Skip to main content
Home / Photogrammetric Engineering & Remote Sensing, Number 9 / September 2011

Open Access Automated Damage Indication for Rapid Geospatial Reporting

Download Article:
A methodology for automated extraction of damage indication from very high spatial resolution satellite imagery is presented for the Haitian towns of Carrefour and Léogâne following the January 2010 earthquake. Damaged buildings are identified by changes to their shadows between pre- and post-event data. The approach makes use of object-based image analysis concepts to extract relevant information on damage distribution. The methodology selected requires preand post-disaster images with similar sun angles and will only be suitable for the detection of collapsed (or partly collapsed) structures. The new methodology proved to be effective for the Carrefour area despite using satellite images of different qualities with inadequate image (co-)registration, producing positively validated results within an acceptable processing time, and was, to the best of our knowledge, the only automated damage assessment method to have delivered appropriate results to requesting relief organizations within a few days of the Haiti earthquake.

Document Type: Research Article

Publication date: 01 September 2011

More about this publication?
  • The official journal of the American Society for Photogrammetry and Remote Sensing - the Imaging and Geospatial Information Society (ASPRS). This highly respected publication covers all facets of photogrammetry and remote sensing methods and technologies.

    Founded in 1934, the American Society for Photogrammetry and Remote Sensing (ASPRS) is a scientific association serving over 7,000 professional members around the world. Our mission is to advance knowledge and improve understanding of mapping sciences to promote the responsible applications of photogrammetry, remote sensing, geographic information systems (GIS), and supporting technologies.
  • Editorial Board
  • Information for Authors
  • Submit a Paper
  • Subscribe to this Title
  • Membership Information
  • Information for Advertisers
  • Terms & Conditions
  • Ingenta Connect is not responsible for the content or availability of external websites

Share Content

  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content