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

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...

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Autores principales:	Billal Hossen, Helmut Yabar, Takeshi Mizunoya
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	Bangladesh’s coastal region green gram land suitability sustainable agriculture Geographic Information System (GIS) Analytical Hierarchy Process (AHP) Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350
Acceso en línea:	https://doaj.org/article/8ca9e8714f424409a70cfabf4eceeaca
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spelling	oai:doaj.org-article:8ca9e8714f424409a70cfabf4eceeaca2021-11-25T19:00:25ZLand Suitability Assessment for Pulse (Green Gram) Production through Remote Sensing, GIS and Multicriteria Analysis in the Coastal Region of Bangladesh10.3390/su1322123602071-1050https://doaj.org/article/8ca9e8714f424409a70cfabf4eceeaca2021-11-01T00:00:00Zhttps://www.mdpi.com/2071-1050/13/22/12360https://doaj.org/toc/2071-1050The 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.Billal HossenHelmut YabarTakeshi MizunoyaMDPI AGarticleBangladesh’s coastal regiongreen gram land suitabilitysustainable agricultureGeographic Information System (GIS)Analytical Hierarchy Process (AHP)Environmental effects of industries and plantsTD194-195Renewable energy sourcesTJ807-830Environmental sciencesGE1-350ENSustainability, Vol 13, Iss 12360, p 12360 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Bangladesh’s coastal region green gram land suitability sustainable agriculture Geographic Information System (GIS) Analytical Hierarchy Process (AHP) Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350
spellingShingle	Bangladesh’s coastal region green gram land suitability sustainable agriculture Geographic Information System (GIS) Analytical Hierarchy Process (AHP) Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350 Billal Hossen Helmut Yabar Takeshi Mizunoya Land Suitability Assessment for Pulse (Green Gram) Production through Remote Sensing, GIS and Multicriteria Analysis in the Coastal Region of Bangladesh
description	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.
format	article
author	Billal Hossen Helmut Yabar Takeshi Mizunoya
author_facet	Billal Hossen Helmut Yabar Takeshi Mizunoya
author_sort	Billal Hossen
title	Land Suitability Assessment for Pulse (Green Gram) Production through Remote Sensing, GIS and Multicriteria Analysis in the Coastal Region of Bangladesh
title_short	Land Suitability Assessment for Pulse (Green Gram) Production through Remote Sensing, GIS and Multicriteria Analysis in the Coastal Region of Bangladesh
title_full	Land Suitability Assessment for Pulse (Green Gram) Production through Remote Sensing, GIS and Multicriteria Analysis in the Coastal Region of Bangladesh
title_fullStr	Land Suitability Assessment for Pulse (Green Gram) Production through Remote Sensing, GIS and Multicriteria Analysis in the Coastal Region of Bangladesh
title_full_unstemmed	Land Suitability Assessment for Pulse (Green Gram) Production through Remote Sensing, GIS and Multicriteria Analysis in the Coastal Region of Bangladesh
title_sort	land suitability assessment for pulse (green gram) production through remote sensing, gis and multicriteria analysis in the coastal region of bangladesh
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/8ca9e8714f424409a70cfabf4eceeaca
work_keys_str_mv	AT billalhossen landsuitabilityassessmentforpulsegreengramproductionthroughremotesensinggisandmulticriteriaanalysisinthecoastalregionofbangladesh AT helmutyabar landsuitabilityassessmentforpulsegreengramproductionthroughremotesensinggisandmulticriteriaanalysisinthecoastalregionofbangladesh AT takeshimizunoya landsuitabilityassessmentforpulsegreengramproductionthroughremotesensinggisandmulticriteriaanalysisinthecoastalregionofbangladesh
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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

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