The paper highlight the usage of space borne products to address reliable indicators and aggregation methodologies for tracking the dynamic physical exposure of urban areas to natural disasters. The active view of cities due to the population growth and the increasing urbanization trends lead to a general risk underestimation. Such a result is particularly observed where urban planning is not considered a priority or in areas of non-frequent hazards like earthquakes. The regular consequence of such situation would be people indifference to inhibit hazard-prone areas. The critical point of creating a guided development is by instantaneously monitoring and controlling it. Mainly the sources for such process would be either the slow statistical records (Census) or the separate studies that might lack the statistical significance due to several reasons like their restricted areas of coverage, the limited number of specimens or for being a temporal snap shot of the current situation. In addition to that, the problem gets more complicated when we want to consider areas with access difficulty or data scarcity. The on-going developments of space borne technology have created an expanding hole in the wall of time barrier and though enabled getting the necessary geo-information near the real time. The different capabilities of the sensors used would allow extracting reliable physical indicators of a wide urban area within relatively short time. The reliable extracted indicators like building size, height, occupancy, location, and the usage class‎, when aggregated using a convenient methodology, would enrich the knowledge of the spatial and temporal variation of the physical exposure ‎and thus increase our precision in developing new generation of risk assessment models. Moreover, the foreseen limitation of such monitoring technology like the low accuracy could be counteracted by a convenient integration with ancillary data sources to create a more consistent model. All the above issues are addressed in projects like GEM-IDCT and the FP7 Space SENSUM Project, which will be discussed in the paper.

Insights on Earth Observation Capabilities in Updating the Spatial Distribution of Exposed Values in Quake-Prone Areas

HARB, MOSTAPHA;DELL'ACQUA, FABIO
2013-01-01

Abstract

The paper highlight the usage of space borne products to address reliable indicators and aggregation methodologies for tracking the dynamic physical exposure of urban areas to natural disasters. The active view of cities due to the population growth and the increasing urbanization trends lead to a general risk underestimation. Such a result is particularly observed where urban planning is not considered a priority or in areas of non-frequent hazards like earthquakes. The regular consequence of such situation would be people indifference to inhibit hazard-prone areas. The critical point of creating a guided development is by instantaneously monitoring and controlling it. Mainly the sources for such process would be either the slow statistical records (Census) or the separate studies that might lack the statistical significance due to several reasons like their restricted areas of coverage, the limited number of specimens or for being a temporal snap shot of the current situation. In addition to that, the problem gets more complicated when we want to consider areas with access difficulty or data scarcity. The on-going developments of space borne technology have created an expanding hole in the wall of time barrier and though enabled getting the necessary geo-information near the real time. The different capabilities of the sensors used would allow extracting reliable physical indicators of a wide urban area within relatively short time. The reliable extracted indicators like building size, height, occupancy, location, and the usage class‎, when aggregated using a convenient methodology, would enrich the knowledge of the spatial and temporal variation of the physical exposure ‎and thus increase our precision in developing new generation of risk assessment models. Moreover, the foreseen limitation of such monitoring technology like the low accuracy could be counteracted by a convenient integration with ancillary data sources to create a more consistent model. All the above issues are addressed in projects like GEM-IDCT and the FP7 Space SENSUM Project, which will be discussed in the paper.
2013
9789292212865
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11571/760836
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