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Auteur Carol J. Friedland |
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High resolution imagery collection for post-disaster studies utilizing unmanned aircraft systems (UAS) / Stuart M. Adams in Photogrammetric Engineering & Remote Sensing, PERS, vol 80 n° 12 (December 2014)
[article]
Titre : High resolution imagery collection for post-disaster studies utilizing unmanned aircraft systems (UAS) Type de document : Article/Communication Auteurs : Stuart M. Adams, Auteur ; Marc L. Levitan, Auteur ; Carol J. Friedland, Auteur Année de publication : 2014 Article en page(s) : pp 1161 - 1168 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s)
[Termes IGN] Alabama (Etats-Unis)
[Termes IGN] catastrophe naturelle
[Termes IGN] drone
[Termes IGN] image à haute résolution
[Termes IGN] photographie aérienne
[Termes IGN] prise de vue aérienne
[Termes IGN] tempêteRésumé : (auteur) This paper examines the use of unmanned aircraft systems (UAS) to capture imagery for use in post-disaster field studies at the neighborhood and individual building level. A discussion of post-disaster imagery collection including satellite, aerial, and ground-based platforms is first presented. Applications of UAS in recent disasters as described in the literature are then surveyed, and a case study investigating UAS capabilities for imagery collection following an EF-3 tornado in northern Alabama on 02 March 2012 is presented. Case study considerations include the multi-rotor unmanned aerial vehicle (UAVj equipment and ground station, onboard imagery devices, flight considerations and capabilities, and imagery aid metadata collection capabilities of the UAS. Sample post-tornado imagery of building damage is shown, demonstrating the order of magnitude improvement in imagery resolution compared to traditional post-disaster aerial photography. Numéro de notice : A2014-671 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.80.12.1161 En ligne : https://doi.org/10.14358/PERS.80.12.1161 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=75130
in Photogrammetric Engineering & Remote Sensing, PERS > vol 80 n° 12 (December 2014) . - pp 1161 - 1168[article]