全球超高分辨率滑坡制图数据集（GVLM）1.0 版

GVLM 是全球首个大规模、开源的 VHR（超高分辨率）滑坡测绘数据集，它不仅为滑坡研究提供了宝贵的数据资源，更为变化检测算法在复杂自然场景下的鲁棒性测试提供了新的基准。覆盖面积 163.77km²，空间分辨率0.59m，每个子数据集均包含一对双时态图像及相应的地面实况地图。

GVLM is the world's first large-scale, open-source VHR (Very High Resolution) landslide mapping dataset. It not only provides valuable data resources for landslide research, but also offers a new benchmark for robustness testing of change detection algorithms in complex natural scenarios. It covers an area of 163.77 km² with a spatial resolution of 0.59 m, and each sub-dataset contains a pair of bi-temporal images and the corresponding ground truth maps.