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Based on the assumption that road infrastructure information had not been acquired, the road information before and after the emergency transport was extracted by using high spatial resolution remote sensing images. Combined with object-oriented image analysis method, the road and vehicle information was classified in emergency phase. Road area and vehicle area was calculated. Building the vehicle road occupancy model, the purpose of this study was to assess transport congestion, to provide the decision support for the emergency transport management, to supply the technique support for the selection of emergency transport path and the establishment of reasonable emergency scheduling scheme, to lay the foundation for the spatial, knowledgeable and intelligent emergency command and control. A case study was carried out for the Yushu earthquake in April, 2010. The results show that the transport congestion was monitored accurately by using high spatial resolution remote sensing image.

Emergency Information Extraction of Transport Congestion Based on Object-oriented Classification Using High Spatial Resolution Remote Sensing Image