We implement operational chains for the calibration, geometric and atmospheric corrections, and orthorectification of airborne and satellite spectral imagery

We are developing methods for estimating water column and vegetation parameters by inversion of radiative transfer models

We implement original image processing methods based on spectral analysis, classification schemes, Artificial Intelligence (AI), machine learning (ML) approaches

We qualify the precision and accuracy of information derived from spectral images using internal error propagation modules through the data processing chains

We use direct and inverse simulation to qualify the operating points of future satellite spectral sensors