Rooftop classification map of Dominica and Saint Lucia

Building footprint polygons in Dominica and Saint Lucia with corresponding roof type and roof material attributes predicted from RGB orthophotos taken in 2018-2019, in the aftermath of Hurricane Maria.

Resources

• Dominica Rooftop Classification Map gpkg (Details)
  Building footprint polygons of Dominica with corresponding roof type and roof material attributes predicted from RGB orthophotos taken in 2018-2019, in the aftermath of Hurricane Maria.

  Reference coordinate system	EPSG:32620

• Saint Lucia Rooftop Classification Map gpkg (Details)
  Building footprint polygons of Saint Lucia with corresponding roof type and roof material attributes predicted from RGB orthophotos taken in 2022.

  Reference coordinate system	EPSG:32620

• Fusing VHR Post-disaster Aerial Imagery and LiDAR Data for Roof Classification in the Caribbean pdf (Details)
  Accurate and up-to-date information on building characteristics is essential for vulnerability assessment; however, the high costs and long timeframes associated with conducting traditional field surveys can be an obstacle to obtaining critical exposure datasets needed for disaster risk management. In this work, we leverage deep learning techniques for the automated classification of roof characteristics from very high-resolution orthophotos and airborne LiDAR data obtained in Dominica following Hurricane Maria in 2017. We demonstrate that the fusion of multimodal earth observation data performs better than using any single data source alone. Using our proposed methods, we achieve F1 scores of 0.93 and 0.92 for roof type and roof material classification, respectively. This work is intended to help governments produce more timely building information to improve resilience and disaster response in the Caribbean.
• Metadata markdown
• Metadata json

RDL Exposure Info

Additional Info