In the aftermath of disasters such as major earthquakes, several roads may be blocked by rubble and the population tends to search refugee in certain gathering points of the city. Road network accessibility becomes an important issue for logistic operations, specially on the first days after the quake, when the relief distribution is crucial for survival. This study focused on the Road Emergency Rehabilitation Problem, divided into the Road Network Accessibility Problem (RNAP) and the Worktroops Scheduling Problem (WSP). The first one consists in finding traversable paths for relief teams to reach the population, and the later generates a repairing schedule to improve access to refugee areas. The contributions of this study are two-fold: we present the process of transcribing satellite imagery data into graphs, and mathematical formulations for the RNAP and WSP, along with heuristics to solve the WSP. The proposed methods are able to handle large-scale graphs in an acceptable running time for real scenarios. They are tested on simulated instances and on the graph of Port-au-Prince, with more than 10,000 vertices and edges. The Port-au-Prince graph was generated from satellite images obtained by the International Charter "Space and Major Disasters" a few hours after the 2010 earthquake. This work is part of the OLIC (Optimisation de la Logistique d'Intervention pour les Catastrophes majeures) project, funded by the

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One of the last and more pressing requests to the researchers working in the field of Geomatics is to research, validate, and propose new strategies for the rapid mapping of different contexts, with low-cost solutions. The continuous implementation of image-matching algorithms and their use in structure from motion (SfM) software allow using new sensors and implementing new strategies for the production of 3D models starting from an image-based approach. In the last years, another central issue for the researchers has been related with the documentation of cultural heritage (CH) artifacts using different sensors and techniques. In the experience presented in this paper, the attention was focused on these two central aspects: a test of a commercial off-theshelf (COTS) steadicamera for the rapid 3D documentation of two cultural heritage artifacts was proposed. The two sites chosen to evaluate this mass market sensor were as follows: the Basilica of San Nicola (Tolentino, MC, Marche Region, Central Italy) and the Castello del Valentino (Torino, TO, Piedmont Region, North Italy). The metric products obtained with the Steadicam were compared with more consolidated techniques such as close-range photogrammetry (CRP) and terrestrial laser scanner (TLS). The products derived from the different techniques were then evaluated and compared, and an overall assess of the use of this new solution was made.

The case-based approach is presented through two of SERTIT's major involvements in flood risk management. The first is operational crisis management action, contracted by ESA on the River Saône March 2001 flood. Archived and scheduled remote sensing data are used, leading to the delivery of rapid flood mapping products to the Civil Protection authorities. The second consists of research and development actions on well documented historical events. The case definition is based on the analysis of imagery products and environmental data, to both describe flood hazard and vulnerability. This approach stresses the synergy between landscape, its evolution and flood impact. Both optical and radar data are used in these two applications, with specified pre-processing levels.Index terms -Case-based approach, flood management, optical and radar remote sensing, decision making, rapid mapping systems.

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