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首页> 外文期刊>Environmental Monitoring and Assessment >Changes detected in the extent of surface mining and reclamation using multitemporal Landsat imagery: a case study of Jiu Valley, Romania
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Changes detected in the extent of surface mining and reclamation using multitemporal Landsat imagery: a case study of Jiu Valley, Romania

机译:利用多立体山地地图的地表挖掘和垦区范围检测到的变化:罗马尼亚九谷的案例研究

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摘要

Surface mining represents the dominant driver of land coverage changes in the Jiu Valley mining area in Romania. Detecting and quantifying active mines and reclaimed areas are very important tasks given the effects of surface mining on the environment. In this paper, Landsat imagery for the years 1988, 1998, 2008, and 2017 was used to map the extent of surface mining and reclamation in the Jiu Valley mining area. The satellite images were classified using the Support Vector Machine (SVM) algorithm to map land cover classes, including mined areas, and post-classification comparison (PCC) technique to track changes through time. In order to identify and quantify active mines and reclaimed areas of mined areas, we used indices such as Normalized Difference Vegetation Index (NDVI), Soil-Adjusted Vegetation Index (SAVI), and Modified Soil-Adjusted Vegetation Index-2 (MSAVI-2). For the entire area studied, during the period 1988-2017, the extent of surface mining was 6.5%, with peaks in the periods 1988-1998 and 1998-2008, namely, 205.2% and 4.0%, respectively, as a result of the extension of surface exploitation as distinct from that underground. Land cover conversion to mined areas was almost exclusively from agricultural, forest, and pasture. The results show that NDVI estimated the largest surfaces with active mines, reclaimed grassland, and reclaimed woodland, within the mined areas. SAVI and MSAVI-2 estimated larger surfaces classified as reclaimed forest. As a result of the expansion of surface mining areas, the landscape was considerably degraded through mining scars, landscape fragmentation, degradation, and pollution. However, during the past few years, reclamation activity has intensified in the affected areas through the occurrence of spontaneous vegetation, but also through forestation.
机译:表面挖掘代表罗马尼亚九谷矿区土地覆盖变化的主导驱动因素。检测和量化有效矿山和再生区域是非常重要的任务,因为表面挖掘对环境的影响。本文曾经1988年,1998年,2008年和2017年的Landsat Imagery用于映射九谷矿区表面采矿和填海区的程度。卫星图像使用支持向量机(SVM)算法进行分类,以映射陆地覆盖类,包括挖掘区域,以及分类后的比较(PCC)技术,以跟踪通过时间的变化。为了识别和量化开采区域的活跃矿山和再生区域,我们使用指标差异差异植被指数(NDVI),土壤调整后植被指数(SAVI)等指标,并改性土壤调整后植被指数-2(MSAVI-2 )。对于研究的整个区域,在1988 - 2017年期间,表面采矿的程度为6.5%,在1988-1998和1998-2008期间,即205.2%和4.0%,由于该期间,达到了205.2%和4.0%延伸表面剥削与地下不同。土地覆盖转换到采矿区几乎完全来自农业,森林和牧场。结果表明,NDVI在矿区内估计有活跃的地雷,再生草地和再生林地的最大曲面。 SAVI和MSAVI-2估计较大的表面被归类为再生林。由于表面采矿区的扩展,通过采矿疤痕,景观碎片,降解和污染,景观显着降低。然而,在过去几年中,通过发生自发植被的影响地区,填海病程在受影响的地区进行了加剧,而且通过造林。

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