- All Categories (45)
- Data (2)
- News (8)
- Missions (2)
- Events (8)
- Activities (1)
- Campaigns (2)
- Documents (22)
Event - Workshop
2nd CHRIS PROBA Workshop
This 2004 workshop was on the treatment of Compact High Resolution Images Spectrometer (CHRIS) data.
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.
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.
Campaign
CEFLES2
The objective of the CEFLES2 campaigns was to provide key reference data and background knowledge for the preparatory phases of the Sentinel‐2 and FLEX missions.
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.
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.
Document - General Reference
Earth-from-Space-Africa.pdf
This brochure is a collection of Envisat MERIS, Envisat ASAR and Proba HRC mosaics of Africa.
Document - General Reference
Earth-from-Space-China.pdf
This brochure is a collection of Envisat MERIS, Envisat ASAR and PROBA mosaics of China. The attached CD-rom contains the same images in electronic version.
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.
Activity - Quality
EDAP
The ESA Earthnet Data Assessment Pilot (EDAP) project will perform assessments for various missions to ensure the delivered data is fit for purpose.
Event - Workshop
EO for Agriculture Under Pressure 2024
EO for Agriculture Under Pressure 2024 Workshop follows up from previous events, bringing together the large community working on EO-based science and solutions for agriculture.
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.