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首页> 外文期刊>Journal of earth system science >Slope failure susceptibility zonation using integrated remote sensing and GIS techniques: A case study over Jhingurdah open pit coal mine, Singrauli coalfield, India
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Slope failure susceptibility zonation using integrated remote sensing and GIS techniques: A case study over Jhingurdah open pit coal mine, Singrauli coalfield, India

机译:集成遥感和GIS技术的边坡破坏敏感性区划:以印度辛格劳利煤田吉恩古达露天煤矿为例

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The susceptibility of slopes in open pit coal mines to various modes of failure (i.e., plane, wedge, circular and toppling failure) could be envisaged by virtue of processing and analysis of pertinent satellite data. The aim of the present study was to integrate thematic maps generated using remote sensing imageprocessing techniques, in order to finally produce slope failure hazard zonation maps in and around Singrauli coalfield, India. The various failure-inducing factors, variables and parameters can be extracted from different satellite data and imageries. The data acquired by different sensors such as TM, ETM+,etc., of LANDSAT series and CARTOSAT of ISRO Bhuvan was used in this study. All these data were subsequently used to create different thematic maps such as slope map, lithological map, land use/land cover map, principal component analysis map, digital elevation model (DEM), etc. An advanced analysis for extraction of lineament attributes was also undertaken.
机译:可以通过处理和分析相关的卫星数据来设想露天煤矿的边坡对各种破坏模式(即平面,楔形,圆形和倾覆破坏)的敏感性。本研究的目的是整合使用遥感图像处理技术生成的专题图,以便最终生成印度辛格劳里煤田及其周围地区的边坡破坏危险分区图。可以从不同的卫星数据和图像中提取各种导致故障的因素,变量和参数。本研究使用了LANDSAT系列的TM,ETM +等不同传感器和ISRO Bhuvan的CARTOSAT等不同传感器获取的数据。所有这些数据随后被用于创建不同的专题图,例如坡度图,岩性图,土地使用/土地覆盖图,主成分分析图,数字高程模型(DEM)等。还对线素属性的提取进行了高级分析。承担。

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