Disaster detection and damage estimation using satellite imagery and land-use information

Jiann-Yeou Rau, Liang Chien Chen, Cindy Tseng, Dong Hsiung Wu, Min Huo Xie

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The Shihmen Reservoir is one of the largest and most important reservoirs in Taiwan. Frequent natural disasters, such as typhoons and earthquakes, have caused serious damages to the watershed. Typically, the landslides caused by heavy rainfall or earthquakes in the watershed destroy the road systems, slope-land, orchards, and even buildings. Traditional aerial surveying and in-situ measuring are subject to terrain barrier that makes damage estimation impractical. The satellite remote sensing technique is a good alternative since it acquires images frequently thus provides damage information efficiently. The integration of satellite images and relevant geospatial data, such as land-use maps and terrain models, provides a good solution for damage estimation. The spatial relationship between the damage and the land-use type can thus be analyzed. We will demonstrate a damage estimation procedure using SPOT satellite images and land-use data of the watershed, which encountered a major typhoon in the year of 2004.

Original languageEnglish
Title of host publication25th Anniversary IGARSS 2005
Subtitle of host publicationIEEE International Geoscience and Remote Sensing Symposium
Pages3607-3610
Number of pages4
DOIs
Publication statusPublished - 2005 Dec 1
Event2005 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2005 - Seoul, Korea, Republic of
Duration: 2005 Jul 252005 Jul 29

Publication series

NameInternational Geoscience and Remote Sensing Symposium (IGARSS)
Volume5

Other

Other2005 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2005
Country/TerritoryKorea, Republic of
CitySeoul
Period05-07-2505-07-29

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Earth and Planetary Sciences(all)

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