CAS Landslide Dataset: A Large-Scale and Multisensor Dataset for Deep Learning-Based Landslide Detection

In this work, we present the CAS Landslide Dataset, a large-scale and multisensor dataset for deep learning-based landslide detection, developed by the Artificial Intelligence Group at the Institute of Mountain Hazards and Environment, Chinese Academy of Sciences (CAS). The dataset aims to address the challenges encountered in landslide recognition. With the increase in landslide occurrences due to climate change and earthquakes, there is a growing need for a precise and comprehensive dataset to support fast and efficient landslide recognition. In contrast to existing datasets with dataset size, coverage, sensor type and resolution limitations, the CAS Landslide Dataset comprises 20,865 images, integrating satellite and unmanned aerial vehicle data from nine regions. To ensure reliability and applicability, we establish a robust methodology to evaluate the dataset quality. We propose the use of the Landslide Dataset as a benchmark for the construction of landslide identification models and to facilitate the development of deep learning techniques. Researchers can leverage this dataset to obtain enhanced prediction, monitoring, and analysis capabilities, thereby advancing automated landslide detection.

If you use our data, please cite our work published in Scientific Data.

Xu, Y., Ouyang, C., Xu, Q. et al. CAS Landslide Dataset: A Large-Scale and Multisensor Dataset for Deep Learning-Based Landslide Detection. Sci Data 11, 12 (2024). https://doi.org/10.1038/s41597-023-02847-z

本研究推出CAS滑坡数据集（CAS Landslide Dataset）——一款用于基于深度学习滑坡检测的大规模多传感器数据集，由中国科学院（Chinese Academy of Sciences，CAS）山地灾害与环境研究所人工智能课题组研发。该数据集旨在解决滑坡识别领域面临的诸多挑战。伴随气候变化与地震活动，滑坡事件愈发频发，业界对精准全面的数据集以支撑快速高效滑坡识别的需求持续攀升。相较于现有数据集在规模、覆盖范围、传感器类型及分辨率上存在的局限性，本CAS滑坡数据集共包含20865张影像，整合了来自9个区域的卫星与无人机（Unmanned Aerial Vehicle, UAV）数据。为保障数据集的可靠性与适用性，本研究构建了一套严谨的评估体系以校验数据集质量。本研究提出将该滑坡数据集作为滑坡识别模型构建的基准数据集，以推动深度学习技术的发展。科研人员可依托该数据集提升滑坡预测、监测与分析能力，进而助力自动化滑坡检测技术的进步。

若使用本数据集，请引用发表于《科学数据（Scientific Data）》的研究成果：
Xu Y, Ouyang C, Xu Q, et al. CAS滑坡数据集：一款用于基于深度学习滑坡检测的大规模多传感器数据集. 科学数据, 2024, 11: 12. https://doi.org/10.1038/s41597-023-02847-z