- All Categories (33)
- News (4)
- Missions (1)
- Events (6)
- Activities (1)
- Campaigns (1)
- Documents (20)
Event - Workshop
2nd CHRIS PROBA Workshop
This 2004 workshop was on the treatment of Compact High Resolution Images Spectrometer (CHRIS) data.
Event - Training
3rd Advanced Training Course on Land Remote Sensing 2011
This 2011 advanced ESA training course focused on land remote sensing theory and applications.
Event - Workshop
3rd CHRIS PROBA Workshop
This 2005 workshop was on the treatment of Compact High Resolution Images Spectrometer (CHRIS) data.
Event - Workshop
4th CHRIS PROBA Workshop
Workshop on the treatment of Compact High Resolution Images Spectrometer (CHRIS) data.
Document - Technical Note
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.
Event - Training
Advanced Training Course in Land Remote Sensing 2012
The 2012 advanced training course focused on land remote sensing theory and applications.
Document - General Reference
Autonomy-in-action-Ten-years-of-Proba-1.pdf
This is an article extracted from the ESA Bulletin Nr.148.
Document - General Reference
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.
Document - General Reference
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.
News - Events and Proceedings
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.
Event - Workshop
CEOS-IVOS Workshop on Inter-comparison of Large Scale Optical and Infrared Sensors
The 2004 workshop was an opportunity to present and exchange experiences and knowledge from work on inter-comparing large scale optical sensors at different product levels.
Document - General Reference
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.
Activity - Projects
Dragon 2 Cooperation Programme
The Dragon 2 Programme focussed on the exploitation of ESA, ESA's Third Party Missions and Chinese Earth observation data for science and applications development in land, ocean and atmospheric applications.
Document - Newsletter
Earth Online Newsletter - 23 February 2024
This issue of the Earth Online Newsletter covers a selection of the latest news and events from ESA.
Document - General Reference
Earth-from-Space-Deltas-and-Lakes.pdf
This brochure is a collection of Envisat MERIS, Envisat ASAR, ERS, Proba and Landsat mosaics.
Document - General Reference
Earth-from-Space-Deserts.pdf
This brochure is a collection of Envisat MERIS, Envisat ASAR, Proba and Landsat mosaics of desert areas on our planet.
Document - General Reference
Earth-from-Space-Russia-and-Ukraine.pdf
This brochure is a collection of KOMPSAT EOC; ERS-2 SAR; Envisat ASAR, MERIS and Proba CHRIS, HRC mosaics.
Document - General Reference
Earth-from-Space-South-America.pdf
This brochure is a collection of Envisat MERIS, Envisat ASAR and PROBA CHRIS mosaics of South America. The attached CD-rom contains the same images in electronic version.
Document - Product Readme Note
Fine-Resolution-Air-Quality-Monitoring-from-a-Small-Satellite-CHRIS-PROBA.pdf
This paper was published in "Sensors" and demonstrates the ability of the European Space Agency's small satellite sensor CHRIS/PROBA to provide reliable AOT estimates at a spatially detailed level over Hong Kong, using a modified version of the dense dark vegetation (DDV) algorithm devised for MODIS.