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Learn about the ground-based, ship-borne, balloon-borne, and airborne campaigns and small satellite field experiments that validate orbiting ESA EO satellites and support future mission development.

  • Campaign

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    SARSense 2019

    The SARSense campaign in the Jülich area (Germany) in summer 2019 was performed to support the ESA Copernicus high priority mission ROSE-L.

  • Campaign

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    As part of the detailed design and feasibility studies of the Sea Surface Kinematics Multiscale (SKIM) 9th Earth Explorer program candidate mission, ESA initiated the Drift4SKIM field campaign, with the aim to evaluate the feasibility of measuring the insitu Total Surface Current Velocity (TSCV) using pulse-pair Doppler radars.

  • Campaign

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    AfriSAR 2016

    In order to further support the BIOMASS mission development, especially concerning the mission concept verification and the development of geophysical algorithms, ESA funded the AfriSAR campaign.

  • Campaign

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    BioSAR 2010

    The BioSAR-3 (BioSAR 2010) campaign was specifically planned and implemented to investigate possibilities for a future spaceborne P-band polarimetric and interferometric SAR with a life-time of multiple years.

  • Campaign

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    TropiSAR 2009

    The TropiSAR campaign objectives were the evaluation of P-Band radar imaging over tropical forests for biomass and forest height estimation.

  • Campaign

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    BioSAR 2008

    The main objective of BioSAR-2 (BioSAR 2008) campaign was to record SAR data over boreal forests with topographic effects to investigate the effect on biomass retrieval.

  • Campaign

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    BioSAR 2007

    The BioSAR campaign aimed to support geophysical algorithm development, calibration/validation and the simulation of future spaceborne Earth Observation missions.

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    The BACCHUS-DOC Radar and Optical Campaign was an area mapping project of vineyards near Frascati (Italy). ESA required high resolution geo-referenced airborne SAR data of different wavelength and polarisation (preferably polarimetric).

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    The objectives of the TerraSAR SIM project were to quantify the impact of the time intervals between SAR acquisitions at different wavelengths on agricultural applications.

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