Team clime

Overall Objectives
Scientific Foundations
Application Domains
New Results
Contracts and Grants with Industry
Other Grants and Activities

Section: Scientific Foundations

Environmental image and data processing

Data with image nature, and especially satellite data, represent a huge amount of observations which is up to now largely unexploited by the environmental numerical forecast models. The operational state-of-the-art is mainly the assimilation of satellite data on a pixel basis: each pixel constitutes an independent information, expressed as a more or less complex function of the model's state variables. The challenge is to exploit the structure of the image observation by defining Image Assimilation methods: how to assimilate data with spatial and temporal coherency, such as observations of evolving fronts or eddies? Different issues are considered:


Logo Inria