsusta:v:13:y:2021:i:22:p:12360-:d:675197
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    References listed on IDEAS

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    1. Amireeta Rawlani & Benjamin Sovacool, 2011. "Building responsiveness to climate change through community based adaptation in Bangladesh," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 16(8), pages 845-863, December.
    2. Riska Ayu Purnamasari & Tofael Ahamed & Ryozo Noguchi, 2019. "Land suitability assessment for cassava production in Indonesia using GIS, remote sensing and multi-criteria analysis," Asia-Pacific Journal of Regional Science, Springer, vol. 3(1), pages 1-32, February.
    3. Nazia Muhsin & Tofael Ahamed & Ryozo Noguchi, 2018. "GIS-based multi-criteria analysis modeling used to locate suitable sites for industries in suburban areas in Bangladesh to ensure the sustainability of agricultural lands," Asia-Pacific Journal of Regional Science, Springer, vol. 2(1), pages 35-64, April.
    4. Ying, Xiong & Zeng, Guang-Ming & Chen, Gui-Qiu & Tang, Lin & Wang, Ke-Lin & Huang, Dao-You, 2007. "Combining AHP with GIS in synthetic evaluation of eco-environment quality—A case study of Hunan Province, China," Ecological Modelling, Elsevier, vol. 209(2), pages 97-109.
    5. Yoram Wind & Thomas L. Saaty, 1980. "Marketing Applications of the Analytic Hierarchy Process," Management Science, INFORMS, vol. 26(7), pages 641-658, July.
    6. Thomas L. Saaty & Luis G. Vargas, 2012. "Models, Methods, Concepts & Applications of the Analytic Hierarchy Process," International Series in Operations Research and Management Science, Springer, edition 2, number 978-1-4614-3597-6, April.
    7. Lalit Kumar & Subhashni Taylor, 2015. "Exposure of coastal built assets in the South Pacific to climate risks," Nature Climate Change, Nature, vol. 5(11), pages 992-996, November.
    8. Saaty, Thomas L., 1990. "How to make a decision: The analytic hierarchy process," European Journal of Operational Research, Elsevier, vol. 48(1), pages 9-26, September.
    9. K. Rezaei-Moghaddam & E. Karami, 2008. "A multiple criteria evaluation of sustainable agricultural development models using AHP," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 10(4), pages 407-426, August.
    10. Md Monjurul Islam & Tofael Ahamed & Ryozo Noguchi, 2018. "Land Suitability and Insurance Premiums: A GIS-based Multicriteria Analysis Approach for Sustainable Rice Production," Sustainability, MDPI, vol. 10(6), pages 1-28, May.
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