首页> 外文期刊>Proceedings of the National Academy of Sciences, India >Quantifying the Dynamics and Drivers of Landscape Change in an Opencast Coal Mining Area of Central India (East Bokaro, Jharkhand)
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Quantifying the Dynamics and Drivers of Landscape Change in an Opencast Coal Mining Area of Central India (East Bokaro, Jharkhand)

机译:量化印度中部露天煤矿区(贾坎德邦东博卡罗)景观变化的动态和驱动因素

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abstract_textpThis paper evaluates the spatiotemporal dynamics of landscape change and identifies the primary drivers of deforestation in East Bokaro coalfields from 1972 to 2016 using grid-based change detection and spatial statistics. Landsat images for the years 1972, 2001 and 2016 were classified using a supervised maximum likelihood technique to generate the land use and land cover maps for each year. Square grids of 500 m were used to quantify the cumulative changes in land cover from 1972 to 2016. Grid-based correlation and regression analyses were used to identify the drivers of change. The results revealed that the area has undergone major changes in land cover pattern in the last 44 years due to expansion of mining activities. Forests and agriculture have reduced while settlement and barren lands have increased considerably. Extensive plantation activities on mining wastelands in the last few decades have led to an increase in the forest cover by about 8.22. Correlations indicated that both mining and agriculture increased at the expense of forests to some degree and agricultural lands were sacrificed for the expansion of built-up areas. Regression analysis confirmed that agriculture and mining were the most influential factors driving the changes in forest cover./p/abstract_text
机译:本文利用基于网格的变化检测和空间统计方法,对1972—2016年东博卡罗煤田景观变化的时空动态进行了评价,并确定了森林砍伐的主要驱动因素。1972 年、2001 年和 2016 年的 Landsat 影像使用监督最大似然法进行分类,以生成每年的土地利用和土地覆被图。采用500 m的方形网格量化了1972—2016年土地覆被的累积变化。基于网格的相关性和回归分析用于确定变化的驱动因素。结果显示,由于采矿活动的扩大,该地区在过去44年中经历了土地覆盖格局的重大变化。森林和农业减少了,而定居点和贫瘠的土地却大大增加。在过去的几十年里,在采矿荒地上的广泛种植活动导致森林覆盖率增加了约8.22%。相关性表明,采矿业和农业在一定程度上以牺牲森林为代价而增加,农业用地被牺牲以扩大建成区。回归分析证实,农业和采矿业是推动森林覆盖率变化的最重要因素。

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