巴基斯坦采矿沉陷数据集（202112-202204）

矿产资源的开采通常具有分布范围广泛、不均匀且分散的特点，因此快速、准确地识别并提取大区域内采矿沉陷的空间分布显得尤为重要。星载合成孔径雷达干涉测量（InSAR）技术因其全天候、全天时、高分辨率和高精度等优势，被广泛应用于监测煤矿开采引发的地面沉降。SBAS与光学遥感影像、IPGS技术的联合应用，实现了遥感综合识别技术对巴基斯坦全境的采矿沉陷形变进行监测和识别，并形成了相应的数据集，详细查明了巴基斯坦2021年12月至2022年4月期间的采矿沉陷情况。

Mining of mineral resources is generally characterized by wide, uneven and scattered distribution. Therefore, it is particularly critical to rapidly and accurately identify and extract the spatial distribution of mining subsidence in large-scale regions. Satellite-borne Interferometric Synthetic Aperture Radar (InSAR) technology has been widely applied to monitor land subsidence induced by coal mining, owing to its advantages of all-weather, all-day operation, high spatial resolution and high measurement accuracy. The integrated remote sensing recognition technology, developed via the combined use of SBAS, optical remote sensing images and IPGS technology, was employed to monitor and identify mining subsidence deformation across the entire territory of Pakistan, and a corresponding dataset was established. This dataset thoroughly documents the mining subsidence status in Pakistan during the period from December 2021 to April 2022.