The term “Pixel identification” refers to a classification of a measurement made by a space borne radiometer, for the purpose of identifying properties of the measurement which are influencing further algorithmic processing steps. Most importantly is the classification of a measurement as being made over cloud, clear sky land or clear sky ocean surfaces. Depending on the downstream processing steps some additional properties like cloud or mountain shadow, snow cover or aerosol contamination are needed.

IdePix is a multi-sensor pixel identification tool available as a SNAP (Sentinel Application Platform) plugin. It provides pixel identification algorithms for a wide variety of sensors like Sentinel-2, Sentinel-3, MERIS, Landsat-8, MODIS, Proba-V or SPOT VGT, just to mention a few. It is therefore a one-stop pixel identification tool if you are working with multiple sensors. As a SNAP plugin, it can be used in combination with other algorithms available from S2 & S3 toolbox, to create powerful processing chains with SNAP or GPT (Graph Processing Tool).

In contrast to many other pixel identification tools, IdePix provides non-exclusive property flags. This means a single pixel can have multiple properties like land and cloud (semi-transparent cloud over land), land and snow (land covered with snow), or land, snow and cloud (semi-transparent cloud over snow covered land).

The development of IdePix started many years ago already in BEAM (Basic ERS & Envisat (A) ATSR and Meris Toolbox) and was further developed and used for many applications (preprocessing) and projects.

Some parts of IdePix are implemented in the Sentinel-3 OLCI and SYN ground segment.

  • In-house development
  • Software implementation and testing
  • Algorithm development and validation
  • Interfacing with scientists from various disciplines
  • Application in operational services
  • Software development

SNAP, CCI Land Cover, GlobWetland Africa, S3MPC, HIGHROC, C2X, CoastColour, CCI Ocean Colour, MERIS 4th reprocessing,


ESA, SNAP users, scientific community