Rapidmap - Rapid mapping and information dissemination for disasters using remote sensing and geoinformation
Creators: name: Baltsavias, E.
name: Cho, K.
name: Remondino, F.
name: Sörgel, Uwe
name: Wakabayashi, H.
Publisher: name: Göttingen : Copernicus GmbH
Year: 2013
Subjects: subject: Data co-registration
subject: Data fusion
subject: Hazards
subject: Near-real-time monitoring
subject: Pattern recognition
subject: Artificial intelligence
subject: Data handling
subject: Data mining
subject: Data visualization
subject: Decision making
subject: Decision support systems
subject: Disasters
subject: Feature extraction
subject: Geographic information systems
subject: Information analysis
subject: Information dissemination
subject: Information retrieval
subject: Information use
subject: Microwave sensors
subject: Modal analysis
subject: Pattern recognition systems
subject: Real time systems
subject: Remote sensing
subject: Signal detection
subject: Change detection
subject: Coregistration
subject: Decision support system (dss)
subject: Information integration
subject: Integrated informations
subject: Multi-modal data
subject: Unmanned airborne vehicles
subject: Konferenzschrift
subject: Dewey Decimal Classification::000 | Allgemeines, Wissenschaft::000 | Informatik, Wissen, Systeme::000 | Informatik, Informationswissenschaft, allgemeine Werke
subject: Dewey Decimal Classification::500 | Naturwissenschaften::550 | Geowissenschaften

description: This paper will present the project RAPIDMAP. The project is part of CONCERT-Japan, an ERA-NET initiative funded through the FP7 INCO project frame for enhancing research cooperation between European countries and Japan on two topics, one of which is Resilience Against Disasters. The project started in June 2013 and has a duration of 2 years. In the paper, we will outline the aims of the project, methodologies and techniques to be developed and some test data. Remote Sensing (RS) and Geographic Information System (GIS) are powerful technologies for collecting useful information on the damages of disasters in short time. However, since many different types of RS data are available (satellite, aerial, UAV, terrestrial), data co-registration, information integration and feature extraction need reliable and advanced methodologies. In the RAPIDMAP project, we will develop practical ways to integrate RS data processing tools in near-real-time and allow users to use this data soon after the disasters by means of WebGIS tools. This will help not only decision makers but also end-users in the disaster area. The key components of this project are: (1) Near-real-time monitoring: the procedure of near-real-time monitoring with satellites as well as Unmanned Airborne Vehicles (UAV) will be set up and demonstrated. (2) Data co-registration: in disasters, various images as well as maps come from different sources. The co-registration of multiple images is a key technology for information integration. In this project, a system to co-register multiple images in near-real-time will be developed. (3) Data fusion and change detection: one of the advantages of RS is to collect information with multiple sensors. Various methods for fusing optical with active microwave (SAR) sensor data for information extraction and change detection will be developed. (4) Decision Support System (DSS) based on WebGIS technologies: the collected and integrated information has to be easily accessible and visible by decision makers and end-users in near-real-time and worldwide. By using WebGIS technologies, wireless networks and portable terminals, a DSS will allow easy access, retrieval and visualization of all information (fused data, images, maps, etc.) in very short time after data collection and processing. The project will be practically tested and demonstrated at the Tohoku area in Japan and another test site, which were recently affected by large disasters.