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基于谷歌地球引擎的水体信息提取和监测在高水表采矿地区的研究

Anya Zhong¹, Zhen Wang², Yulong Gen²

¹School of Geoscience and Surveying Engineering, China University of Mining and Technology (Beijing), No. 11, Xueyuan Road, Haidian District, Beijing, 100083, China. bqt2300204054@student.cumtb.edu.cn.

Scientific reports

|April 9, 2025

概括

改进的规范化差异水指数 (INDWI) 准确地提取煤矿区的水体,这对生态恢复和粮食安全至关重要. 这种方法超越了传统的指数,有助于土地回收工作.

科学领域:

环境科学环境科学
遥感遥感遥感遥感
地质科学地质科学

背景情况:

煤炭开采导致高地下水表区域的大量水积累,威胁到生态系统和粮食安全.
这些沉降区域的生态恢复需要准确的水体信息.
传统的水指数面临着诸如光谱干扰和采矿环境中的错误分类等挑战.

研究的目的:

开发和验证一种改进的方法来提取水体信息在高地下水位的煤矿沉降区域.
解决复杂的采矿景观中现有的水指数的局限性.
为生态恢复和土地回收提供科学基础.

主要方法:

使用谷歌地球引擎 (GEE) 和Landsat图像对土地类型的光谱特征进行分析.
开发了与OTSU算法相结合的改进的规范化差异水指数 (INDWI).
对水体提取的INDWI与NDWI,EWI和MNDWI进行比较分析.

主要成果:

INDWI的整体准确度超过89%,卡帕系数达到80%,优于其他水指数.
与MNDWI相比,INDWI提供了更清晰的水体边界和更少的错误分类,特别是对于小型水体和农田.
提取的水体细节,包括土壤脊和桥梁,与INDWI更精确,与实际条件保持一致.

结论:

INDWI是一种在煤矿沉降区域提取水体的优质方法.
使用INDWI准确地绘制水体地图,支持有效的土地回收和生态恢复规划.
该研究为管理采矿后景观中的水积累问题提供了坚实的基础.

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