13 Citations (Scopus)

Abstract

Remote sensing of a natural disaster's damage offers an exciting backup and/or alternative to traditional means of on-site damage assessment. Although necessary for complete assessment of damage areas, ground-based damage surveys conducted in the aftermath of natural hazard passage can sometimes be potentially complicated due to on-site difficulties (e.g., interaction with various authorities and emergency services) and hazards (e.g., downed power lines, gas lines, etc.), the need for rapid mobilization (particularly for remote locations), and the increasing cost of rapid physical transportation of manpower and equipment. Satellite image analysis, because of its global ubiquity, its ability for repeated independent analysis, and, as we demonstrate here, its ability to verify on-site damage assessment provides an interesting new perspective and investigative aide to researchers. Using one of the strongest tornado events in US history, the 3 May 1999 Oklahoma City Tornado, as a case example, we digitized the tornado damage path and co-registered the damage path using pre- and post-Landsat Thematic Mapper image data to perform a damage assessment. We employed several geospatial approaches, specifically the Getis index, Geary's C, and two lacunarity approaches to categorize damage characteristics according to the original Fujita tornado damage scale (F-scale). Our results indicate strong relationships between spatial indices computed within a local window and tornado F-scale damage categories identified through the ground survey. Consequently, linear regression models, even incorporating just a single band, appear effective in identifying F-scale damage categories using satellite imagery. This study demonstrates that satellite-based geospatial techniques can effectively add spatial perspectives to natural disaster damages, and in particular for this case study, tornado damages.

Original languageEnglish (US)
Pages (from-to)707-719
Number of pages13
JournalNatural Hazards and Earth System Science
Volume8
Issue number4
StatePublished - Jul 1 2008

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natural disaster
tornado
damage
damage assessment
power line
natural hazard
Landsat thematic mapper
image analysis
satellite imagery
Landsat
mobilization
hazard
remote sensing

ASJC Scopus subject areas

  • Geology

Cite this

Categorizing natural disaster damage assessment using satellite-based geospatial techniques. / Myint, Soe; Yuan, M.; Cerveny, Randall; Giri, C.

In: Natural Hazards and Earth System Science, Vol. 8, No. 4, 01.07.2008, p. 707-719.

Research output: Contribution to journalArticle

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