Smoothing of incomplete air pollution regions of interest from satellite observations

Project Summary

Environmental questions such as atmospheric pollution and climate change are key issues for our modern society to live in a more sustainable world. Research in this field is to provide predictions and spatial descriptions of the various pollutants from the urban to the continental and the global scales. The LISA lab is one the world leading groups in satellite remote sensing of tropospheric composition, develops several satellite retrieval algorithms to determine ozone and aerosols atmospheric distributions from satellite observations and now has over a decade of satellite images covering urbanized regions. The LIPADE lab has a strong experience in the design of algorithms dedicated to the analysis of satellite image time series thanks to image analysis and AI paradigms. The motivation of this internship is to explore an atmospheric data processing chain strategy, to make it faster, more objective and easily reproducible at a larger scale to deal with huge volumes of data.

Laurent Wendling