Please use this identifier to cite or link to this item:
http://hdl.handle.net/2122/1821
DC Field | Value | Language |
---|---|---|
dc.contributor.authorall | Stramondo, S.; Istituto Nazionale di Geofisica e Vulcanologia, Sezione Roma1, Roma, Italia | en |
dc.contributor.authorall | Bignami, C.; Department of Electronic Engineering, University La Sapienza | en |
dc.contributor.authorall | Chini, M.; Department of Physics, University of Bologna | en |
dc.contributor.authorall | Pierdicca, N.; Department of Electronic Engineering, University La Sapienza | en |
dc.contributor.authorall | Tertulliani, A.; Istituto Nazionale di Geofisica e Vulcanologia, Sezione Roma1, Roma, Italia | en |
dc.date.accessioned | 2006-10-18T07:16:58Z | en |
dc.date.available | 2006-10-18T07:16:58Z | en |
dc.date.issued | 2006-10-20 | en |
dc.identifier.uri | http://hdl.handle.net/2122/1821 | en |
dc.description.abstract | In case of a seismic event, a fast and draft damage map of the hit urban areas can be very useful, in particular when the epicentre of the earthquake is located in remote regions, or the main communication systems are damaged. Our aim is to analyse the capability of remote sensing techniques for damage detection in urban areas and to explore the combined use of radar (SAR) and optical satellite data. Two case studies have been proposed: Izmit (1999; Turkey) and Bam (2003; Iran). Both areas have been affected by strong earthquakes causing heavy and extended damage in the urban settlements close to the epicentre. Different procedures for damage assessment have been successfully tested, either to perform a pixel by pixel classification or to assess damage within homogeneous extended areas. We have compared change detection capabilities of different features extracted from optical and radar data, and analysed the potential of combining measurements at different frequency ranges. Regarding the Izmit case, SAR features alone have reached 70% of correct classification of damaged areas and 5 m panchromatic optical images have given 82%; the fusion of SAR and optical data raised up to 89% of correct pixel‐to‐pixel classification. The same procedures applied to the Bam test case achieved about 61% of correct classification from SAR alone, 70% from optical data, while data fusion reached 76%. The results of the correlation between satellite remote sensing and ground surveys data have been presented by comparing remotely change detection features averaged within homogeneous blocks of buildings with ground survey data. | en |
dc.format.extent | 807089 bytes | en |
dc.format.mimetype | application/pdf | en |
dc.language.iso | English | en |
dc.publisher.name | Taylor & Francis | en |
dc.relation.ispartof | International Journal of Remote Sensing | en |
dc.relation.ispartofseries | 20/27 (2006) | en |
dc.subject | InSAR | en |
dc.subject | damage detection | en |
dc.subject | Optical data | en |
dc.subject | Urban areas | en |
dc.title | Satellite radar and optical remote sensing for earthquake damage detection: results from different case studies | en |
dc.type | article | en |
dc.description.status | Published | en |
dc.type.QualityControl | Peer-reviewed | en |
dc.description.pagenumber | 4433 - 4447 | en |
dc.identifier.URL | http://www.journalsonline.tandf.co.uk/openurl.asp?genre=article&issn=0143-1161&volume=27&issue=20&spage=4433 | en |
dc.subject.INGV | 04. Solid Earth::04.03. Geodesy::04.03.06. Measurements and monitoring | en |
dc.subject.INGV | 04. Solid Earth::04.03. Geodesy::04.03.07. Satellite geodesy | en |
dc.subject.INGV | 04. Solid Earth::04.03. Geodesy::04.03.09. Instruments and techniques | en |
dc.subject.INGV | 04. Solid Earth::04.06. Seismology::04.06.06. Surveys, measurements, and monitoring | en |
dc.subject.INGV | 04. Solid Earth::04.06. Seismology::04.06.11. Seismic risk | en |
dc.identifier.doi | 10.1080/01431160600675895 | en |
dc.contributor.affiliation | Istituto Nazionale di Geofisica e Vulcanologia | en |
dc.description.fulltext | partially_open | en |
dc.contributor.author | Stramondo, S. | en |
dc.contributor.author | Bignami, C. | en |
dc.contributor.author | Chini, M. | en |
dc.contributor.author | Pierdicca, N. | en |
dc.contributor.author | Tertulliani, A. | en |
dc.contributor.department | Istituto Nazionale di Geofisica e Vulcanologia, Sezione Roma1, Roma, Italia | en |
dc.contributor.department | Department of Electronic Engineering, University La Sapienza | en |
dc.contributor.department | Department of Electronic Engineering, University La Sapienza | en |
dc.contributor.department | Istituto Nazionale di Geofisica e Vulcanologia, Sezione Roma1, Roma, Italia | en |
item.openairetype | article | - |
item.cerifentitytype | Publications | - |
item.languageiso639-1 | en | - |
item.grantfulltext | restricted | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.fulltext | With Fulltext | - |
crisitem.author.dept | Istituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione ONT, Roma, Italia | - |
crisitem.author.dept | Istituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione ONT, Roma, Italia | - |
crisitem.author.dept | Luxembourg Institute of Science and Technology (LIST) | - |
crisitem.author.dept | Sapienza Università di Roma | - |
crisitem.author.dept | Istituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione Roma1, Roma, Italia | - |
crisitem.author.orcid | 0000-0003-0163-7647 | - |
crisitem.author.orcid | 0000-0002-8632-9979 | - |
crisitem.author.orcid | 0000-0002-3746-0858 | - |
crisitem.author.parentorg | Istituto Nazionale di Geofisica e Vulcanologia | - |
crisitem.author.parentorg | Istituto Nazionale di Geofisica e Vulcanologia | - |
crisitem.author.parentorg | Istituto Nazionale di Geofisica e Vulcanologia | - |
crisitem.classification.parent | 04. Solid Earth | - |
crisitem.classification.parent | 04. Solid Earth | - |
crisitem.classification.parent | 04. Solid Earth | - |
crisitem.classification.parent | 04. Solid Earth | - |
crisitem.classification.parent | 04. Solid Earth | - |
crisitem.department.parentorg | Istituto Nazionale di Geofisica e Vulcanologia | - |
crisitem.department.parentorg | Istituto Nazionale di Geofisica e Vulcanologia | - |
Appears in Collections: | Article published / in press Article published / in press Manuscripts |
Files in This Item:
File | Description | Size | Format | Existing users please Login |
---|---|---|---|---|
IJRS_satellite_damage_detection.pdf | 788.17 kB | Adobe PDF | ||
IJRS_Stramondo_damage.doc | manuscript | 5.74 MB | Microsoft Word | View/Open |
WEB OF SCIENCETM
Citations
50
116
checked on Feb 10, 2021
Page view(s) 50
211
checked on Apr 24, 2024
Download(s) 5
2,103
checked on Apr 24, 2024