Extreme weather disasters are widely distributed. Moreover, the mutual relations between such disasters can easily make them even more extensive. Rapidly obtained satellite images
of vast areas can be effective in helping to develop disaster prevention strategies. This study established a watershed satellite image classification rule-set by using the object-based image analysis methodology. Several surface features in the watershed image were been classified, including main channels, secondary channels, sandbars, alluvial fans, landslides and place of the geotechnical damage.This study practically applied this rule-set in different watersheds and different-resolution satellite
image. Also assessed the feasibility of the rule-set by comparing with the investigation photos and statistical analysis. The results show that the rule-set logic can be applied flexibly in different watersheds and different images. The classification of the rule-set is reproducible and accurate. As this result,we can apply the rule-set to disaster management and the land use planning in the future work.
Key Words : Watershed satellite image, object-based image analysis, rule-set, geotechnical damage.