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Land-cover change of the wuda coal fire area

机译:乌达煤火区土地覆被变化

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摘要

Coal fire generates a number of environmental problems and results in disorderly changes of landcover. Detecting the change of Land-cover is an important scientific issue of the land evaluation and the eco-environmental change forecasting. The temporal land cover maps with high accuracy make it possible to explore the eco-environmental changes of coal fire area. In thispaper, the multi-layer segmentation-based classification approach, Markov Transition Matrix methodology and Dynamic indexesby using Landsat TM data was carried out. The results reveal that coal mine and resident change are mostly in recent decades among all land cover types. Private coal mining exploitation and government administrative measures are the deriving factors.
机译:燃煤引发了许多环境问题,并导致土地覆盖的无序变化。土地覆被变化的检测是土地评估和生态环境变化预测的重要科学问题。高精度的时空土地覆盖图使得探索煤火地区的生态环境变化成为可能。本文利用Landsat TM数据,进行了基于多层分割的分类方法,马尔可夫转移矩阵方法和动态索引。结果表明,在所有土地覆盖类型中,最近几十年来煤矿和居民变化大多。私人煤矿开采和政府行政措施是派生因素。

著录项

  • 来源
  • 会议地点 Hangzhou(CN)
  • 作者单位

    Institute of Remote Sensing Application Chinese Academy of Science, Beijing 100101, China;

    Institute of Remote Sensing Application Chinese Academy of Science, Beijing 100101, China;

    Institute of Remote Sensing Application Chinese Academy of Science, Beijing 100101, China;

    The High Technology Research and Development Center, Beijing 100862, China,National Remote Sensing Center of China, Beijing 100036, China;

    Beijing Normal University, Beijing 100875, China;

    Shenhua Wuhai Energy Co. Ltd., 016040, China;

    Institute of Remote Sensing Application Chinese Academy of Science, Beijing 100101, China;

    Shenhua (Beijing) Remote SensingGEO-Engineering Company Ltd., Beijing 100085, China;

    Shenhua (Beijing) Remote SensingGEO-Engineering Company Ltd., Beijing 100085, China;

    Shenhua Wuhai Energy Co. Ltd., 016040, China;

    Institute of Remote Sensing Application Chinese Academy of Science, Beijing 100101, China;

    Institute of Remote Sensing Application Chinese Academy of Science, Beijing 100101, China;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 遥感技术;
  • 关键词

    land-cover; change analysis; image classification; coal fire;

    机译:土地覆盖变更分析;图像分类;煤火;

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