Standardizing Seismic Landslide Inventory Mapping: Technical Specifications and Cartographic Framework

s Seismic landslides are one of the most devastating secondary hazards triggered by earthquakes, often leading to casualties and economic losses comparable to those caused by the primary shock. They pose major challenges for post-earthquake emergency rescue and risk management. In 2024, three group standards were issued to establish an integrated technical system for seismic landslide inventory mapping, probabilistic hazard evaluation, and thematic cartographic representation: Seismic landslide probabilistic hazard evaluation (T/CADP 13—2024), Specification for thematic mapping of seismic landslide probabilistic hazard evaluation (T/CADP 14—2024), and Specification for thematic mapping of seismic landslide distribution (T/CADP 15—2024). This study focuses on T/CADP 15—2024, a pivotal component of the series dedicated to seismic landslide inventory mapping through the disaster management lifecycle. Seismic landslide inventory maps depict the spatial distribution of these landslides and document essential attributes such as location and magnitude, serving as foundational datasets for emergency response, recovery, and reconstruction planning, as well as for scientific research on hazard mechanisms and risk assessment. The standardization of these mapping practices is instrumental in ensuring data accuracy, interoperability, and comparability, which are vital prerequisites for advancing research and enhancing disaster mitigation efficiency. To address the challenges of cross-sector collaboration arising from inconsistent standards, the implementation of uniform inventory mapping protocols has become imperative. Therefore, this study details standardized specifications for seismic landslide investigation, identification, dataset construction, and the thematic cartographic framework. By establishing unified mapping criteria, we aim to achieve high-precision and objective visualization of seismic landslide distributions, providing a robust technical framework for practical disaster prevention and mitigation.