سابِق|تال

Spatiotemporal changes of illegal mining in Hunan mines based on multi-source satellite remote sensing

  • role： First author第一作者
  • Affiliation：

    School of Earth Sciences, China University of Geosciences, Wuhan 430074, China

    Hunan Provincial Geological Museum, Changsha 410004, China

    Hunan Remote Sensing Center , Changsha 410007, China

  • Email：1067801638@qq.com
  • Introduction：刘立，研究方向为矿山遥感与地质灾害遥感。E-mail： 1067801638@qq.com
LIU Li123,  
  • role： Corresponding author通信作者
  • Affiliation：

    School of Earth Sciences, China University of Geosciences, Wuhan 430074, China

  • Email：1002858465@qq.com
  • Introduction：李长安，研究方向为地貌学与第四纪地质学。E-mail： 1002858465@qq.com
LI Chang’an1*,  
  • Affiliation：

    Hunan Remote Sensing Center , Changsha 410007, China

GAO Junhua3,  
  • Affiliation：

    School of Earth Sciences, China University of Geosciences, Wuhan 430074, China

    Hunan Remote Sensing Center , Changsha 410007, China

YU Lei13,  
  • Affiliation：

    Hunan Remote Sensing Center , Changsha 410007, China

LIU Shasha3

ملخص

In recent years, the unreasonable development and utilization of mineral resources have been a global concern, and studying the spatial and temporal distribution characteristics of illegal mining resources is of particular importance. To solve the difficulty in obtaining information on the illegal mining of large-scale mineral resources, low accuracy, scattered data, and lack of long time series, this paper proposes a method for extracting the spatiotemporal distribution characteristics of illegal mining in multi-source satellite remote sensing data. First, Hunan Province was used as the research area, and the multi-source satellite remote sensing image data of 2010—2017 were combined with the mining rights data of Hunan Province. The human-machine interactive interpretation method was used to extract the illegal mining data of 2010—2017. The Kriging spatial data interpolation method analyzes the mining illegal mining data for 8 years. Finally, on this basis, the spatial and temporal distribution characteristics of illegal mining in Hunan Province are mainly studied. Results show that from 2010 to 2017, Hunan Province had a total of 2815 illegal mines, which were mainly distributed in Southern Hunan, Southwestern Hunan, Central Hunan, and Eastern Hunan, showing a year-on-year rising trend in time. Xiangnan, Xiangxi, Xiangdong, Xiangbei, and Northwestern Hunan expand and change in stages and regions. The spatial distribution also tends to develop from “high concentration” to “multiple points and wide areas.” Illegal mining is mainly based on non-metallic mines. A certain number of energy and metal mines exists. The illegal mining of non-metal mines shows a significant upward trend; the types of illegal mining are mainly unlicensed and cross-border mining, and the behavior of cross-border mining is on the rise. This study shows that the use of multi-source satellite remote sensing data can objectively, accurately, and long-term extract large-scale mining illegal information and effectively reveal the spatial and temporal distribution characteristics of illegal mining. An in-depth study of the driving force of illegal mining behavior is provided. Scientific and theoretical bases are provided for the country to formulate adaptive policies.

مفهوم

spatiotemporal changes;mine;illegal mining;kriging;multi-source remote sensing;Hunan

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