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基于高分数据木里煤矿植被覆盖度遥感估算

Remote Sensing Estimation of Vegetation Coverage in Muli Coal Mine Based on High-Fraction Data

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【作者】 索红燕黄义忠李烙

【Author】 SUO Hong-yan;HUANG Yi-zhong;LI Luo;College of Land and Resources Engineering, Kunming University of Science and Technology;

【机构】 昆明理工大学国土资源工程学院

【摘要】 木里煤矿是青海省最大的露天煤矿,该煤矿的大量开采影响了木里镇的生态平衡,本文通过估算木里煤矿区域的植被覆盖度验证该区域的生态情况,经估算,木里煤矿区域2016~2018的年平均植被覆盖度分别为0.22、0.43、0.54。从计算结果表明木里煤矿区域的植被覆盖度在逐年增加,恢复情况较好。通过研究木里煤矿近3年的植被覆盖情况可以反映出矿区的恢复与治理效果较好,同时为其它矿区的恢复与治理提供参考。

【Abstract】 Muli Coal Mine is the largest open-pit coal mine in Qinghai Province. The ecological balance of Muli Town is affected by the large-scale mining of the coal mine. This paper validates the ecological situation of the area by estimating the vegetation coverage of Muli Coal Mine. It is estimated that the annual average vegetation coverage of Muli Coal Mine from 2016 to 2018 is 0.22, 0.43 and 0.54, respectively. The calculation results show that the vegetation coverage in Muli coal mine area is increasing year by year, and the recovery situation is good. By studying the vegetation cover of Muli Coal Mine in recent three years, it can reflect that the effect of restoration and treatment of mining area is better, and provide reference for the restoration and treatment of other mining areas.

  • 【文献出处】 软件 ,Computer Engineering & Software , 编辑部邮箱 ,2019年09期
  • 【分类号】TP751;X171.4
  • 【被引频次】1
  • 【下载频次】183
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