International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXV, Part B7. Istanbul 2004 
  
  
Price, J. C., Estimating leaf area index from satellite data. /EEE 
Trans. Geoscience Remote Sensing, 1993, 31, pp. 727-734. 
Privette, J. L., R. B .Myneni, , Y. Knyazikhin,, M. Mukelabai, 
G. Roberts, Y. Tian, Y. Wang, and S. G. Leblanc, Early spatial 
and temporal validation of MODIS LAI product in the Southern 
African Kalahari. Remote Sens. Environ., 2002. 83, pp. 232- 
243. 
Qiu J., W. Gao, and B. M. Lesht, 1998. Inverting optical 
reflectance to estimate surface properties of vegetation 
canopies. /nt. Jl. Remote Sens., 19, pp. 641-656. 
Running, S., D. Peterson, M. Spanner, and K. Teuber, Remote 
sensing of coniferous forest leaf area. Ecology, 1996, 67, pp. 
273-276. 
148 
Turner, D. P., W. B. Cohen, R. E. Kennedy, K. S. Fassnacht, 
and J. M. Briggs, Relationships between leaf area index, 
fAPAR, and net primary production of terrestrial ecosystems. 
Remote Sens. Environ., 1999. 70, pp. 52-68. 
Vermote E., D. Tanre, J. L. Deuze, M. Herman and J. J. 
Morcrette, 1997. “Second Simulation of the Satellite Signal in 
the Solar Spectrum (6S)", 6s User Guide version 2. 218 pp 
Wolfe R. E., D. P. Roy and E. Vermote, 1998. MODIS land 
data storage, gridding and compositing methodology: level 2 
grid. Remote | Sens. | Environ. 36, pp. 1324-1338 
Internationc 
Ier — 
LISS | 
Lax Lins Eo 
TOA reflex 
6S ¢ 
Atmospheric 
reflectar 
Coarse r 
LAL i 
Figure |. 
LISS-III c 
NDVI — 
e 
$ 
  
| 0 
Figure 2. F 
fields with 
  
  
Figure3. ( 
Decembe