Change detection in high resolution land use/land cover geodatabases (at object level)
- Objectives:
To find efficient means of detecting change that can be used to update cartographic databases that track land cover and land use at scales close to 1:25.000. The aim of the research is to detect changes in land use without necessarily updating them .
To study and evaluate automated object-oriented image classification techniques applied to LULC databases
To integrate high-resolution images, airborne laser scanner data, and database information to improve the efficiency of the methods used
To assess the use of these techniques for thematic geospatial databases updating and change detection
- Partners:
IGN of France
IGN of Spain
Tracasa – Navarra Public University
Valencia Polytechnic University
Alcala de Henares University