The existence of elevation errors in the Digital Elevation Models (DEMs) usually is ignored, during spatial analysis of risk assessment and disaster management problems. As a result, conclusions are extracted, decisions are taken and actions are designed and executed, while the problem is examined on a wrong point of view. This paper describes the attempt to introduce a new model, the DEEM (Digital Elevation Error Model), which incorporates elevation uncertainty and accompanies a DEM uniquely. The use of an uncertain DEM, combined with a probabilistic soft decision approach, eliminates the risk of taking decisions that do not imply to the real problem's basis. Research has shown deviations existing in results, up to 20-50% for volume measurements, area measurements, definition of boundaries, visibility calculation, etc., from those of a hard decision approach. The absence of an integrated GIS, able to manage data uncertainty, forces for by-pass approaches of the problem but not the appropriate ones. © 2005 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Achilleos, G. A. (2005). Considering elevation uncertainty for managing probable disasters. In Geo-information for Disaster Management (pp. 255–267). Springer Berlin Heidelberg. https://doi.org/10.1007/3-540-27468-5_17
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