evaluated for other cases (crops, areas) as well, which eventually may result in a more generalized approach.
Moreover, for operational applications of the combined use of optical and radar measurements, the translation
to the use of spacebome data must be studied. The role of optical satellites like NOAA-AVHRR, Landsat-TM
and SPOT must be evaluated in relation to the role of radar satellites like ERS-1 and JERS-1.
6 - ACKNOWLEDGEMENTS
This paper describes a study that was carried out in the framework of the NRSP-2 under responsibility of the
Netherlands Remote Sensing Board (BCRS) and under contract no. 9837/92/NL/GS of ESA. Moreover, NASA
and ESA are acknowledged for providing the AVIRIS and AIRSAR data in the framework of MAC Europe 1991.
7 - REFERENCES
Bouman, B. A.M., 1991. Linking X-band radar backscattering and optical reflectance with crop growth models.Ph.D.
Thesis Agricultural University Wageningen, Wageningen, The Netherlands.
Bouman, B.A.M., H.W.J. van Kasteren & D. Uenk, 1992. Standard relations to estimate ground cover and LAI
of agricultural crops from reflectance measurements, Eur. J. Agron. 4: 249-262.
devers, J.G.P.W., 1988. The derivation of a simplified reflectance model for the estimation of leaf area index.
Rem. Sens. Envir. 25 : 53-69.
devers, J.G.P.W., 1989. The application of a weighted infrared-red vegetation index for estimating Leaf Area
Index by correcting for soil moisture. Rem. Sens. Envir. 29: 25-37.
Clevers, J.G.P.W. & H.J.C. van Leeuwen, 1994. Combining directional and high spectral resolution information
from optical remote sensing data for crop growth monitoring. Sixth International Symposium Physical
Measurements and Signatures in Remote Sensing, Val d’Isère, France, 17-21 January 1994. 8 pp.
Hoekman, D.H., L. Krul & E.P.W. Attema, 1982. A multilayer model for radar backscatter from vegetation
canopies. Proceedings of IGARSS’82 Symposium, Munich, pp. 4.1-4.7.
Leeuwen, H.J.G van, 1992. Multifrequency and multitemporal analysis of scatterometer radar data with respect
to agricultural crops using the Cloud model. MAESTRO/AGRISCATT report, ESA wpp-31, may 1992, Final
Workshop 6-7 March 1992, ESTEC, Noordwijk, The Netherlands.
Spitters, C.J.T., H. van Keulen & D.W.G. van Kraailingen, 1989. A simple and universal crop growth simulator:
SUCROS87. In: Simulation and systems management in crop protection. Ed.: R. Rabbinge, S.A. Ward &
H.H. van Laar. Simulation Monographs 32. Wageningen: Pudoc, 420 pp.