Remote sensing’s use in disaster research: a review

Showalter, Pamela S.

doi:10.1108/09653560110381796

Cited by 28 publications

(18 citation statements)

References 4 publications

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“…A few reviews have covered the field of satellite data applications for natural hazards [1][2][3][4]. Only some of them were concentrated on earthquake research [5][6][7].…”

Section: Introductionmentioning

confidence: 99%

Satellite Remote Sensing in Seismology. A Review

Тронин

2009

Remote Sensing

107

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A wide range of satellite methods is applied now in seismology. The first applications of satellite data for earthquake exploration were initiated in the '70s, when active faults were mapped on satellite images. It was a pure and simple extrapolation of airphoto geological interpretation methods into space. The modern embodiment of this method is alignment analysis. Time series of alignments on the Earth's surface are investigated before and after the earthquake. A further application of satellite data in seismology is related with geophysical methods. Electromagnetic methods have about the same long history of application for seismology. Stable statistical estimations of ionosphere-lithosphere relation were obtained based on satellite ionozonds. The most successful current project "DEMETER" shows impressive results. Satellite thermal infra-red data were applied for earthquake research in the next step. Numerous results have confirmed previous observations of thermal anomalies on the Earth's surface prior to earthquakes. A modern trend is the application of the outgoing long-wave radiation for earthquake research. In '80s a new technology-satellite radar interferometry-opened a new page. Spectacular pictures of co-seismic deformations were presented. Current researches are moving in the direction of pre-earthquake deformation detection. GPS technology is also widely used in seismology both for ionosphere sounding and for ground movement detection. Satellite gravimetry has demonstrated its first very impressive results on the example of the catastrophic Indonesian earthquake in 2004. Relatively new applications of remote sensing for seismology as atmospheric sounding, gas observations, and cloud analysis are considered as possible candidates for applications.

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“…A few reviews have covered the field of satellite data applications for natural hazards [1][2][3][4]. Only some of them were concentrated on earthquake research [5][6][7].…”

Section: Introductionmentioning

confidence: 99%

Satellite Remote Sensing in Seismology. A Review

Тронин

2009

Remote Sensing

107

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“…Satellite data are particularly useful for developing countries, as it is costly and time consuming for governments to update their databases with the traditional ground-based method due to lack of resources (Dong et al 1997 ) . Hence, the use of geospatial techniques in disaster management is evolving rapidly, as evidenced by scienti fi c research over the past few years (Showalter and Lu 2010 ;Taubenböck et al 2009 ;van Oosterom et al 2005 ;Sanyal and Lu 2004 ;Showalter 2001 ) .…”

Section: Vulnerability and Risk Assessment With Geospatial Techniquesmentioning

confidence: 98%

Hazards, Risk, and Vulnerability

Dewan

2013

Springer Geography

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Natural hazard terminologies with existing models of vulnerability, hazard, and risk are presented in this chapter. A conceptual framework has been developed based on hazard literature. The basic premise of the framework is based on Cutter's place of hazard theory with inputs from recent literature. In the framework, hazard is viewed as a threat that has the potential to overwhelm people, property, and the environment. It is a pre-existing condition that can turn into a catastrophe depending on the in fl uence of exogenous and endogenous factors. Exposure to hazard is treated as given and is an implicit element. The vulnerability element is perceived as the interactive effects of the social and physical aspects of a system (e.g., urban) regarding the causal process of hazards. Contrary to some conceptualizations, the framework views that the total vulnerability of a community depends on physical, social, and existing coping capacity attributes, and therefore, the calculation of the total vulnerability should consider these elements simultaneously. Risk is conceptualized as the product of hazard and vulnerability. To minimize the effects of disasters, it is imperative to take appropriate measures to reduce vulnerability rather than risk.The utilization of geospatial techniques in fl ood risk management is separated into three categories: fl ood mapping, damage assessment, and evaluation of fl ood risk and vulnerability. Biophysical and socioeconomic data that are sourced from remote sensing, census geography, and other spatial databases are employed to evaluate fl ood-related risk in diverse environments. A variety of methods-comprising inductive, deductive, and multi-criteria evaluation-are used to determine fl ood vulnerability and risk as evidenced by the literature survey. It reveals that geospatial techniques can be utilized effectively in the entire spectrum of the disaster cycle, which can save lives and property from natural hazards such as fl ood, as well as support informed decision making during emergencies.

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“…Hazards have either the potential to, or after occurring, do in fact disrupt the normal functioning of social systems and can result in human injury or death (Showalter, 2001). The primary impact from hurricanes is immediate and direct resulting from the effects of strong winds, heavy rainfall, and storm surge.…”

Section: Introductionmentioning

confidence: 99%

Hazard and Risk Assessment from Hurricane Ivan (2004) in Grenada using Geographical Information Systems and Remote Sensing

Khalid¹,

Babb²

2008

Journal of Maps

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Hurricanes are destructive storms with strong winds, intense storm surges, and heavy rainfall. The resulting impact from a hurricane can include structural damage to buildings and infrastructure, flooding, and ultimately loss of human life. This paper seeks to identify the impact of Hurricane Ivan on the affected population of Grenada, one of the Caribbean islands. Hurricane Ivan made landfall on 7th September 2004 and resulted in 80% of the population being adversely affected. The methods that were used to model these impacts involved performing hazard and risk assessments using GIS and remote sensing techniques. Spatial analyses were used to create a hazard and a risk map. Hazards were identified initially as those caused by storm surges, severe winds speeds, and flooding events related to Hurricane Ivan. These estimated hazards were then used to create a risk map. An innovative approach was adopted, including the use of hillshading to assess the damage caused by high wind speeds. This paper explains in detail the methodology used and the results produced.

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Remote sensing’s use in disaster research: a review

Cited by 28 publications

References 4 publications

Satellite Remote Sensing in Seismology. A Review

Satellite Remote Sensing in Seismology. A Review

Hazards, Risk, and Vulnerability

Hazard and Risk Assessment from Hurricane Ivan (2004) in Grenada using Geographical Information Systems and Remote Sensing

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