In the last ten years, the retrieval of geo-/biophysical parameters from ai
rborne imaging-spectrometer data has made significant progress. ESA therefo
re decided to investigate the feasibility of quantitatively retrieving geo-
/biophysical variables as the requisite inputs for process models. For thre
e years in succession (1998 to 2000), therefore, the Agency has conducted a
n airborne imaging spectrometer campaign called 'The Digital Airborne Imagi
ng Spectrometer Experiment (DAISEX)' in support of a possible future spaceb
orne mission. The instruments flown included DAIS 7915, HYMAP, ROSIS, POLDE
R and LEANDRE.
This article describes the state of the art in retrieving variables relevan
t to land-surface processes from hyperspectral data cubes, outlines the sci
entific objectives, and demonstrates the first results of the DAISEX campai
gns.