PROBA-V Level-2 Data

PROBA-V Collection 2 Level-2A data are Radiometrically corrected segments based on Level-1C data, projected in Plate Carrée, Top-Of-Atmosphere reflectances. The PROBA-V L2A products are available in 3 resolutions 1km, 300m and 100m.

Level-2A Data access

Level-2A algorithm and data

The Level 1C data are used as input for further processing in the Level 2 processor, which consists of the following steps:

  • Projection and mosaicking the SWIR strips to 1 layer
  • Snow/ice detection
  • Cloud and cloud shadow detection

The separate processing steps are explained in the Products User Manual.

Level-2A Quality assurance

In the Level 2A product files, the quality indicator is located in the SM (Status Map) Dataset within the QUALITY Group. The SM Dataset contains a quality state indicator per pixel, consisting of an observation indicator (clear, cloud, ice, shadow, undefined), a land/sea flag, and a radiometric quality indicator per band. Check the Products User Manual for a list of the various quality bit values and how to read them. Please note that bits 8 – 11, containing additional information on the observational coverage for each band, are only available for Level 2A data. The Status Map information can be easily read in most programming languages.

A Quality Webpage is available and provides information on the Quality Assessment and the various methods applied to maintain PROBA-V’s data quality at the highest possible level, from the raw satellite observations through the value-added products available at the PROBA-V Data Portal.

Dataset Specifications
Digital Object Identifier (DOI)
European Space Agency, 2023, PROBA-V Level-2A Data Collection 2,

Spatial coverage: 75°N, 56°S, 180°W, 180°E 
Temporal coverage:  

  • 2013-10-16 – 2020-06-30 (for 1 km and 300 m) 

  • 2014-03-12 – 2020-06-30 (for 100 m) 

Mission status: Complete 
Orbit type: Sun-synchronous

Data Citation
European Space Agency, 2023, PROBA-V Level-2A Data Collection 2,

Our Applications and Help

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For years, global food security has been at the forefront as one of the most pressing development targets. According to the FAO, food production around the world has to grow by more than 70% if we want to achieve food for all in 2050. Both public and private organizations bear a huge responsibility to raise food production in a sustainable way. Remote Sensing and especially satellite missions delivering daily global observations, like PROBA-V, are crucial to monitor the status of crops worldwide and predict yields.

Land Use / Land Cover

Land is an essential natural resource - for humanity and all terrestrial ecosystems. But while resources are strictly finite, human demands are not. Today, this leads to events such as deforestation, soil degradation and the loss of wildlife. PROBA-V, the small satellite for global observations, helps monitor and map the extent and dynamics of land cover and land use.


Global daily satellite observations are indispensable to monitor the driving forces of climate change, arguably the largest and most challenging problem our society is facing. Additionally, remote sensing serves to monitor the effects of climate change, e.g. changes in land cover and land use. Hereto PROBA-V satellite imagery with low spatial resolution but delivering daily global coverage is invaluable.


Although PROBA-V is designed as a land mission, the good image quality provides opportunities to extend its applications to coastal waters.  By applying a dedicated atmospheric correction above water  we can derive information on the turbidity of the water and the suspended sediment concentration. Combining these turbidity and suspended sediment products from PROBA-V with products from other typical Ocean Colour sensors allows for better monitoring of turbidity in dynamic near shore areas and it increases the chance to detect short term events in particular for areas with rapid changing cloud cover.

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Collection 2 Products User Manual

Deprecated Collection 1 Products User Manual

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the SNAP PROBA-V Toolbox

consists of a rich set of visualisation, analysis and processing tools for the exploitation of the VEGETATION instrument. As a multi-mission remote sensing toolbox, it also supports the Sentinel missions, Envisat (MERIS & AATSR), ERS (ATSR), SMOS as well as third party data from MODIS (Aqua and Terra), Landsat (TM), ALOS (AVNIR & PRISM) and others. The various tools can be run from an intuitive desktop application or via a command-line interface. A rich application programming interface allows for development of plugins using Java or Python.