A tool for rapid post-hurricane urban tree debris estimates using high resolution aerial imagery

Coastal communities in the southeast United States have regularly experienced severe hurricane impacts. To better facilitate recovery efforts in these communities following natural disasters, state and federal agencies must respond quickly with information regarding the extent and severity of hurric...

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Autores Principales: Szantoi, Zoltan, Malone, Sparkle, Escobedo, Francisco, Misas, Orlando, Smith, Scot, Dewitt, Bon
Formato: Artículo (Article)
Lenguaje:Inglés (English)
Publicado: Elsevier 2012
Materias:
Acceso en línea:https://repository.urosario.edu.co/handle/10336/27875
https://doi.org/10.1016/j.jag.2011.10.009
id ir-10336-27875
recordtype dspace
spelling ir-10336-278752020-08-19T14:44:23Z A tool for rapid post-hurricane urban tree debris estimates using high resolution aerial imagery Una herramienta para estimaciones rápidas de escombros de árboles urbanos después de un huracán utilizando imágenes aéreas de alta resolución Szantoi, Zoltan Malone, Sparkle Escobedo, Francisco Misas, Orlando Smith, Scot Dewitt, Bon Hurricane debrisassessment Edge detection Color filtering Urban forest management Coastal communities in the southeast United States have regularly experienced severe hurricane impacts. To better facilitate recovery efforts in these communities following natural disasters, state and federal agencies must respond quickly with information regarding the extent and severity of hurricane damage and the amount of tree debris volume. A tool was developed to detect downed trees and debris volume to better aid disaster response efforts and tree debris removal. The tool estimates downed tree debris volume in hurricane affected urban areas using a Leica Airborne Digital Sensor (ADS40) and very high resolution digital images. The tool employs a Sobel edge detection algorithm combined with spectral information based on color filtering using 15 different statistical combinations of spectral bands. The algorithm identified downed tree edges based on contrasts between tree stems, grass, and asphalt and color filtering was then used to establish threshold values. Colors outside these threshold values were replaced and excluded from the detection processes. Results were overlaid and an “edge line” was placed where lines or edges from longer consecutive segments and color values within the threshold were met. Where two lines were paired within a very short distance in the scene a polygon was drawn automatically and, in doing so, downed tree stems were detected. Tree stem diameter–volume bulking factors were used to estimate post-hurricane tree debris volumes. Images following Hurricane Ivan in 2005 and Hurricane Ike in 2008 were used to assess the error of the tool by comparing downed tree counts and subsequent debris volume estimates with post-hurricane photo-interpreted downed tree counts and actual field measured estimates of downed tree debris volume. The errors associated with the use of the tool and potential applications are also presented. 2012-08-01 2020-08-19T14:44:23Z info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion ISSN: 1569-8432 EISSN: 0303-2434 https://repository.urosario.edu.co/handle/10336/27875 https://doi.org/10.1016/j.jag.2011.10.009 eng info:eu-repo/semantics/restrictedAccess application/pdf Elsevier International Journal of Applied Earth Observation and Geoinformation
institution EdocUR - Universidad del Rosario
collection DSpace
language Inglés (English)
topic Hurricane debrisassessment
Edge detection
Color filtering
Urban forest management
spellingShingle Hurricane debrisassessment
Edge detection
Color filtering
Urban forest management
Szantoi, Zoltan
Malone, Sparkle
Escobedo, Francisco
Misas, Orlando
Smith, Scot
Dewitt, Bon
A tool for rapid post-hurricane urban tree debris estimates using high resolution aerial imagery
description Coastal communities in the southeast United States have regularly experienced severe hurricane impacts. To better facilitate recovery efforts in these communities following natural disasters, state and federal agencies must respond quickly with information regarding the extent and severity of hurricane damage and the amount of tree debris volume. A tool was developed to detect downed trees and debris volume to better aid disaster response efforts and tree debris removal. The tool estimates downed tree debris volume in hurricane affected urban areas using a Leica Airborne Digital Sensor (ADS40) and very high resolution digital images. The tool employs a Sobel edge detection algorithm combined with spectral information based on color filtering using 15 different statistical combinations of spectral bands. The algorithm identified downed tree edges based on contrasts between tree stems, grass, and asphalt and color filtering was then used to establish threshold values. Colors outside these threshold values were replaced and excluded from the detection processes. Results were overlaid and an “edge line” was placed where lines or edges from longer consecutive segments and color values within the threshold were met. Where two lines were paired within a very short distance in the scene a polygon was drawn automatically and, in doing so, downed tree stems were detected. Tree stem diameter–volume bulking factors were used to estimate post-hurricane tree debris volumes. Images following Hurricane Ivan in 2005 and Hurricane Ike in 2008 were used to assess the error of the tool by comparing downed tree counts and subsequent debris volume estimates with post-hurricane photo-interpreted downed tree counts and actual field measured estimates of downed tree debris volume. The errors associated with the use of the tool and potential applications are also presented.
format Artículo (Article)
author Szantoi, Zoltan
Malone, Sparkle
Escobedo, Francisco
Misas, Orlando
Smith, Scot
Dewitt, Bon
author_facet Szantoi, Zoltan
Malone, Sparkle
Escobedo, Francisco
Misas, Orlando
Smith, Scot
Dewitt, Bon
author_sort Szantoi, Zoltan
title A tool for rapid post-hurricane urban tree debris estimates using high resolution aerial imagery
title_short A tool for rapid post-hurricane urban tree debris estimates using high resolution aerial imagery
title_full A tool for rapid post-hurricane urban tree debris estimates using high resolution aerial imagery
title_fullStr A tool for rapid post-hurricane urban tree debris estimates using high resolution aerial imagery
title_full_unstemmed A tool for rapid post-hurricane urban tree debris estimates using high resolution aerial imagery
title_sort tool for rapid post-hurricane urban tree debris estimates using high resolution aerial imagery
publisher Elsevier
publishDate 2012
url https://repository.urosario.edu.co/handle/10336/27875
https://doi.org/10.1016/j.jag.2011.10.009
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