Skip to main content

Early damaged area estimation system using DMSP-OLS night-time imagery

Buy Article:

$63.00 plus tax (Refund Policy)


The disaster information system, the Early Damaged Area Estimation System (EDES), was developed to estimate damaged areas of natural disaster using the night-time imagery of the Defense Meteorological Satellite Program Operational Linescan System (DMSP-OLS). The system employs two estimation methods to detect the city lights loss or reduction as possible impacted areas; one is the bi-temporal images (BTI) method and the other is the time-series images (TSI) method. Both methods are based on significance tests assuming that brightness of city lights fluctuates as normal random variables, and the BTI method is simplified by introducing the assumption that the standard deviation of city lights fluctuation is constant. The validity of the estimation method is discussed based on the result of the application to the 2001 Western India earthquake disaster. The estimation results identify the damaged areas distant from the epicentre fairly well, especially when using the TSI method. The system is designed to estimate the global urban damage and to provide geographic information through the Internet within 24 h after a severe disaster event. The information is expected to support the disaster response and relief activities of governments and non-governmental organizations.

Document Type: Research Article


Affiliations: 1: Institute of Industrial Science The University of Tokyo 4-6-1 Komaba Meguro-ku Tokyo 153-8505 Japan, Email: 2: Earthquake Disaster Mitigation Research Center National Research Institute for Earth Science and Disaster Prevention 4F Human Renovation Museum 1-5-2 Kaigan-dori Wakihama Chuo-ku Kobe Hyogo 651-0073 Japan 3: NOAA National Geophysical Data Center 325 Broadway Boulder Colorado 80303 USA 4: Cooperative Institute for Research in Environmental Sciences University of Colorado Boulder Colorado 80303 USA

Publication date: 2004-06-01

More about this publication?
  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content
Cookie Policy
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more