Multi-level geospatial modeling of human exposure patterns and vulnerability indicators

Aubrecht, Christoph; Özceylan, Dilek; Steinnocher, Klaus; Freire, Sérgio

doi:10.1007/s11069-012-0389-9

Cited by 86 publications

(68 citation statements)

References 22 publications

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“…Notably, related studies aimed at an integrative view and considered numerous parameters for a holistic characterization and assessment of vulnerability (e.g., Taubenböck et al 2008;Ebert et al 2009;Prasad et al 2009;Taubenböck et al 2009a;Zeng et al 2012). Therefore, the derivation of a wide variety of vulnerability-related parameters from remote sensing comprising for example population (e.g., Dobson et al 2000;Taubenböck et al 2007;Chen 2002;Aubrecht et al 2012), and properties of the built environment (e.g., Mueller et al 2006;French and Muthukumar 2006;Sahar et al 2010), among others, was explored.…”

Section: Second Phasementioning

confidence: 99%

One step back for a leap forward: toward operational measurements of elements at risk

Geiß

Taubenböck

2017

Nat Hazards

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Section: Second Phasementioning

confidence: 99%

One step back for a leap forward: toward operational measurements of elements at risk

Geiß

Taubenböck

2017

Nat Hazards

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“…The latter would involve equating spatial resolution, coverage frequency, and cost to fit within the range of planning limitations. Detailed and practical street-level planning may still be beyond the capabilities of existing satellite sensor data [33], but at the block and neighborhood scales there are many planning policies that can be based on satellite sensor data, such as measuring building density, greenness-to-imperviousness balances, roof insulation, zoning, and sprawl [34,35].…”

Section: Urban Compositionmentioning

confidence: 99%

“…Maps of urban population maps are used to assess health risks [35], to quantify environmental impacts of urbanization [36,37], and to assess urban infrastructures [38,39]. Early work using remote sensing inferred population by counting housing structures in aerial photography or quantifying mixtures or shifts of classified urban land cover [40].…”

Section: Populationmentioning

confidence: 99%

Supporting Global Environmental Change Research: A Review of Trends and Knowledge Gaps in Urban Remote Sensing

et al. 2014

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This paper reviews how remotely sensed data have been used to understand the impact of urbanization on global environmental change. We describe how these studies can support the policy and science communities' increasing need for detailed and up-to-date information on the multiple dimensions of cities, including their social, biological, physical, and infrastructural characteristics. Because the interactions between urban and surrounding areas are complex, a synoptic and spatial view offered from remote sensing is integral to measuring, modeling, and understanding these relationships. Here we focus on OPEN ACCESSRemote Sens. 2014, 6 3880 three themes in urban remote sensing science: mapping, indices, and modeling. For mapping we describe the data sources, methods, and limitations of mapping urban boundaries, land use and land cover, population, temperature, and air quality. Second, we described how spectral information is manipulated to create comparative biophysical, social, and spatial indices of the urban environment. Finally, we focus how the mapped information and indices are used as inputs or parameters in models that measure changes in climate, hydrology, land use, and economics.

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“…Population data is therefore a basic necessity for human exposure analysis, with its quality and level of detail having a direct effect on response and lives saved (NRC, 2007). Updated and detailed mapping of population distribution at appropriate spatial and temporal scales provides an important basis for decision support in every phase of the emergency management cycle (Sutton et al, 2003;Freire, 2010;Aubrecht et al, 2012a). Concerning the spatial dimension, disaster risk reduction and mitigation demand measures implemented at local level, which requires understanding of vulnerabilities at compatible scales (Lerner-Lam, 2007).…”

Section: The Importance Of Population Dynamics For Disaster Risk Assementioning

confidence: 99%

Integrating population dynamics into mapping human exposure to seismic hazard

Freire

Aubrecht

2012

Nat. Hazards Earth Syst. Sci.

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Abstract. Disaster risk is not fully characterized without taking into account vulnerability and population exposure. Assessment of earthquake risk in urban areas would benefit from considering the variation of population distribution at more detailed spatial and temporal scales, and from a more explicit integration of this improved demographic data with existing seismic hazard maps. In the present work, "intelligent" dasymetric mapping is used to model population dynamics at high spatial resolution in order to benefit the analysis of spatio-temporal exposure to earthquake hazard in a metropolitan area. These night-and daytime-specific population densities are then classified and combined with seismic intensity levels to derive new spatially-explicit four-classcomposite maps of human exposure. The presented approach enables a more thorough assessment of population exposure to earthquake hazard. Results show that there are significantly more people potentially at risk in the daytime period, demonstrating the shifting nature of population exposure in the daily cycle and the need to move beyond conventional residence-based demographic data sources to improve risk analyses. The proposed fine-scale maps of human exposure to seismic intensity are mainly aimed at benefiting visualization and communication of earthquake risk, but can be valuable in all phases of the disaster management process where knowledge of population densities is relevant for decisionmaking.

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Multi-level geospatial modeling of human exposure patterns and vulnerability indicators

Cited by 86 publications

References 22 publications

One step back for a leap forward: toward operational measurements of elements at risk

One step back for a leap forward: toward operational measurements of elements at risk

Supporting Global Environmental Change Research: A Review of Trends and Knowledge Gaps in Urban Remote Sensing

Integrating population dynamics into mapping human exposure to seismic hazard

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