Insights on Earth Observation Capabilities in Updating the Spatial Distribution of Exposed Values in Quake-Prone Areas
Harb, Mostapha1; Dell’Acqua, Fabio2
1University of Pavia, ITALY; 2EUCENTRE, ITALY

The paper highlight the usage of space borne products to address reliable indicators and ıaggregation methodologies for tracking the dynamic physical exposure of urban areas to ınatural disasters. The active view of cities due to the population growth and the increasing ıurbanization trends lead to a general risk underestimation. Such a result is particularly ıobserved where urban planning is not considered a priority or in areas of non-frequent ıhazards like earthquakes. The regular consequence of such situation would be people ıindifference to inhibit hazard-prone areas. The critical pointş şı of creating a guided ıdevelopment is by instantaneously monitoring and controlling it. Mainly the sources for such ıprocess would be either the slow statistical records (Census) or the separate studies that ımight lack the statistical significance due to several reasons like their restricted areas of ıcoverage, the limited number of specimens or for being a temporal snap shot of the current ısituation. In addition to that, the problem gets more complicated when we want to consider ıareas with access difficulty or data scarcity. The on-going developments of space borne ıtechnology have created an expanding hole in the wall of time barrier and though enabled ıgetting the necessary geo-information near the real time. The different capabilities of the ısensors used would allow extracting reliable physical indicators of a wide urban area within ırelatively short time. The reliable extracted indicators like building size, height, occupancy, ılocation, and the usage classı, when aggregated using a convenient methodology, would ıenrich the knowledge of the spatial and temporal variation of the physical exposure ıand ıthus increase our precision in developing new generation of risk assessment models. ıMoreover, the foreseen limitation of such monitoring technology like the low accuracy ıcould be counteracted by a convenient integration with ancillary data sources to create a ımore consistent model. All the above issues are addressed in projects like GEM-IDCT and ıthe FP7 Space SENSUM Project, which will be discussed in the paper.ı