基于高分数据木里煤矿植被覆盖度遥感估算
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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。
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.
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.
引文
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[9]刘鑫淼,康朝红,薛乐乐.基于ICA的遥感图像去噪融合研究[J].软件, 2015, 36(7):53-56.
[10]穆少杰,李建龙,陈奕兆. 2001-2010年内蒙古植被覆盖度时空变化特征[J].地理学报, 2012, 67(9):1255-1268.
[11]何海燕.基于雷达植被指数的植被覆盖度估测[D]. 2015.
[12]信冠栋,施昆,吕晓阳.遥感动态监测模型在拉市海湿地保护区土地利用中的研究[J].软件, 2018, 39(4):170-175.
[13]桔青,陶福寿.基于GIS的城镇土地资源承载力评价[J].软件, 2018, 39(7):52-56.
[2]赵春玲,李志刚,吕海军.中德合作宁夏贺兰山封山育林育草项目区植被覆盖度监测[J].宁夏农林科技, 2000(s1):6-14.
[3]张光辉,梁一民.黄土丘陵区人工草地径流起始时间研究[J].水土保持学报, 1995(3):78-83.
[4]杨胜天,刘昌明,杨志峰等.南水北调西线调水工程区的自然生态环境评价[J].地理学报, 2002,(1):11-18.
[5]ABED M A, ZHOU S, YAGHI A. Application of GIS and remote sensing in soil degradation assessments in the Syrian coast[J]. JOURNAL OF ZHEJIANG AGRICULTURAL UNIVERSITY(AGRIC.&LIFE SCI.), 2000.
[6]池宏康.沙地油蒿群落覆盖度的遥感定量化研究[J].植物生态学报, 2000, 24(4).
[7]PUREVDORJT,TATEISHI R, ISHIYAMA T. Relationships between percent vegetation cover and vegetation indices[J]. International Journal of Remote Sensing, 1998, 19(18):3519-3535.
[8]李苗苗,吴炳方,颜长珍.密云水库上游植被覆盖度的遥感估算[J].资源科学, 2004(4).
[9]刘鑫淼,康朝红,薛乐乐.基于ICA的遥感图像去噪融合研究[J].软件, 2015, 36(7):53-56.
[10]穆少杰,李建龙,陈奕兆. 2001-2010年内蒙古植被覆盖度时空变化特征[J].地理学报, 2012, 67(9):1255-1268.
[11]何海燕.基于雷达植被指数的植被覆盖度估测[D]. 2015.
[12]信冠栋,施昆,吕晓阳.遥感动态监测模型在拉市海湿地保护区土地利用中的研究[J].软件, 2018, 39(4):170-175.
[13]桔青,陶福寿.基于GIS的城镇土地资源承载力评价[J].软件, 2018, 39(7):52-56.