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Article: Ten years after Hurricane Katrina: monitoring recovery in New Orleans and the surrounding areas using remote sensing

TitleTen years after Hurricane Katrina: monitoring recovery in New Orleans and the surrounding areas using remote sensing
Authors
KeywordsChange detection
MODIS
High-resolution images
Landsat
Natural hazard
Issue Date2016
Citation
Science Bulletin, 2016, v. 61, n. 18, p. 1460-1470 How to Cite?
Abstract© 2016, Science China Press and Springer-Verlag Berlin Heidelberg. Remote sensing data have been widely used in pre-hazard prevention/preparation, emergency response and post-hazard recovery monitoring. Hurricane Katrina caused serious damage to the environment, society and economy in the southern United States in 2005. On the 10th anniversary of Hurricane Katrina, we monitored the recovery process in New Orleans and the surrounding area based on remote sensing. Results from multi-source remote sensing data indicated that the average vegetation conditions of the affected areas have not fully recovered compared with the pre-disaster conditions, especially in the hurricane’s landfall area. Analysis from moderate resolution Landsat data showed that many civil engineering works have been undertaken in the city of New Orleans to prevent future disasters. Frequent observation using high-resolution images recorded the progress of some of these civil construction projects (e.g. the 17th Street Canal pumping station) in New Orleans. In this case study, we illustrated the capabilities of remote sensing techniques in recovery monitoring following a natural disaster. International/institutional cooperation is suggested to improve Earth observation capability in hazard monitoring. More Chinese Earth observation data are expected to be used in international monitoring.
Persistent Identifierhttp://hdl.handle.net/10722/296792
ISSN
2023 Impact Factor: 18.8
2023 SCImago Journal Rankings: 2.807
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorLi, Xuecao-
dc.contributor.authorYu, Le-
dc.contributor.authorXu, Yidi-
dc.contributor.authorYang, Jun-
dc.contributor.authorGong, Peng-
dc.date.accessioned2021-02-25T15:16:41Z-
dc.date.available2021-02-25T15:16:41Z-
dc.date.issued2016-
dc.identifier.citationScience Bulletin, 2016, v. 61, n. 18, p. 1460-1470-
dc.identifier.issn2095-9273-
dc.identifier.urihttp://hdl.handle.net/10722/296792-
dc.description.abstract© 2016, Science China Press and Springer-Verlag Berlin Heidelberg. Remote sensing data have been widely used in pre-hazard prevention/preparation, emergency response and post-hazard recovery monitoring. Hurricane Katrina caused serious damage to the environment, society and economy in the southern United States in 2005. On the 10th anniversary of Hurricane Katrina, we monitored the recovery process in New Orleans and the surrounding area based on remote sensing. Results from multi-source remote sensing data indicated that the average vegetation conditions of the affected areas have not fully recovered compared with the pre-disaster conditions, especially in the hurricane’s landfall area. Analysis from moderate resolution Landsat data showed that many civil engineering works have been undertaken in the city of New Orleans to prevent future disasters. Frequent observation using high-resolution images recorded the progress of some of these civil construction projects (e.g. the 17th Street Canal pumping station) in New Orleans. In this case study, we illustrated the capabilities of remote sensing techniques in recovery monitoring following a natural disaster. International/institutional cooperation is suggested to improve Earth observation capability in hazard monitoring. More Chinese Earth observation data are expected to be used in international monitoring.-
dc.languageeng-
dc.relation.ispartofScience Bulletin-
dc.subjectChange detection-
dc.subjectMODIS-
dc.subjectHigh-resolution images-
dc.subjectLandsat-
dc.subjectNatural hazard-
dc.titleTen years after Hurricane Katrina: monitoring recovery in New Orleans and the surrounding areas using remote sensing-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1007/s11434-016-1167-y-
dc.identifier.scopuseid_2-s2.0-84986266461-
dc.identifier.volume61-
dc.identifier.issue18-
dc.identifier.spage1460-
dc.identifier.epage1470-
dc.identifier.eissn2095-9281-
dc.identifier.isiWOS:000384566600010-
dc.identifier.issnl2095-9273-

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