LULC database updating from VHR images and LIDAR data using evidence theory

Urban growth and the development of urban plans make cities grow and substantially alter, in relatively short time periods, their land covers and land uses (LULC). To take control of this urban growth, it is important to create and update the LULC database. In this work, a method to automatically extract land covers from satellite VHR imagery and LIDAR data is presented. This method is based on the Dempster-Shafer evidence theory. The efficiency of this method is tested in three test sites in the Spanish city of Gijon. The provided results are compared with the SIOSE database in order to determine changes in the LULC.