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1st MSG RAO Workshop
Proceedings of the workshop organised by ESA and EUMETSAT held in CNR of Bologna, Italy in May 2000.
2nd CHRIS PROBA Workshop
This 2004 workshop was on the treatment of Compact High Resolution Images Spectrometer (CHRIS) data.
2nd-MSG-RAO-Workshop.pdf
Proceedings of the 2nd MSG RAO Workshop, held on 9-10 September 2004 in Salzburg, Austria
3rd CHRIS PROBA Workshop
This 2005 workshop was on the treatment of Compact High Resolution Images Spectrometer (CHRIS) data.
3rd-CHRIS-Proba-Workshop.pdf
Proceedings of the 3rd CHRIS/Proba Workshop, held from 21-23 March 2005 at ESA-ESRIN in Frascati, Italy.
3rd-MSG-RAO-Workshop.pdf
Proceedings of the 3rd MSG RAO Workshop held on 5 June 2006 in Helsinki, Finland
4th CHRIS PROBA Workshop
Workshop on the treatment of Compact High Resolution Images Spectrometer (CHRIS) data.
A long way for a little satellite
The PROBA-1 satellite, a technology demonstrator later turned into an Earth observation mission – and just a cubic metre in volume – is reaching 20 years of continuity, making it a huge success.
A summary of ESA Third Party Mission collections
A new summary is available, showcasing the ESA archives for Third Party Mission collections.
A-comparison-of-superresolution-reconstruction-methods-for-multiangle-CHRIS-Proba-images.pdf
This paper presents the results of three superresolution methods applied to multiangular CHRIS/Proba data: three methods, namely non-uniform interpolation and de-convolution, iterative back-projection, and total variation are examined.
Advances-in-Atmospheric-Science-and-Applications.pdf
Proceedings in Advances in Atmospheric Science and Applications held in 18-22 June 2012 in Bruges, Belgium.
An overview of ESA's Third Party Missions programme
ESA’s Third Party Missions programme consists of almost 50 satellite missions, which are owned by organisations around the world. ESA has agreements with these organisations to acquire, process, and distribute data from their missions
Assessment of Canopy Structure and Heterogeneity from Multi-Angular CHRIS-PROBA Data
The spaceborne ESA-mission CHRIS-PROBA (Compact High Resolution Imaging Spectrometer-Project for On-board Autonomy) provides hyperspectral and multi-angular data of selected terrestrial targets (Barnsley et al. 2004). For vegetated surfaces, the spectral information content of CHRIS data may yield the biochemical and biophysical properties of a vegetation canopy, while the directional component may deliever additional information on its canopy structure. Here, the multi-angular CHRIS observations are investigated and related to surface structure using the parametric RahmanPinty-Verstraete (RPV) model.
Autonomy-in-action-Ten-years-of-Proba-1.pdf
This is an article extracted from the ESA Bulletin Nr.148.
Big-year-for-small-satellite-ESAs-second-in-orbit-technology-demonstration-mission-Proba-2.pdf
This is an article extracted from the ESA Bulletin Nr.144.
BIOMASS-Report-for-Mission-Selection-An-Earth-Explorer-to-observe-forest-biomass.pdf
The objective of the BIOMASS Mission is to determine the global distribution of forest biomass by reducing the uncertainty in the calculation of carbon stock and fluxes associated with the terrestrial biosphere.
Celebrating ESA’s first small satellite with science success
Scientists and data users gathered at a special workshop to celebrate the end of PROBA-1’s CHRIS sensor and discuss the results of this overachieving mission.
Comparing Three Canopy Reflectance Models with Hyperspectral Multi-Angular Satellite Data
Studies that compare modelled reflectances with satellite-measured reflectances for different wavelengths and view angles are still rare. We compared model outputs from three different canopy reflectance models (SLC, FRT and INFORM) with satellite measured reflectances (Chris/PROBA).
CoReH2O-Report-for-Mission-Selection-An-Earth-Explorer-to-observe-snow-and-ice.pdf
This report describes the CoReH2O (Cold Regions Hydrology high-resolution Observatory) mission, which was selected for feasibility study in the third cycle of Earth Explorers.
Correction-of-systematic-spatial-noise-in-push-broom-hyperspectral-sensors.pdf
We present a new technique that faces the problem of removing the spatiallycoherent noise known as vertical striping, usually found in images acquired by push-broom sensors.