The Sentinel-2 Toolbox consists of a rich set of visualisation, analysis and processing tools for the exploitation of MSI data from the upcoming Sentinel-2 mission.As a multi-mission remote sensing toolbox, it also supports the ESA missions Envisat (MERIS & AATSR), ERS (ATSR), as well as third party data from RapidEye, SPOT, 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.The Sentinel-2 Toolbox is being developed for ESA by CS in partnership with Brockmann Consult, CS-Romania, Telespazio Vega Deutschland, INRA and UCL.This first release of the Sentinel-2 Toolbox is a stand-alone toolbox intended for exploitation of high resolution optical data. It provides all tools known from the ESA BEAM toolboxes, plus a Sentinel 2 product reader, a SPOT 1 to 5 product reader, and a RapidEye product reader.
The Sentinel-2 Toolbox consists of a rich set of visualisation, analysis and processing tools for the exploitation of MSI data from the upcoming Sentinel-2 mission.As a multi-mission remote sensing toolbox, it also supports the ESA missions Envisat (MERIS & AATSR), ERS (ATSR), as well as third party data from RapidEye, SPOT, 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.The Sentinel-2 Toolbox is being developed for ESA by CS in partnership with Brockmann Consult, CS-Romania, Telespazio Vega Deutschland, INRA and UCL.This first release of the Sentinel-2 Toolbox is a stand-alone toolbox intended for exploitation of high resolution optical data. It provides all tools known from the ESA BEAM toolboxes, plus a Sentinel 2 product reader, a SPOT 1 to 5 product reader, and a RapidEye product reader.
Due to performance issues, I would not suggest Java or Python implementations. These languages are easy-to-use, but in the domain of image processing, classic ways with C++ are prefered.
Anyway, SNAP / the Sentinel Toolboxes are very good to use and my suggestion.