Simultaneous retrieval of soil leaf canopy and atmospheric parameters from hyperspectral information in the red edge through model inversion

摘要

Abstract: In a modeling case study it has been investigated whether it would be possible to retrieve from optical remote sensing data the (bio)physical parameters of the coupled soil-vegetation- atmosphere system that have an effect on spectral radiances detected by spaceborne sensors. For this, optical data on single leaves generated by means of the PROSPECT model have been applied in the integrated optical soil-canopy-atmosphere radiation model OSCAR. The influences of 2 soil parameters, 2 leaf parameters, 4 canopy parameters and 3 atmospheric parameters on hyperspectral directional planetary reflectances have been simulated in a model inversion experiment. The simultaneous retrieval of the 11 parameters has been tested using classical model inversion by means of the Gauss-Newton method of non-linear least squares parameter estimation. Preliminary results indicate that this approach has some potential, as in a number of widely differing cases the retrieval of all model parameters from 10 nm resolution hyperspectral red edge planetary reflectance data under 5 directions was successful. !11