The recent evolution of earth observing systems make available to the users an increasing number of continuous temporal series acquired at different spatial and spectral resolutions. In order to deal with large continuous temporal series, automatic and global processing methods are required. In particular these must concern the capacity of producing useable cloud-free images at regular interval, i.e. the compositing procedure, and the capability of detecting any significant signal change out of a large volume of data (VEGETATION sensor). Both issues are specifically tackled in the framework of this research project.
temporal series, statistics, change detection, global monitoring, vegetation, remote sensing
|Unité d'environnemétrie et géomatique||unknown|
created:2011-12-14 14:18:59 UTC, source:cref