The ECORS system: A mobility decision-making tool based on Earth observation data
Résumé
Scientists and professionals of the geotechnical, remote sensing and decision-making system domains have joined their forces in order to develop a prototype which could help military forces in decisions related to mobility. This prototype, named ECORS, intends to characterize operations theatres from Earth observation data, by producing decision-aid information for military forces projections in terrestrial zones. The system structure allows a fast and an automatic update of trafficability analysis, and its related cartographic representation. The parameters affecting the mobility of an ATV (All Terrain Vehicle) in soft ground are numerous and interact in complex ways (vehicle performance, the conduct of the pilot in a real situation, the geologic parameters...). The purpose of ECORS is not to develop simulation tools from basic mechanical parameters to synthesize the performance, but rather to compile these performances calculated or found in a more macroscopic tool. For each kind of operation, decisions are oriented from a strategic, operative and tactical point of view. The main data sources authorized are those coming from remote sensors, including remote-sensing data, existing databases, i.e., Topobase Defense, HWSD, NCAR DB, etc or opensource data. These data are analyzed in a GIS and supplemented if necessary on a scale of work that is based on different levels of operation. All these parameters were used to predict the vehicle performances, including speed, by comparing them to a database compiling standard cases of mobility. The resulting map shows the places where the vehicle can go without problems (green), with a relatively slow velocity (orange) and where it can't go (red) with a resolution of 30 m thanks to the DTED2 DEM. The project has realized a state of the art on the possibility to use existing geographical data and remote sensing techniques that could give a strong added value for mobility performance prediction. In the present work, a decision-making system was designed, developed and tested to estimate the mobility of vehicles both on-road and off-road. Analysis data were collected on test sites in France and Morocco for validation. These data cover the relevant terrain parameters useful for predicting vehicle mobility performances such as soil type, soil water content, soil mechanical parameters, slope, vegetation, obstacles and axes (roads, trails...).
Domaines
Sciences de la Terre
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