使用Landsat图像和LandTrendr算法,绘制西藏高原东北部地表采矿干扰的年度动态
Hang Xu1, Xu Wang2, Jianwei Zhou3
1School of Geography and Information Engineering, China University of Geosciences, Wuhan, 430074, China.
Environmental monitoring and assessment
|September 15, 2024
概括
这项研究引入了一种可靠的方法来监测地表采矿干扰和利用Landsat数据和时空规则进行回收. 该方法准确地绘制了采矿影响和恢复工作的地图,这对于在西藏高原等敏感地区的生态保护至关重要.
科学领域:
- 环境科学 环境科学
- 遥感 遥感 遥感 遥感
- 地理空间分析的研究.
背景情况:
- 煤炭资源开采影响全球能源安全,但也造成了严重的生态破坏,特别是在西藏高原.
- 高强度采矿导致土地覆盖面的快速变化,需要有效监测干扰.
- 准确的监测对于了解和减轻采矿活动对环境的影响至关重要.
研究的目的:
- 开发和评估一种采用时空规则和Landsat时间序列数据捕获地表采矿干扰和回收的方法.
- 为监测采矿相关环境变化提供可靠的框架.
主要方法:
- 使用Landsat时间光谱指标和随机森林生成年度采矿干扰概率.
- 采用基于Landsat的干扰和恢复趋势 (LandTrendr) 算法进行时间序列分割和断点检测.
- 集成的时空规则与LandTrendr输出以精确识别采矿干扰.
主要成果:
- 在穆利采矿区应用了该方法,在2004-2014年间确定了43.62平方公里的破坏性土地.
- 绘制了22.28平方公里的回收矿场地图,回收发生在2016年之后.
- 实现了高的验证准确性,整体准确性从0.7333到0.8667不等,F1分数从0.7551到0.8723不等,用于干扰和恢复.
结论:
- 拟议的方法为监测地表采矿干扰和回收提供了一个可靠的框架.
- 这种方法对于跟踪各种矿物类型的地表矿山环境变化是有价值的.
- 有效的监测对于生态保护至关重要,特别是在像西藏高原这样脆弱的地区.
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