Building damage datasets for the 2023 Türkiye earthquake

This comprehensive dataset was compiled to support research on building damage identification and prediction following the February 2023 Türkiye earthquakes. It integrates pre-seismic building inventories, multi-source post-disaster damage assessments, and key geo-environmental influencing factors. The repository is structured around three core components:

(1) GBA_building_footprint: This folder contains a high-resolution Shapefile (Turkey_GBA_building_data) representing the building footprint polygons for the affected regions.

(2) Building_damage_data: This folder aggregates building damage evaluations from five distinct sources, facilitating comparative studies and data fusion. It includes ARIA_DPM, damage proxy maps derived from NASA's ARIA project using Sentinel-1 SAR data to indicate ground deformation; UNOSAT, expert-based damage grading (e.g., destroyed, major damage) provided by the UN Operational Satellite Applications Programme in GIS vector format; Microsoft_team, AI-generated or crowdsourced damage assessments from Microsoft's disaster response collaborations; Visual_interpretation, manually annotated damage labels serving as a high-confidence validation dataset; and This_study, containing building damage results obtained using the methodology developed in this study.

(3) Influencing_factors: This crucial folder provides raster layers (.tif) of key variables that influence building damage patterns, enabling analysis and prediction of damage distribution. It includes DEM.tif, a digital elevation model essential for assessing topographic effects; Epicenter.tif, representing the distance from each pixel to the main earthquake epicenter as a primary proxy for shaking intensity; Fault.tif, indicating proximity to active faults, a critical factor in ground motion; Lithology.tif, depicting geological or lithological units that strongly affect shaking amplification and liquefaction potential; and PGV.tif, peak ground velocity, a key measured or modeled ground motion parameter directly linked to seismic energy and potential structural damage.