Urban indicator for database updating

The regular updating of spatial databases is enabled by the abundance of satellite images. It is though time consuming, requires qualified human resources, high financial costs and requests efficiency [1]. Geo212 developed a semi-automatic tool for urban detection, to guide the stakeholders and the producers throughout the updating process. Our study is led by the need of a fast, instantaneous applicative workflow, operational on various landscapes with different sensors; it is thus based on existing algorithmic and software resources. The process is generic and adaptable, with a phase of uncorrelation, chaining a Minimum Noise Fraction transformation with a textural analysis, and a learning phase processed from an existing database. This process has run in “real” updating operations, on 1.5 and 6 meters resolution Spot6 images, a 15 meters Landsat-8 image and a 1.5 meters resolution Pleiades image.