The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. XXXVII. Part B7. Beijing 2008 
acknowledged. The Swiss Federal Research Institute WSL 
supported anciallary data collection. 
REFERENCES 
Asner, G.P. and Vitousek, P.M., 2005. Remote analysis of 
biological invasion and biogeochemical change. PNAS, 102(12): 
4383-4386. 
Bacour, C., Jacquemoud, S., Leroy, M., Hautecoeur, O., Weiss, 
M., Prevot, L., Bruguier, N. and Chauki, H., 2002. Reliability 
of the estimation of vegetation characteristics by inversion of 
three canopy reflectance models on airborne POLDER data. 
Agronomie, 22(6): 555-565. 
Baret, F., Weiss, M., Troufleau, D., Prevot, L. and Combal, B., 
2000. Maximum information exploitation for canopy 
charcterization by remote sensing. Aspects of Applied Biology, 
60: 71-82. 
Baret, F., 1986. Contribution au suivi radiometrique de cultures 
de céréales, Université de Paris-Sud Orsay, Paris, 182 p. 
Barnsley, M.J., Settle, J.J., Cutter, M.A., Lobb, D.R. and Teston, 
F., 2004. The PROBA/CHRIS mission: A low-cost smallsat for 
hyperspectral multiangle observations of the earth surface and 
atmosphere. IEEE Transactions on Geoscience and Remote 
Sensing, 42(7): 1512-1520. 
Curran, P.J., 2001. Imaging spectrometry for ecological 
applications. International Journal of Applied Earth Observation 
and Geoinformation, 3(4): 305-312. 
Curran, P.J., Dungan, J.L. and Peterson, D.L., 2001. Estimating 
the foliar biochemical concentration of leaves with reflectance 
spectrometry testing the Kokaly and Clark methodologies. 
Remote Sensing of Environment, 76(3): 349-359. 
Delecolle, R., Maas, S.J., Guerif, M. and Baret, F., 1992. 
Remote-Sensing and Crop Production Models - Present Trends. 
ISPRS Journal of Photogrammetry and Remote Sensing, 47(2- 
3): 145-161. 
Gorodetzky, D., 2005. Function: evftorois.sav, 
http:/Avww.ittvis.com/codebank/search.asp?FID=93 (assessed 
13 Feb. 2007). 
Gower, S.T., Kucharik, C.J., Norman, J.M., 1999. Direct and 
indirect estimation of leaf area index, f(APAR) and net primary 
production of terrestrial ecosystems. Remote Sensing of 
Environment, 70(1): 29-51. 
Huber, S., Kneubühler, M., Koetz, B., Schopfer, J.T., Itten, K.I. 
and Zimmermann, N.E., 2008. Contribution of Directional 
CHRIS/PROBA Data for Estimating Canopy Biochemistry in 
Forest. Submitted to JARS. 
Jacquemoud, S. and Baret, F., 1990. Prospect - a Model of Leaf 
Optical-Properties Spectra. Remote Sensing of Environment, 
34(2): 75-91. 
Kimes, D., Knyazikhin, Y., Privette, J.L., Abuelgasim, A.A. 
and Gao, F., 2000. Inversion Methods for Physically-based 
Models. Remote Sensing Reviews, 18: 381-439. 
Kneubuhler, M., Koetz, B., Huber, S., Schopfer, J., Richter, R. 
and Itten, K., 2006. Monitoring Vegetation Growth using 
Multitemporal CHRIS/PROBA Data, Proc. IEEE IGARSS 2006, 
Denver, USA, 2677-2680. 
Kneubuhler, M., Koetz, B., Richter, R., Schaepman, M.E. and 
Itten, K., 2005. Geometric and Radiometric Pre-processing of 
CHRIS/Proba over Mountainous Terrain, 3rd CHRIS/Proba 
Workshop Frascati, Italy. ESA Publications Division, 
Noordwijk (NL), SP-593, CD-ROM. 
Koetz, B., Baret, F., Poilve, H. and Hill, J., 2005. Use of 
coupled canopy structure dynamic and radiative transfer models 
to estimate biophysical canopy characteristics. Remote Sensing 
of Environment, 95(1): 115-124. 
Kotz, B., Schaepman, M., Morsdorf, F., Bowyer, P., Itten, K. 
and Allgower, B., 2004.Radiative transfer modeling within a 
heterogeneous canopy for estimation of forest fire fuel 
properties. Remote Sensing of Environment, 92(3): 332-344. 
Kokaly, R.F. and Clark, R.N., 1999. Spectroscopic 
determination of leaf biochemistry using band-depth analysis of 
absorption features and stepwise multiple linear regression. 
Remote Sensing of Environment, 67(3): 267-287. 
Miller, A.J., 2002. Subset selection in regression. Monographs 
on statistics and applied probability; 95. Chapman & Hall/CRC, 
Boca Raton, xvii, 238 p. 
Moulin, S., Bondeau, A. and Delecolle, R., 1998. Combining 
agricultural crop models and satellite observations: from field to 
regional scales. International Journal of Remote Sensing, 19(6): 
1021-1036. 
Mutanga, O., Skidmore, A.K. and Prins, H.H.T., 2004. 
Predicting in situ pasture quality in the Kruger National Park, 
South Africa, using continuum-removed absorption features. 
Remote Sensing of Environment, 89(3): 393-408. 
Myneni, R.B., 1997. Estimation of Global Leaf Area Index and 
Absorbed PAR using Radiative Transfer Models. IEEE 
Transactions on Geoscience and Remote Sensing, 35(6): 1380- 
1393. 
PCI Geomatics, 2006. OrthoEngine, User's Guide Version 10.0. 
Pinty, B., Widlowski, J.L., Gobron, N., Verstraete, M.M. and 
Diner, D.J., 2002. Uniqueness of multiangular measurements - 
Part I: An indicator of subpixel surface heterogeneity from 
MISR. Ieee Transactions on Geoscience and Remote Sensing, 
40(7): 1560-1573. 
Rahman, H., Verstraete, M.M. and Pinty, B., 1993. Coupled 
Surface-Atmosphere Reflectance (Csar) Model .1. Model 
Description and Inversion on Synthetic Data. Journal of 
Geophysical Research-Atmospheres, 98(D11): 20779-20789. 
Rast, M., 2004. SPECTRA - Surface Processes and Ecosystem 
Changes Through Response Analysis. The Six Candidate Earth 
Explorer Missions, ESA SP-1279(2). ESA Publication Division, 
Nordwijk. 
Richter, R., 1998. Correction of satellite images over 
mountainous terrain. Applied Optics, 37: 4004-4015. 
Schaepman, M., Koetz, B., Schaepman-Strub, G. and Itten, K., 
2005. Spectrodirectional remote sensing for the improved