Radiation transfer for
Rayference is an Earth Observation R&D company led by Yves Govaerts providing technical and scientific expertise in 1D and 3D radiative transfer, both in the atmosphere and at the surface, and inverse modelling. This expertise is applied in areas such as retrieval of aerosol and surface properties from space observations, vicarious calibration, fundamental and thematic climate data record generation or sensitivity analyses for the preparation of new space missions and associated services.
Radiation transfer modelling
Rayference proposes a suite of atmospheric and surface 1D and 3D radiative transfer models to perform sensitivity analysis, vicarious calibration, numerical algorithm design or look-up table generation.
Example of simulated 3D canopy
The 3D radiative transfer code Raytran is used to simulate Bidirectional Reflectance Factor (BRF) over complex scene which are described with a set of geometrical objects. Raytran also allows simulation of in situ observations.
Example of 1D simulation
1D simulation over dense vegetated surface in the red spectral region in the principal plane at the top-of-atmosphere (blue curve), bottom of atmosphere (green curve) and without atmosphere (red curve).
Rayference is using simulated top-of-atmosphere reflectance of desert sites to perform radiometer (cross-)calibration with an accuracy of about 3 to 5%.
Scientific algorithms: Inverse modelling
Rayference is specialized in the joint retrieval of surface reflectance and aerosol properties joint retrieval. As surface reflectance and aerosol scattering are radiatively tightly coupled, the joint retrieval is the most promising approach over land surfaces. The figure shows an example joint surface BiHemispherical Relfectance (BHR) in the 0.6μm spectral region and Aerosol Optical Depth (AOD) at 0.55μm from MSG/SEVIRI observations acquired on 2 March 2004 (Govaerts et al, 2010).
Defining operational services
Rayference provides support and advices for setting up operational services based on the exploitation of space-based observations.
The S2RadVal (Sentinel-2 Radiometric Validation) project aims at developing and inter-comparing algorithms for validating the radiometry of Sentinel-2 Level-1 products.
The objective of this study is to perform a joint surface reflectance / aerosol properties of Proba-V observations.
S4 L2 Processor Component Development
Sentinel-4 Level-2 Processor Surface Reflectance Component Development.
The aerosol_cci project aims at producing a set of global aerosol ECV products for one reference year from a set of European satellite instruments with substantially different characteristics. Rayference will be responsible for the generation of an aerosol data set from MSG/SEVIRI observations.
The Fidelity and Uncertainty in Climate Data Records from Earth Observation (FIDUCEO) project will set new standards of accuracy and rigour in the generation of Fundamental Climate Data Records (FCDRs) and Climate Data Records (CDRs), with defensible uncertainty and stability information.
Quality Assurance for Essential Climate Variables (QA4ECV) is a EC/FP7 research project aiming at showing how trustable assessments of satellite data quality can facilitate users in judging fitness-for-purpose of the ECV Climate Data Record and providing quality assured long-term Climate Data Records of several ECVs relevant for policy and climate change assessments. QA4ECV is paving the way of the future Copernicus Climate service.
The objective of this study is to support VITO with regard to the assessment of the 6SV Radiative Transfer Model performance for the vicarious radiometric calibration of a space-borne hyperspectral sensor in the 450-900nm spectral region.
3D Tropical Forest Reflectance modelling
The objective of this project supported by the University Catholic of Louvain is to simulate top-of-canopy and top-of-atmosphere reflectance with a 3D radiative transfer model (Raytran) above a tropical forest to assess the impact of angular and atmospheric effects on satellite observations.
This ESA project targets the concept development for the daily UVN surface reflectance map product for Sentinel-4 building on relevant heritage concepts.
The purpose of this project supported by VITO is to improve the characterization of bright desert surface radiative properties used for the vicarious calibration of PROBA-V.
Yves Govaerts has more than 20 years of experience in the design of algorithm for the operational retrieval of geophysical products. He has worked on the preparation of ATBDs, satellite data calibration, algorithm prototyping, product validation and documentation in the context of the retrieval of land surface and aerosol properties from geostationary observations. He has a solid experience in the development of 1D and 3D radiative transfer models and optimization methods. Finally, he has been involved in the generation of climate data record such as surface albedo from all available geostationary observations. He founded Rayference in 2013.
Alix Damman got his Ph.D. degree in Sciences in 2011 from the Université Libre de Bruxelles (ULB). His work consisted in the development and implementation of a theoretical model to study the continuum states of exotic light nuclei having a three-cluster structure. After his Ph.D., he has been working for the French National Institute for Agricultural Research for two years in Nantes, France. In this project, he participated in the design and development of a scientific software which simulates the propagation of a disease in cattle herds and the effectiveness of control strategies such as vaccination and test and cull. Alix joined Rayference in September 2015.
Marta Luffarelli has a M.Sc in Electronic Engineering in 2016 from Sapienza University of Rome. Her studies focussed on remote sensing and telecommunication. She developed her master thesis at Telespazio VEGA Deutschland Gmbh in Darmstadt, Germany. During her stay at Telespazio she worked on the Sentinel-2 Level-2A processor, developing scientific software and gaining experience in scene classification and atmospheric correction. Marta joined Rayference in March 2016.
Violette Zunz has obtained a Ph.D. degree in Sciences from the Université Catholique de Louvain. During her Ph.D. and until June 2015, her work was focused on the predictability and on the variability of the Antarctic sea ice at decadal timescales. She has developed a solid experience in implementing and testing different data assimilation techniques applied to a coupled climate model. She has also gained expertise in the analysis of large datasets from model outputs and observations (in situ and satellite measurements). She has been involved in the PREDANTAR research project (Understanding and predicting Antarctic sea ice variability at the decadal timescale) funded by the Belgian Science Policy Office (BELSPO). She joined Rayference in August 2015.