BROWSE RESULTS BY CATEGORY
CAMPAIGNS
AfriSAR 2016
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.
AfriSAR 2015
2015
During the AfriSAR 2015 campaign, shared between ONERA (dry season, July 2015) and DLR (wet season 2016), Pol-InSAR and TomoSAR airborne data set were collected over four test sites over Africa, therefore covering different forest structures.
SEN2EXP
2013
In the SEN2EXP campaign, the data gap for broad leaf forests is addressed as suitable reference datasets of sufficient quality do not exist.
TropiScat
2011 - 2012
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.
BioSAR 2010
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.
TropiSAR 2009
2009
The TropiSAR campaign objectives were the evaluation of P-Band radar imaging over tropical forests for biomass and forest height estimation.
BioSAR 2008
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.
BioSAR 2007
2007
The BioSAR campaign aimed to support geophysical algorithm development, calibration/validation and the simulation of future spaceborne Earth Observation missions.
BACCHUS-DOC
2005
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).
INDREX-2
2004
ESA and Indonesian Ministry of Forest Study was a 2004 follow-up campaign to the INDREX project which was to generate a digital elevation model over a non-accessible region in order to model environmental changes.