Theme 2: Atmospheric ECVs ~ Remote sensing of the Atmosphere
An objective of MetEOC is to develop SI traceable measurement methods that have associated uncertainties for bio-geophysical parameters at pixel level and account for scene specific characteristics. This includes the means to optimally parameterise, validate and assess the uncertainties of retrieval algorithms.
Harmonisation of sampling methods will be considered, including optical and SAR based techniques.
Capabilities of CEOS Cal/Val test-sites such as RadCalNet will require extending from ‘bright targets’ to biophysical surfaces, demanding challenging new spectral/spatial corrections.
Long-time-base datasets together with operational temporal-continuity need scene/pixel dependent uncertainty characterisation – techniques using machine learning will be explored.
Furthermore, transformational algorithms such as radiative transfer codes will be metrologically evaluated in physical and virtual environments.