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Article

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

1
Graduate School of Life and Environmental Sciences, University of Tsukuba, 1-1-1 Tennodai, Tsukuba 305-8572, Ibaraki, Japan
2
Department of Agricultural Extension (DAE), Khamarbari, Farmgate, Dhaka 1215, Bangladesh
*
Author to whom correspondence should be addressed.
Academic Editor: Piotr Prus
Sustainability 2021, 13(22), 12360; https://doi.org/10.3390/su132212360
Received: 22 September 2021 / Revised: 2 November 2021 / Accepted: 4 November 2021 / Published: 9 November 2021
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. View Full-Text
Keywords: Bangladesh’s coastal region; green gram land suitability; sustainable agriculture; Geographic Information System (GIS); Analytical Hierarchy Process (AHP) Bangladesh’s coastal region; green gram land suitability; sustainable agriculture; Geographic Information System (GIS); Analytical Hierarchy Process (AHP)
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MDPI and ACS Style

Hossen, B.; Yabar, H.; Mizunoya, T. Land Suitability Assessment for Pulse (Green Gram) Production through Remote Sensing, GIS and Multicriteria Analysis in the Coastal Region of Bangladesh. Sustainability 2021, 13, 12360. https://doi.org/10.3390/su132212360

AMA Style

Hossen B, Yabar H, Mizunoya T. Land Suitability Assessment for Pulse (Green Gram) Production through Remote Sensing, GIS and Multicriteria Analysis in the Coastal Region of Bangladesh. Sustainability. 2021; 13(22):12360. https://doi.org/10.3390/su132212360

Chicago/Turabian Style

Hossen, Billal, Helmut Yabar, and 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 13, no. 22: 12360. https://doi.org/10.3390/su132212360

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