Role of a Mine in Changing Its Surroundings—Land Use and Land Cover and Impact on the Natural Environment in Barapukuria, Bangladesh
Hossain Mohammad Arifeen,
Md. Shahariar Chowdhury,
Haoran Zhang,
Tanita Suepa,
Nowshad Amin,
Kuaanan Techato and
Warangkana Jutidamrongphan
Additional contact information
Hossain Mohammad Arifeen: Faculty of Environmental Management, Prince of Songkla University, Hat Yai, Songkhla 90110, Thailand
Md. Shahariar Chowdhury: Faculty of Environmental Management, Prince of Songkla University, Hat Yai, Songkhla 90110, Thailand
Haoran Zhang: Geo-Informatics and Space Technology Development Agency (GISTDA), Bangkok 20230, Thailand
Tanita Suepa: Geo-Informatics and Space Technology Development Agency (GISTDA), Bangkok 20230, Thailand
Nowshad Amin: College of Engineering, Universiti Tenaga Nasional (The National Energy University), Jalan IKRAM UNITEN, Kajang 43000, Selangor, Malaysia
Kuaanan Techato: Faculty of Environmental Management, Prince of Songkla University, Hat Yai, Songkhla 90110, Thailand
Warangkana Jutidamrongphan: Faculty of Environmental Management, Prince of Songkla University, Hat Yai, Songkhla 90110, Thailand
Sustainability, 2021, vol. 13, issue 24, 1-19
Abstract:
Land use and land cover (LULC) change is considered among the most discussed issues associated with development nowadays. It is necessary to provide factual and up-to-date information to policymakers to fulfil the increasing population’s food, work, and habitation needs while ensuring environmental sustainability. Geographical Information System (GIS) and Remote sensing can perform such work adequately. This study aims to assess land use and land cover changes concerning the Barapukuria coal mine and its adjacent areas in Bangladesh by applying remote sensing and GIS (geographical information system) techniques. This research work used time-series satellite images from the Landsat 7 ETM+ satellite between 1999 and 2009 and the Landsat 8 OLI/TIRS satellite for 2019. Supervised classification maximum likelihood classifier matrix was implemented using ERDAS Imagine 2018. The images were categorised into four definite classes: settlement, agricultural land, forest land, and waterbody. Analytical results clearly indicated that settlements and agricultural land had increasing and decreasing trends over the past 20 years, respectively. Settlements increased from 22% to 34% between 1999 and 2019. However, agricultural land reduced from 69% to 59% in the same period. Settlements grew by more than 50% during this period. The research had an overall accuracy of 70%, while the kappa coefficient was more than 0.60. There were land subsidence issues because of mining activities, leading to 1.003 km 2 area being depressed and 1500 houses cracked. This research depicts the present LULC scenario and the impact of the coalfield area. It is expected to reduce the burden on policymakers to prepare a proper and effective mines development policy in Bangladesh and meet sustainable development goal (SDG) 15 (Life on land).
Keywords: land use and land cover; Barapukuria coal mine; GIS and remote sensing; satellite image; supervised classification (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:13:y:2021:i:24:p:13602-:d:698450
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