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A geographic investigation of hazard...

Keys-Mathews, Lisa D.

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A geographic investigation of hazards, disasters and recovery using satellite imagery.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	A geographic investigation of hazards, disasters and recovery using satellite imagery./
作者:	Keys-Mathews, Lisa D.
面頁冊數:	254 p.
附註:	Adviser: Arleen A. Hill.
Contained By:	Dissertation Abstracts International68-08B.
標題:	Physical Geography. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3276713
ISBN:	9780549185918

A geographic investigation of hazards, disasters and recovery using satellite imagery.
Keys-Mathews, Lisa D.

A geographic investigation of hazards, disasters and recovery using satellite imagery. - 254 p.

Adviser: Arleen A. Hill.

Thesis (Ph.D.)--The University of Memphis, 2007.

Disaster recovery is depicted on the landscape by change through time. Given the classic uses of remote sensing for detecting change, this dissertation assessed the applicability of remote sensing image analysis to the study of long-term recovery from disasters. Because recovery is complex and dynamic a framework was that established that divided the recovery landscape into three components: the built, relief, and natural environments. Four study sites were selected for this research representing three types of hazard events (earthquakes, tsunami and hurricane), three climatic environments (tropical, dry and humid subtropical), and four cultures (Iran, Indonesia, Peru and the United States). The four disasters occurred between 2001 and 2005 with each a catastrophic event.

ISBN: 9780549185918Subjects--Topical Terms:

893400
Physical Geography.

A geographic investigation of hazards, disasters and recovery using satellite imagery.
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245 1 2 $a A geographic investigation of hazards, disasters and recovery using satellite imagery.
300 $a 254 p.
500 $a Adviser: Arleen A. Hill.
500 $a Source: Dissertation Abstracts International, Volume: 68-08, Section: B, page: 5095.
502 $a Thesis (Ph.D.)--The University of Memphis, 2007.
520 $a Disaster recovery is depicted on the landscape by change through time. Given the classic uses of remote sensing for detecting change, this dissertation assessed the applicability of remote sensing image analysis to the study of long-term recovery from disasters. Because recovery is complex and dynamic a framework was that established that divided the recovery landscape into three components: the built, relief, and natural environments. Four study sites were selected for this research representing three types of hazard events (earthquakes, tsunami and hurricane), three climatic environments (tropical, dry and humid subtropical), and four cultures (Iran, Indonesia, Peru and the United States). The four disasters occurred between 2001 and 2005 with each a catastrophic event.
520 $a To begin the research, a list of diagnostic features of recovery was created through field observations, reconnaissance reports, descriptions of disaster recovery case studies, and current literature. These features were then documented in the satellite imagery as examples of their portrayal on the landscape. Second, elements of each environment (built, relief, and natural) were explored through application of digital image processing techniques including: principal components analysis, texture analysis, normalized differenced vegetation index, and digital image classification. Each of these techniques was applied to the imagery with the final results being a digital analysis through time. Finally, the analysis was integrated to determine if differential recovery was visible through the analysis of satellite imagery. This neighborhood scale investigation compared satellite imagery findings to a rapid visual assessment in Gulfport and synthesized the findings toward an understanding of differential recovery.
520 $a This dissertation determined that satellite imagery and remote sensing techniques supported by fieldwork are appropriate and valuable tools in the study of disaster recovery. Features and processes of recovery were interpretable in satellite imagery both visually and through digital enhancement regardless of place, hazard and culture dependence. Features of the relief environment were place independent and recognizable by their appearance and disappearance; features in the built and natural environments are place and hazard specific which support the necessity of cultural understanding of the disaster area. The relief environment may ultimately be central to establishing an index of recovery.
590 $a School code: 1194.
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650 4 $a Remote Sensing. $3 1018559
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