Rapidmap project for disaster monitoring

K. Cho, H. Wakabayashi, C. H. Yang, U. Soergel, Ch Lanaras, E. Baltsavias, E. Rupnik, F. Nex, F. Remondino

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

12 Citations (Scopus)


We present results of the RAPIDMAP project funded by the EU & Japan with aim to foster the cooperation of European countries with Japan in R&D. The main objective of RAPIDMAP is usage of remote sensing data and WebGIS technologies for rapid mapping of disasters and the development of a Decision Support System (DSS) for fast information access and analysis. Here, we mainly present a case study of the Tohoku tsunami disaster 2011. We address the topics, near real-time monitoring, change detection, mapping and co-registration, using images before and after the tsunami. The optical and radar images were acquired by satellites (TerraSAR-X and FORMOSAT-2) and UAVs (Unmanned Aerial Vehicle). Change detection focuses on linear features, using Curvelets, and flooded areas. Co-registration uses various matching methods for very different images and addresses also the problem of automated matching blunder detection. Results are also presented on mapping and change detection (especially of buildings) using oblique aerial optical images related to the L'Aquila (Italy) 2009 earthquake.

Original languageEnglish
Title of host publication35th Asian Conference on Remote Sensing 2014
Subtitle of host publicationARCS 2014
PublisherCurran Associates Inc.
Number of pages6
ISBN (Print)978-1-63439-999-9
Publication statusPublished - Oct 2014
Externally publishedYes
Event35th Asian Conference on Remote Sensing 2014: Sensing for Reintegration of Societies, ACRS 2014 - Nay Pyi Taw, Myanmar
Duration: 27 Oct 201431 Oct 2014


Conference35th Asian Conference on Remote Sensing 2014: Sensing for Reintegration of Societies, ACRS 2014
CityNay Pyi Taw


  • Change detection
  • Disasters
  • Image co-registration
  • L'Aquila earthquake
  • Mapping
  • Near real-time monitoring
  • Oblique aerial images
  • Optical images
  • SAR images
  • Tohoku Tsunami
  • UAV
  • ITC-CV


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