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Soil erosion assessment and its correlation with landslide events using remote sensing data and GIS: a case study at Penang Island, Malaysia

机译:利用遥感数据和GIS进行土壤侵蚀评估及其与滑坡事件的相关性:以马来西亚槟城岛为例

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摘要

In this paper, an attempt has been made to assess, prognosis and observe dynamism of soil erosion by universal soil loss equation (USLE) method at Penang Island, Malaysia. Multi-source (map-, space- and ground-based) datasets were used to obtain both static and dynamic factors of USLE, and an integrated analysis was carried out in raster format of GIS. A landslide location map was generated on the basis of image elements interpretation from aerial photos, satellite data and field observations and was used to validate soil erosion intensity in the study area. Further, a statistical-based frequency ratio analysis was carried out in the study area for correlation purposes. The results of the statistical correlation showed a satisfactory agreement between the prepared USLE-based soil erosion map and landslide events/locations, and are directly proportional to each other. Prognosis analysis on soil erosion helps the user agencies/decision makers to design proper conservation planning program to reduce soil erosion. Temporal statistics on soil erosion in these dynamic and rapid developments in Penang Island indicate the co-existence and balance of ecosystem.
机译:本文试图通过通用水土流失方程(USLE)方法在马来西亚槟城岛评估,预测和观察土壤侵蚀的动态性。使用多源(基于地图,基于空间和基于地面的)数据集获取USLE的静态和动态因素,并以GIS栅格格式进行了综合分析。根据航拍照片,卫星数据和野外观测的图像元素解释生成了滑坡位置图,并用于验证研究区域的土壤侵蚀强度。此外,出于相关目的,在研究区域中进行了基于统计的频率比率分析。统计相关结果表明,已准备的基于USLE的土壤侵蚀图与滑坡事件/位置之间具有令人满意的一致性,并且彼此成正比。关于水土流失的预后分析可帮助用户机构/决策者设计适当的保护规划计划,以减少水土流失。槟城岛这些迅速而动态的发展过程中的水土流失的时间统计表明了生态系统的共存和平衡。

著录项

  • 来源
    《Environmental Monitoring and Assessment》 |2012年第2期|p.715-727|共13页
  • 作者单位

    Institute for Cartography, Faculty of Forestry, Geo and Hydro-science, Dresden University of Technology, 01062 Dresden, Germany,Institute of Advanced Technology, University Putra Malaysia, 43400, UPM, Serdang, Selangor Darul Ehsan, Malaysia;

    Institute for Cartography, Faculty of Forestry, Geo and Hydro-science, Dresden University of Technology, 01062 Dresden, Germany,CSRE, IIT Bombay, Powai, Mumbai 400 076, India;

    CSRE, IIT Bombay, Powai, Mumbai 400 076, India;

    Institute for Cartography, Faculty of Forestry, Geo and Hydro-science, Dresden University of Technology, 01062 Dresden, Germany;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    soil erosion; frequency ratio analysis; GIS; landslides; land use/cover; remote sensing; USLE; Malaysia;

    机译:水土流失;频率比分析;地理信息系统滑坡土地利用/覆盖;遥感;USLE;马来西亚;
  • 入库时间 2022-08-17 13:27:33

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