Retrieval of biophysical parameters at global scale by inversion of a radiative transfer model with neural network

Author

Bicheron, P. ; Richaume, P.H. ; Hautecocur, O. ; Leroy, M.

Author_Institution

CESBIO, Toulouse, France

Volume

3

fYear

1999

fDate

1999

Firstpage

1866

Abstract

The retrieval of biophysical parameters through the fitting of a simple radiative transfer model against spectral and directional spaceborne POLDER optical data is feasible for the biosphere characterization. The LAI maps have shown the expected spatial variations for various types of vegetation as well as expected temporal evolution. The description of a new algorithm using a neural network is then given. The next step of this work is to apply it on POLDER 1 data

Keywords

geophysical signal processing; geophysical techniques; geophysics computing; neural nets; vegetation mapping; 400 to 910 nm; IR; algorithm; biophysical parameters; directional spaceborne POLDER optical method; geophysical measurement technique; global scale; infrared imaging; inversion; land surface; neural net; neural network; optical imaging; radiative transfer model; remote sensing; spectra; vegetation mapping; visible; Africa; Atmospheric modeling; Biosphere; Computer networks; Land surface; Neural networks; Prototypes; Radiometry; Reflectivity; Vegetation mapping;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 1999. IGARSS '99 Proceedings. IEEE 1999 International

Conference_Location

Hamburg

Print_ISBN

0-7803-5207-6

Type

conf

DOI

10.1109/IGARSS.1999.772121

Filename

772121