Rapidmap - Rapid mapping and information dissemination for disasters using remote sensing and geoinformation

Zur Kurzanzeige

dc.identifier.uri http://dx.doi.org/10.15488/974
dc.identifier.uri http://www.repo.uni-hannover.de/handle/123456789/998
dc.contributor.author Baltsavias, E.
dc.contributor.author Cho, K.
dc.contributor.author Remondino, F.
dc.contributor.author Sörgel, Uwe
dc.contributor.author Wakabayashi, H.
dc.contributor.editor Sunar, F.
dc.contributor.editor Altan, O.
dc.contributor.editor Schindler, K.
dc.contributor.editor Jiang, J.
dc.contributor.editor Li, S.
dc.date.accessioned 2016-12-22T10:06:45Z
dc.date.available 2016-12-22T10:06:45Z
dc.date.issued 2013
dc.identifier.citation Baltsavias, E.; Cho, K.; Remondino, F.; Soergel, U.; Wakabayashi, H.: Rapidmap - Rapid mapping and information dissemination for disasters using remote sensing and geoinformation. In: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives 40 (2013), Nr. 7W2, S. 31-35. DOI: https://doi.org/10.5194/isprsarchives-XL-7-W2-31-2013
dc.description.abstract 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. eng
dc.language.iso eng
dc.publisher Göttingen : Copernicus GmbH
dc.relation.ispartof ISPRS Conference Serving Society with Geoinformatics (ISPRS2013-SSG) : Antalya, Turkey, 11-17 November 2013
dc.relation.ispartofseries The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ; XL-7/W2
dc.rights CC BY 3.0 Unported
dc.rights.uri https://creativecommons.org/licenses/by/3.0/
dc.subject Data co-registration eng
dc.subject Data fusion eng
dc.subject Hazards eng
dc.subject Near-real-time monitoring eng
dc.subject Pattern recognition eng
dc.subject Artificial intelligence eng
dc.subject Data handling eng
dc.subject Data mining eng
dc.subject Data visualization eng
dc.subject Decision making eng
dc.subject Decision support systems eng
dc.subject Disasters eng
dc.subject Feature extraction eng
dc.subject Geographic information systems eng
dc.subject Information analysis eng
dc.subject Information dissemination eng
dc.subject Information retrieval eng
dc.subject Information use eng
dc.subject Microwave sensors eng
dc.subject Modal analysis eng
dc.subject Pattern recognition eng
dc.subject Pattern recognition systems eng
dc.subject Real time systems eng
dc.subject Remote sensing eng
dc.subject Signal detection eng
dc.subject Change detection eng
dc.subject Coregistration eng
dc.subject Decision support system (dss) eng
dc.subject Information integration eng
dc.subject Integrated informations eng
dc.subject Multi-modal data eng
dc.subject Near-real-time monitoring eng
dc.subject Unmanned airborne vehicles eng
dc.subject.classification Konferenzschrift ger
dc.subject.ddc 000 | Informatik, Informationswissenschaft, allgemeine Werke ger
dc.subject.ddc 550 | Geowissenschaften ger
dc.title Rapidmap - Rapid mapping and information dissemination for disasters using remote sensing and geoinformation
dc.type Article
dc.type Text
dc.relation.essn 2194-9034
dc.relation.isbn 978-1-62993-429-7
dc.relation.issn 1682-1750
dc.relation.doi https://doi.org/10.5194/isprsarchives-XL-7-W2-31-2013
dc.relation.doi https://doi.org/10.5194/isprsarchives-xl-7-w2-31-2013
dc.bibliographicCitation.issue 7W2
dc.bibliographicCitation.volume XL-7/W2
dc.bibliographicCitation.firstPage 31
dc.bibliographicCitation.lastPage 35
dc.description.version publishedVersion
tib.accessRights frei zug�nglich


Die Publikation erscheint in Sammlung(en):

Zur Kurzanzeige

 

Suche im Repositorium


Durchblättern

Mein Nutzer/innenkonto

Nutzungsstatistiken