The Management of Disasters

Coppola, Damon P.

doi:10.1016/b978-0-12-801477-6.00001-0

Cited by 39 publications

(52 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Remote sensing (RS)-as an effective and rapid tool for monitoring large areas-is essential for the acquisition of geospatial data, which in turn constitutes the basis for risk assessment and management. RS is widely used for various aspects of the DRM, ranging from vulnerability [8] to rapid damage assessments [9], for diverse areas ranging from coastal ecosystems [10] to complex urban settings [11], and for disasters as diverse as landslides [12,13] or cyclones [14].Numerous methods have been developed to extract information from RS data to identify, characterize, or quantify different phases of the disaster risk cycle: response, recovery, prevention/mitigation, and preparedness [15]. However, early studies predominantly considered the physical side of the assessments for both pre-and post-disaster phases and hazard assessment, using direct observations.…”

mentioning

confidence: 99%

“…Numerous methods have been developed to extract information from RS data to identify, characterize, or quantify different phases of the disaster risk cycle: response, recovery, prevention/mitigation, and preparedness [15]. However, early studies predominantly considered the physical side of the assessments for both pre-and post-disaster phases and hazard assessment, using direct observations.…”

mentioning

confidence: 99%

See 1 more Smart Citation

Remote Sensing-Based Proxies for Urban Disaster Risk Management and Resilience: A Review

2018

View full text Add to dashboard Cite

Rapid increase in population and growing concentration of capital in urban areas has escalated both the severity and longer-term impact of natural disasters. As a result, Disaster Risk Management (DRM) and reduction have been gaining increasing importance for urban areas. Remote sensing plays a key role in providing information for urban DRM analysis due to its agile data acquisition, synoptic perspective, growing range of data types, and instrument sophistication, as well as low cost. As a consequence numerous methods have been developed to extract information for various phases of DRM analysis. However, given the diverse information needs, only few of the parameters of interest are extracted directly, while the majority have to be elicited indirectly using proxies. This paper provides a comprehensive review of the proxies developed for two risk elements typically associated with pre-disaster situations (vulnerability and resilience), and two post-disaster elements (damage and recovery), while focusing on urban DRM. The proxies were reviewed in the context of four main environments and their corresponding sub-categories: built-up (buildings, transport, and others), economic (macro, regional and urban economics, and logistics), social (services and infrastructures, and socio-economic status), and natural. All environments and the corresponding proxies are discussed and analyzed in terms of their reliability and sufficiency in comprehensively addressing the selected DRM assessments. We highlight strength and identify gaps and limitations in current proxies, including inconsistencies in terminology for indirect measurements. We present a systematic overview for each group of the reviewed proxies that could simplify cross-fertilization across different DRM domains and may assist the further development of methods.While systemizing examples from the wider remote sensing domain and insights from social and economic sciences, we suggest a direction for developing new proxies, also potentially suitable for capturing functional recovery.2 of 30 threats, to reduce own overall vulnerability, and to allow the community to recover from adverse impacts when they occur. Decades of disaster research offer extensive findings in this respect [4][5][6][7]. Remote sensing (RS)-as an effective and rapid tool for monitoring large areas-is essential for the acquisition of geospatial data, which in turn constitutes the basis for risk assessment and management. RS is widely used for various aspects of the DRM, ranging from vulnerability [8] to rapid damage assessments [9], for diverse areas ranging from coastal ecosystems [10] to complex urban settings [11], and for disasters as diverse as landslides [12,13] or cyclones [14].Numerous methods have been developed to extract information from RS data to identify, characterize, or quantify different phases of the disaster risk cycle: response, recovery, prevention/mitigation, and preparedness [15]. However, early studies predominantly considered the physical side of the assessments for both ...

show abstract

mentioning

confidence: 99%

mentioning

confidence: 99%

Remote Sensing-Based Proxies for Urban Disaster Risk Management and Resilience: A Review

2018

View full text Add to dashboard Cite

show abstract

“…Many methods have been developed to extract information from RS data to measure and characterize different aspects of disaster risk management [17,31]. However, most existing studies have focused on physical assessments using direct observations, be it for hazard or risk assessment, but also to detect post-disaster damage or recovery.…”

Section: Literature Review and State Of The Artmentioning

confidence: 99%

Evaluating Resilience-Centered Development Interventions with Remote Sensing

Kerle

Ghaffarian

Nawrotzki³

et al. 2019

Remote Sensing

View full text Add to dashboard Cite

Natural disasters are projected to increase in number and severity, in part due to climate change. At the same time a growing number of disaster risk reduction (DRR) and climate change adaptation measures are being implemented by governmental and non-governmental organizations, and substantial post-disaster donations are frequently pledged. At the same time there has been increasing demand for transparency and accountability, and thus evidence of those measures having a positive effect. We hypothesized that resilience-enhancing interventions should result in less damage during a hazard event, or at least quicker recovery. In this study we assessed recovery over a 3 year period of seven municipalities in the central Philippines devastated by Typhoon Haiyan in 2013. We used very high resolution optical images (<1 m), and created detailed land cover and land use maps for four epochs before and after the event, using a machine learning approach with extreme gradient boosting. The spatially and temporally highly variable recovery maps were then statistically related to detailed questionnaire data acquired by DEval in 2012 and 2016, whose principal aim was to assess the impact of a 10 year land-planning intervention program by the German agency for technical cooperation (GIZ). The survey data allowed very detailed insights into DRR-related perspectives, motivations and drivers of the affected population. To some extent they also helped to overcome the principal limitation of remote sensing, which can effectively describe but not explain the reasons for differential recovery. However, while a number of causal links between intervention parameters and reconstruction was found, the common notion that a resilient community should recover better and more quickly could not be confirmed. The study also revealed a number of methodological limitations, such as the high cost for commercial image data not matching the spatially extensive but also detailed scale of field evaluations, the remote sensing analysis likely overestimating damage and thus providing incorrect recovery metrics, and image data catalogues especially for more remote communities often being incomplete. Nevertheless, the study provides a valuable proof of concept for the synergies resulting from an integration of socio-economic survey data and remote sensing imagery for recovery assessment.

show abstract

“…On the other hand, Coppola (2015) stated that a comprehensive disaster management is based upon four distinct components: mitigation, preparedness, response and recovery. Twigg (2004: 13) defined mitigation as "any action to minimise the impact of potential disaster.…”

Section: Disaster Managementmentioning

confidence: 99%

Strategies for Community Participation in Pre-Disaster Phase in the Gaza Strip, Palestine

Enshassi¹,

Shakalaih)²,

Alkilani³

2019

JCDC

View full text Add to dashboard Cite

The objective of this paper is to identify and investigate the strategies utilised by local communities in the Gaza Strip, Palestine in pre-disaster stage. Twenty four community participation-pre-disaster strategies were compiled from the literature and refined according to the pilot study. A purposive sampling method of 86 community members in neighborhood committees was employed to collect the data. The results obtained from the exploratory factor analysis clustered the community participation strategies into three components, namely: preparing effective coordination and management plans, preparing information and knowledge system and providing early warning and communication plans. Non-Governmental Organisations (NGOs) in Gaza governorates require a common understanding of what creates effective disaster preparedness system. Risks threatening Gaza Strip cannot be prevented, but their human, socio-economic and environmental impacts can and should be minimised through appropriate measures, including early warning. The early warning system in Gaza governorates is considered weak and need to be developed. There is a need to disseminate early warning protocols of every type of risks in Gaza Strip for local communities. The findings of this research will be significant concerning the present and future of organisational planning and management by both governmental and NGOs regarding disaster management practice and community participation in pre-disaster phase.

show abstract

The Management of Disasters

Cited by 39 publications

References 3 publications

Remote Sensing-Based Proxies for Urban Disaster Risk Management and Resilience: A Review

Remote Sensing-Based Proxies for Urban Disaster Risk Management and Resilience: A Review

Evaluating Resilience-Centered Development Interventions with Remote Sensing

Strategies for Community Participation in Pre-Disaster Phase in the Gaza Strip, Palestine

Contact Info

Product

Resources

About