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首页> 外文会议>Second international future mining conference 2011 >Monitoring of Erosion Risk in Surface Mining Area using a Satellite Image and Geographic Information System - A Case Study in the Indonesia Coal Mining Area
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Monitoring of Erosion Risk in Surface Mining Area using a Satellite Image and Geographic Information System - A Case Study in the Indonesia Coal Mining Area

机译：利用卫星图像和地理信息系统监测露天矿的侵蚀风险-以印尼矿区为例。

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摘要

Surface mining activities disturb large areas, produce great sediment loads and tend to be a source of water pollution if they are not managed properly. Coal mining in Indonesia has a very high risk of soil erosion because the coal mining areas are generally located in tropical areas with a high average of rainfall (4000 - 6000 mm/year) and use surface mining methods. The main factors affecting erosion risk are climate, soil type, topography, vegetation cover and management factors. Thus, the monitoring of erosion risk in mining areas is very important due to the characteristics of coal mining in Indonesia. The objective of this research is to determine the ability of satellite images (remote sensing data) and geographic information systems (GIS) to provide an accurate and up to date spatial database for the monitoring of erosion risk in surface coal mining areas using the Universal Soil Loss Equation (USLE) method. The erosion risk analysis and spatial data processing are generated by the ArcGIS 9.3 software and need several data, namely: an erosivity map, credibility map, a slope map, vegetation index map and land management or land cover map. The erosivity map is derived from the rainfall data, whereas the credibility map is derived from the soil map. The slope map is derived from the SRTM-DEM (Shuttle Radar Topography Mission-Digital Elevation Model) and processed using 3D analyst tools. Furthermore, the vegetation index map and land cover map are derived from a satellite image using digital image processing techniques. This preliminary study produced results that show soil erosion monitoring, which is integrated with remote sensing and GIS technologies, has great potential for producing accurate, advance, and low cost erosion risk maps in coal mining areas. This map is very important for getting spatial distributions of the erosion and useful for developing erosion management plans.
机译：如果管理不当，露天采矿活动会打扰大面积地区，产生大量泥沙，并且往往会成为水污染源。印尼的煤炭开采具有很高的土壤侵蚀风险，因为煤炭开采区通常位于热带地区，平均降雨量很高（4000-6000毫米/年），并使用露天开采方法。影响侵蚀风险的主要因素是气候，土壤类型，地形，植被覆盖和管理因素。因此，由于印尼煤炭开采的特点，对矿区侵蚀风险的监测非常重要。这项研究的目的是确定卫星图像（遥感数据）和地理信息系统（GIS）提供准确和最新的空间数据库以使用通用土壤监测露天煤矿开采区域侵蚀风险的能力。损耗方程（USLE）方法。侵蚀风险分析和空间数据处理由ArcGIS 9.3软件生成，并且需要一些数据，即：侵蚀度图，可信度图，坡度图，植被指数图以及土地管理或土地覆盖图。侵蚀性图是从降雨数据中得出的，而可信度图是从土壤图中得出的。坡度图源自SRTM-DEM（航天飞机雷达地形任务数字高程模型），并使用3D分析工具进行处理。此外，使用数字图像处理技术从卫星图像中获取植被指数图和土地覆盖图。这项初步研究得出的结果表明，将土壤侵蚀监测与遥感和GIS技术集成在一起，具有很大的潜力，可在煤矿区绘制准确，先进且低成本的侵蚀风险图。该图对于获取侵蚀的空间分布非常重要，对于制定侵蚀管理计划非常有用。

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  • 来源
  • 会议地点 Sydney(AU)
  • 作者

    S Maryati; H Shimada; C Nugraha; A Hamanaka; T Sasaoka; K Matsui; H Nakagawa;

  • 作者单位

    Department of Earth Resources Engineering, Kyushu University, 744 Motooka, Nishi-ku, Fukuoka 819-0395, Japan;

    Department of Earth Resources Engineering, Kyushu University, 744 Motooka, Nishi-ku, Fukuoka 819-0395, Japan;

    PT Kaltim Prima Coal, Sangatta Kutai Timur, Kalimantan Timur, Indonesia;

    Department of Earth Resources Engineering, Kyushu University, 744 Motooka, Nishi-ku, Fukuoka 819-0395, Japan;

    Department of Earth Resources Engineering, Kyushu University, 744 Motooka, Nishi-ku, Fukuoka 819-0395, Japan;

    Department of Earth Resources Engineering, Kyushu University, 744 Motooka, Nishi-ku, Fukuoka 819-0395, Japan;

    Center of Urban Infrastructure, Environment and Resources, Nishi-ku, Fukuoka 819-0395, Japan;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 地质、矿业;
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