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Suitable Land Assessment for Rice Crop in Burkina Faso Using GIS, Remote Sensing and Multi Criteria Analysis

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dc.contributor.author Yangouliba, Gnibga Issoufou
dc.contributor.author Kwawuvi, Daniel
dc.contributor.author Almoradie, Adrian
dc.date.accessioned 2022-12-16T10:40:38Z
dc.date.available 2022-12-16T10:40:38Z
dc.date.issued 2020-12
dc.identifier.other DOI: 10.4236/jgis.2020.126039
dc.identifier.uri http://197.159.135.214/jspui/handle/123456789/620
dc.description Research Article en_US
dc.description.abstract In Burkina Faso, rice consumption is currently common and increasing in both, rural and urban areas. Although several efforts have been made by the state to develop land for rice cultivation, the population’s demand is still greater than the supply. Nevertheless, the country has great potential for rice cultivation. This study aims to analyze the suitability of land for rice cropping in the province of Nahouri. Field and satellite data were collected to map the rice crops developed areas. Furthermore, morphopedological, topographic, land use/cover, and accessibility to land data were collected and integrated into a Geographic Information System (GIS) based on simple Multi-Criteria Analysis (MCA). Land suitability for rice crop was performed. The results show that the total suitable area for rice cultivation in the province is 106,373 ha (28% of the province) where the most suitable areas cover 32,614 ha and the suitable areas cover 73,759 ha. Already 3144 ha of the province area had been developed for rice cultivation with 815 ha and 845 ha of most suitable and suitable areas respectively whereas more than 45% of the developed lands were not fit for the rice crop suitable land. en_US
dc.language.iso en en_US
dc.publisher Journal of Geographic Information System en_US
dc.subject Geographic Information System en_US
dc.subject Land Suitability en_US
dc.subject Multi-Criteria Analysis en_US
dc.subject Rice en_US
dc.subject Remote Sensing en_US
dc.title Suitable Land Assessment for Rice Crop in Burkina Faso Using GIS, Remote Sensing and Multi Criteria Analysis en_US
dc.type Article en_US


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