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      • KCI등재

        Plasmodium falciparum Spatial autocorrelation Hotspot Malaria control

        Sonjay Mondal,Kunal Kanti Maiti,Debashish Chakravarty,Jatisankar Bandyopadhyay 대한공간정보학회 2016 Spatial Information Research Vol.24 No.6

        Mapping of land use/land cover (LU/LC) is an important activity of land management and monitoring, but mining activity has an effect on land, environment and local society. The analysis of land changes map is prepared using high resolution imagery and provide mining information. The rate of deforestation and forest fragmentation has also decreased due to mining activity. This has resulted in over exploitation of natural resources due to mining activities like deforestation, cultivation of marginal lands, mining and industrialization in meeting the increasing demand for food, fuel and fiber. Geo-spatial technology has led to the hosts of undesirable effects on the ecosystem. The risk buffer zone is manipulated based on environmental concern and field verification. Mining operations involve in mineral extraction from the earth’s crust, tends to make a notable impact on the environment, landscape and also biological communities of the earth in the mining area. LU/LC change detection and its impact over space and time (2007–2011). Risk buffer zone demarcation in colliery area and finally environmental impact assessment in the mining area.

      • KCI등재

        Geospatial analysis for the assessment of mine land reclamation area: a case study of Noamundi Block, Jharkhand

        Kunal Kanti Maiti,Jatisankar Bandyopadhyay,Debashish Chakravarty,Subha Das,Sonjay Mondal 대한공간정보학회 2019 Spatial Information Research Vol.27 No.6

        Reclamation consists of modifying the disturbed land and returning it to a more natural state of hills, grasslands, forests and lakes for the benefit of future generations. This study analyzed the change of land use and land cover in the Noamundi block (West Singhbhum district, Jharkhand), India. This paper demonstrates the impact of mining on the natural environment in this area by using three images of the Landsat missions from 2003, 2011 and 2017 which were processed by the supervised image classification (8 classes). By comparing the classified images this paper retrieve the absolute and relative change of land use and land cover in the study area. An accuracy assessment is performed to describe the quality of the classification. The maximum increase of agricultural areas is detected with a decrease in forest areas.

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