Large-scale Urban GEO-database Based on High Resolution Remote Sensing Image

Traditional surveying process lags behind, because it has many shortcomings in mapping cost, mapping period, data storage and further usage. It is an effective way to use high spatial resolution remote sensing image to make large-scale urban maps. This paper discusses the relationship between mapping scale and image spatial resolution, and explains the data-abstracted method based on customized rules, intelligent symbols and automated topology. Then it expatiates on the core technology of geo-database based on large-scale digital maps and high spatial resolution image, and argues how to establish and maintain a spatial database and serve other different applications by the public interface. Different format data are stored into the same spatial database which further provides comprehensive data and the thematic maps for urban administration, urban plan, digital city and GIS. The spatio-temporal geo-database is established by the "versioning" which can manage different spatial and temporal data.