LAI, fAPAR and fCover CYCLOPES global products derived from VEGETATION

Author:

Baret Frédéric,Hagolle Olivier,Geiger Bernhard,Bicheron Patrice,Miras Bastien,Huc Mireille,Berthelot Béatrice,Niño Fernando,Weiss Marie,Samain Olivier,Roujean Jean Louis,Leroy Marc

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Geology,Soil Science

Reference50 articles.

1. Forward and inverse modelling of canopy directional reflectance using a neural network;Abuelgasim;International Journal of Remote Sensing,1998

2. Neural network in remote sensing;Atkinson;International Journal of Remote Sensing,1997

3. Neural network estimation of LAI, fAPAR, fCover and LAIxCab, from top of canopy MERIS reflectance data: principles and validation;Bacour;Remote Sensing of Environment,2006

4. Baret, F., & Buis, S. (in press). Estimating canopy characteristics from remote sensing observations. Review of methods and associated problems. In S. Liang (ed.), Advances in Land Remote Sensing: System, Modeling, Inversion and Application. Springer.

5. The robustness of canopy gap fraction estimates from red and near infrared reflectances: a comparison of approaches;Baret;Remote Sensing of Environment,1995

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