| 基于Landsat影像的木里煤田矿区植被覆盖提取及时空变化分析 |
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| 引用本文： | 伍超群,张绪冰,王耀,李瑞智.基于Landsat影像的木里煤田矿区植被覆盖提取及时空变化分析[J].测绘与空间地理信息,2020(2):67-72. |
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| 作者姓名： | 伍超群 张绪冰 王耀 李瑞智 |
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| 作者单位： | 中国地质大学地理与信息工程学院;国土资源部法律评价工程重点实验室 |
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| 基金项目： | 国土资源部公益性行业专项“长江中游经济带土地利用转型管控技术与政策创新——长江中游经济带土地利用转型管控体系研究”(201511004-5)资助。 |
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| 摘 要： | 木里煤田地处青藏高原典型生态环境脆弱地带的大通河源头,本文以Landsat影像为数据源,基于归一化植被指数像元二分模型估算木里煤田矿区1990-2016年植被覆盖度,监测其动态变化及时空发展规律。研究发现,1990-2016年矿区裸土及低植被覆盖面积增加156.60 km^2,中植被覆盖面积增加153.37 km^2,高植被覆盖面积减少309.99 km^2。动态监测结果表明,1990-2016年木里煤田植被覆盖呈现严重退化趋势,退化最明显区域出现在矿区周边;时空格局变化分析结果表明,矿区植被覆盖等级逐渐向低植被覆盖等级转变,植被覆盖区域面积逐渐缩小。通过监测木里煤田矿区植被覆盖动态变化并分析其时空变化特征,为研究区生态环境修复,土地复垦等工作提供相关数据参考及技术支撑。
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| 关 键 词： | 矿区 遥感影像 植被覆盖度 提取 |
Analysis of Vegetation Coverage Extraction and Time-space Change in Muli Coalfield Based on Landsat Image |
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| WU Chaoqun,ZHANG Xubing,WANG Yao,LI Ruizhi.Analysis of Vegetation Coverage Extraction and Time-space Change in Muli Coalfield Based on Landsat Image[J].Geomatics & Spatial Information Technology,2020(2):67-72. |
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| Authors: | WU Chaoqun ZHANG Xubing WANG Yao LI Ruizhi |
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| Institution: | (School of Geographic Information Engineering,China University of Geosciences(Wuhan),Wuhan 430074,China;Key Laboratory of Legal Assessment Project,Ministry of Land and Resources,Wuhan 430074,China) |
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| Abstract: | The Muli coalfield is located at the source of the Datong River in a fragile zone of ecological environment typical of the Qinghai-Tibet Plateau. Based on the normalized vegetation index Pixel Dichotomy Model,this paper uses Landsat images as a data source to estimate vegetation coverage in the mining area of the Muli coalfield between 1990 and 2016. Every five or six years as a change monitoring node,monitoring its dynamic changes and space-time development law. From 1990 to 2016,the area covered by bare soil and low vegetation increased by 156.60 km^2,middle vegetation cover increased by 153.37 km^2,and high vegetation cover decreased by 309.99 km^2. The dynamic monitoring results show that the vegetation cover of the Muli coalfield shows a serious degradation trend from 1990 to 2016,the most obvious area of which is around the mining area. The results of temporal and spatial pattern analysis show that the type of vegetation cover in the mining area has gradually changed to low vegetation cover,and that the area of vegetation cover has gradually decreased. By monitoring the dynamic change of vegetation cover in the Muli coalfield mining area and analyzing its spatiotemporal variation characteristics,this paper provides relevant data reference and technical support for ecological environment restoration and land reclamation in the study area. |
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| Keywords: | mining area remote sensing image vegetation coverage extraction |
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