Inventory of shallow landslides triggered by extreme rainfall in July 2024 in Zixing, China

Global climate change has led to the frequent occurrence of extreme meteorological events in recent years, which have in turn triggered severe clustered landslides in mountainous regions. The landslide inventories not only provide post-disaster statistics but also play crucial roles in advancing landslide risk assessment and driving progress in the field of landslide detection. The Rainfall-induced Landslide in Zixing (RLZX) dataset consists of a landslide inventory map (LIM) and a landslide detection dataset (LDD). The RLZX-LIM is created through the visual interpretation of 3D scenes before and after the rainfall event, containing 19,403 shallow landslides triggered by extreme rainfall in Zixing City, China, between July 26 and July 28, 2024. This inventory has reliable quality and has been verified through field investigations and unmanned aerial vehicle (UAV) mapping. The RLZX-LDD is further developed using both UAV and satellite images, offering higher quality and robustness, effectively filling the gap in rainfall-induced LDDs. The related RLZX datasets have been publicly released for free use to promote the advancement of related landslide researches.

(Nothe: The paper related to this dataset has been submitted to "Scientific Data" and will be available for download once it is accepted.)