Landslides of the 2023 summer event of São Sebastião, southeastern Brazil: spatial dataset

Abstract

In February 2023, anomalously heavy rainfall caused widespread landslides in the coastal city of São Sebastião (Southeastern Brazil). This report describes the first version of a landslide inventory dataset for this event. The inventory is primarily based on the analysis of aerial images with 10 cm spatial resolution acquired immediately after the event, as well as archive images from Google Earth and PlanetScope. Delimitation of the landslides relied on a comparison of the images along with the area’s Digital Surface Model (DSM) and hydrography. The spatial vector dataset (shapefile and geopackage) contains points representing the landslide’s crowns and polygons indicating the affected area and is openly available in Zenodo.

KEYWORDS:
landslide dataset; mass movement; digital terrain analysis; GIS