The building of radiometric calibration test site for satellite sensors in China 
) D. WU (1/2), Y. ZHU (3), Z. WANG (1), B. GE (1), Y. YIN (2) 
(I) China Centre for Resources Satellite Data and Applications, Beijing, China 
•nbelt) 75 (2) Centre for Remote Sensing in Geology, Ministry of Geology and Mineral Resources P.R.C. 
(3) Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences 167 
>rrected 
Estimation de l’épaisseur optique des aérosols à partir de la mesure de l’éclairement spectral global 
J. ZULLO Jr. (Cepagri-DCA/FEE [UNICAMP], Cidade Universitària Zeferino Vaz, 
ich Switzerland) 85 Campinas, Brasil), X.-F. GU et G. GUYOT (INRA Bioclimatologie, Montfavet, France) 173 
ùnation 
ire d’Etudes 
mio, 
NRA), 
Climat et de 
<-ance 
>raphy, 
>f Nottingham, 
103 
laging spectrometer 
f Geography 
THEME II : Haute résolution spectrale dans le spectre solaire 
Hight spectral resolution in the solar spectrum 
Model inversion to retrieve canopy characteristics from high spectral resolution data 
F. BARET (I) and S. JACQUEMOUD (2), B. ANDR1EU (3), M. DANSON (4), 
K. JAGGARD (5) 
(1) I NRA Bioclimatologie, Montfavet, France 
(2) JRC, IRSA/AT, Ispra (Va), Italy (aéroport) 
(3) INRA Bioclimatologie, Thivernal Grignon, France 
(4) Dept. Geography, University of Salford, Manchester, U.K. 
(5) Broom's Barn Experimental Station, Higham, Burry St Edmunds, U.K. 181 
Radiative transfer code based estimation of atmospheric parameters for inversion of imaging 
spectrometer measured radiance to apparent surface reflectance 
R. O. GREEN (JPL, Califormnia Institute of Technology, Pasadena, CA, USA) 193 
wlogy, Pasadena, USA) 
field spectroscopy 
• I for Field 
outhampton, U.K.) 
ish National Space 
Cambridgeshire, U.K.) 127 
, USA) 
135 
ent, 
nvironmental Science, 
x>ughborough, U.K. 143 
lote sensing of vegetation : 
i 
iter / Code 923 
enter / Code 913 
nasties 
151 
rgy balance 
High spectral resolution remote sensing of canopy chemistry 
M.-E. MARTIN and J.-D. ABER (Complex Systems Research Center, Morse Hall, 
University of New Hampshire, Durham, USA) 201 
Study on spectral signature and development of hyperspectral remote sensing in China 
T. QINGXI (Institute of Remote Sensing Application, 
Chinen Academy qfSinica, Beijing, China) 209 
Use of imaging data as a paleothermometer mapping tool for the study 
of hydrothermal alteration areas such as cuprite, Nevada, USA 
G. SWAYZE, R.-N. CLARCK and F. KRUSE (1) (US Geological Survey, Federal Center, 
Denver, USA) (1) Center for the study of Earth from space (CSES), Cooperative Institute 
for Research in Environmental Sciences (CIRES), University of Colorado, Boulder, USA 219 
Spectral analysis of satellite data and their assessment by diffractometric analysis. 
Case of samples of a test zone of the south of Algeria 
A. BELHADJ-AISSA, Y. SMARA (1) and P. BILDGEN (2) 
(I) Laboratoire de Traitement d'images, USTHB / Institut d’Electronique, El-Alia, 
Bab-Ezzouar, Alger, Algérie. (2) Laboratoire de Géochimie et Métallogénie, 
Université Paris VI, Paris, France 221 
Seasonal variations in the spectral reflectance of deciduous tree canopies : 
evidence from a tower-mounted spectroradiometer 
G.-A. BLACKBURN (Department of Geography, King’s College London, Strand, London) 
E. -J. MILTON (Department of Geography, University of Southampton, Southampton) 231 
High-spectral resolution indices for forest leaf area index 
F. -M. DANSON, K.-J. W1NSTANLEY and A.-M. STOCKS (Telford Institute of 
Environmental Systems, Department of Geography, University of Salford, Manchester, UK) 239 
The relationship between spectral reflectance, absorption and backscattering 
159 for four inland water types