Field-verified thaw hazard inventory and susceptibility map for Qinghai Province, China

This dataset supports the research article "A method for better mapping of susceptibility to thaw hazards in data-scarce cold regions" . The dataset contains spatial coordinates (latitude and longitude in WGS84) of 534 field-verified thaw hazard sites in Qinghai Province, China, classified into three types (thaw slumps, solifluction, and thaw settlement), compiled through an integrated multi-source approach combining satellite remote sensing (Landsat-8, GF-1, GF-2, ZY-3), comprehensive field surveys conducted between 2019 and 2022, and UAV-based detailed characterization. Additionally, the dataset includes a high-resolution thaw hazard susceptibility map for Qinghai Province generated using the TabPFN machine learning model, with pixel values representing susceptibility probabilities ranging from 0 (lowest) to 1 (highest). The study area covers Qinghai Province on the Qinghai-Tibet Plateau (31°39′–39°19′N, 89°35′–103°04′E), with data temporal coverage from 2015 to 2022. For detailed methodology, environmental factors, and model performance evaluation, please refer to the associated research article.本数据集支撑研究论文《面向数据匮乏寒冷区域的冻融灾害（thaw hazards）敏感性精细化制图方法》（"A method for better mapping of susceptibility to thaw hazards in data-scarce cold regions"）。本数据集包含中国青海省534个经野外验证的冻融灾害点位的空间坐标（世界大地测量系统1984（WGS84）坐标系下的经纬度），这些点位分为融滑塌（thaw slumps）、融冻泥流（solifluction）、融沉（thaw settlement）三类。本数据集通过多源集成手段构建，涵盖卫星遥感数据（Landsat-8、高分一号（GF-1）、高分二号（GF-2）、资源三号（ZY-3））、2019至2022年间开展的全面野外调查，以及基于无人机（UAV）的精细化特征表征。此外，本数据集还包含基于TabPFN机器学习模型生成的青海省高精度冻融灾害敏感性分布图，其像素值代表灾害敏感性概率，取值范围为0（最低）至1（最高）。研究区域为青藏高原青海省（北纬31°39′–39°19′，东经89°35′–103°04′），数据时间覆盖范围为2015年至2022年。如需了解详细的研究方法、环境因子选取及模型性能评估细节，请参阅相关研究论文。