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CAMPAIGNS
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
WISE
The objective of WInd and Salinity Experiment 2001 (WISE 2001) campaign was to get more data points and better wind speed measurements.
Campaign
WindVal III
The objectives the WindVal III campaign were derived from results, experience and lessons learnt of the last airborne campaigns in 2009, 2015 and 2016.
Campaign
WindVal II
The objectives for the WindVal II campaign in 2016 were derived from the results, experience and lessons learnt from these last airborne campaigns in 2009 and 2015.
Campaign
WindVal I
The objectives of the WindVal 1 campaign in 2015 were derived from results, experience and lessons learnt from the previous airborne campaign in 2009.
Campaign
WALEX
The objective of the airborne campaign Water Vapour Lidar Experiment (WALEX) is to collect valuable data to provide representative lidar measurements of water vapour and aerosol properties in different climatic zones.
Campaign
WaddenSAR
The “WaddenSAR – Airborne bistatic C-band SAR experiment to demonstrate different acquisition geometries” was initiated to support the development of the Earth Explorer 10 Harmony mission.
Campaign
TropiScat
The major objectives of the experiment were the temporal survey of the variation of the measurements in time scales ranging from diurnal, weekly, monthly, up to 12 months of observation.
Campaign
TropiSAR 2009
The TropiSAR campaign objectives were the evaluation of P-Band radar imaging over tropical forests for biomass and forest height estimation.
Campaign
TerraSARSIM
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.
Campaign
SPARC
ESA's SPectra bARrax Campaign (SPARC) activity was part of the preparatory study for a proposed ESA Earth Explorer mission called SPECTRA. The objective was to collect a CHRIS/PROBA reference dataset for SPECTRA-related studies.
Campaign
SoyFLEX II 2016
The SoyFLEX II experiment was a repetition of an experiment that took place during the 2015 campaign in Germany.
Campaign
SoyFLEX 2015
SoyFLEX 2015 took place over the agricultural area around Jülich, Germany and Rzecin wetland site, Poland
Campaign
SnowSum
The SnowSum experiment is designed to support the development of future concepts to monitor the cryosphere.
Campaign
SIFLEX
The Solar Induced Fluorescence Experiment (SIFLEX) 2002 campaign was to understand whether solar-induced fluorescence measurements might someday be used to monitor and map the photochemical activity of boreal forests from space.
Campaign
Sentinel-3 OLCI Tandem 2018
In 2018, a tandem campaign was conducted between the Sentinel-3A and 3B satellites to help test the future FLEX mission.
Campaign
SEN2FLEX
SENtinel-2 and FLuorescence EXperiment (SEN2FLEX) campaign combines different activities in support of initiatives related both to fluorescence experiments and Sentinel-2 initiative for prototyping of resolutions to meet mission requirements.
Campaign
SEN2EXP
In the SEN2EXP campaign, the data gap for broad leaf forests is addressed as suitable reference datasets of sufficient quality do not exist.
Campaign
SARSimHT
The main objective of “SARSimHT – Airborne SAR experiment to simulate Hydroterra data” was to demonstrate the image formation process of Hydroterra through the exploitation of a repeat-pass hyper-temporal airborne SAR image stack acquired over short time intervals representative of the Hydroterra mission.
Campaign
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
ROVE (1975-1981)
The Dutch research team ROVE (Radar Observation on Vegetation), funded by the remote sensing organization NIWARS, started in 1974 to investigate the scattering of microwaves by crops and soils, in order to help interpretation of radar imagery.