International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXV, Part B-YF. Istanbul 2004 
  
Cohen, W.B. et al., 2003. Comparisons of land cover and LAI 
estimates derived from ETM+ and MODIS for four sites 
in North America: a quality assessment of 2000/2001 
provisional MODIS products. Remote Sensing 
Environment, 88, pp. 233-255. 
EOS, 2003. NASA Earth Observing System Data Gateway, 
http://edcimswww.cr.usgs.gov/pub/imswelcome. 
Fassnacht, K.S., T.G Stith, 1997. Estimating the leaf area index 
of North central Wisconsin forests using the Landsat 
Thematic Mapper. Remote Sensing of Environment, 61, 
pp.229-245. 
Gower, S.H., C.J. Kucharik, J.M. Norman, 1999. Direct and 
indirect estimation of Leaf Area Index, fAPAR, and Net 
Primary Production of terrestrial ecosystems. Remote 
Sensing of Environment, 70, pp.29-51. 
Hong, S.Y., J.T. Lee, S.K. Rim, W.K. Jung, and LS. Jo,1998. 
Estimation of Paddy Rice Growth Increment by Using 
Spectral Reflectance Signature. Journal of the Korea 
Society of Remote Sensing, 14(1) , pp. 83-94. 
K.S. and J.S. Yoon, 1997. Radiometric correction of 
terrain. effects for SPOT and Landsat TM Imagery in 
Lee, 
mountainous forest area. Journal of the Korea Society of 
Remote Sensing, 13(3), pp. 277-292. 
K.S.,S.H. Kim, Y.I. Park, and K.C. Jang, 2003. Generation 
of forest Leaf Area Index (LAT) map using mutispectral 
Eee; 
satellite data and field measurements. Korean Journal of 
Remote Sensing, 19(5), pp.371-380. 
Kim, S.H. and K.S. Lee, 2003. Local validation of MODIS 
global Leaf Area Index (LAI) product over temperate 
forest. Korean Journal of Remote Sensing, 19(1), pp.1-9. 
Knyazikhin,Y., J.V. Martonchik, R.B. Myneni, D.J. Diner, and 
Running, S.W., 1998. Synergistic algorithm for estimating 
vegetation canopy leaf area index and fraction of absorbed 
photosynthetically active radiation from MODIS and 
MISR data. Journal of Geophysical Research, 103, 
pp.32257-32275. 
Myneni, R., and J. Ross, 1991. Photon-vegetation interactions. 
Springer-Verlag, First Edition. 
Myneni, R., Y. Knyazikhin, A. Lotsh, Y.Zhang, Y. Tian, Y. 
Wang, J.L. Privette, J.T. Morisette, S.W. Running, R. 
Nemani, J. Glassy, and P. Votava, 1999. MODIS Leaf Area 
Index (LAI) and Fraction of Photosynthetically Active 
Radiation absorbed by vegetation (FPAR) product 
Algorithm. Theoretical Basis Document v4, NASA. 
Panferov, O., Y. Knyazikhin, R.B. Myneni, J.Szarzynski, S. 
Engwald, K.G Schnitzler, and G. Gravenhorst, 2001. The 
role of canopy structure in the spectral variation of 
transmission and absorption of solar radiation in 
vegetation canopies. IEEE Transactions on Geoscience 
and Remote Sensing, 39(2), pp.241-253. 
Qi, J., Y. H. Kerr, M.S. Moran, 2000. Leaf area index estimates 
using remotely sensed data and BRDF models in a 
semiarid region. Remote Sensing of Environment, 73, 
pp.18-30. 
Sellers, P.J., Y. Mintz, Y.C. Sud, and A. Dalcher, 1986. A simple 
biosphere model(SiB) for use within general circulation 
models. Journal of Atmospheric Science, 43, pp.505-531. 
Tian, Y. Y. Zhang, Y. Knyazikhin, 2000. Prototyping of 
MODIS LAI and FPAR algorithm with LASUR and 
Landsat data. IEEE Transactions on Geoscience and 
Remote Sensing, 38, pp.2387-2400. 
Tian, Y., et al., 2002. Multiscale analysis and validation of the 
MODIS LAI product I. Uncertainty assessment. Remote 
Sensing of Environment, 83, pp. 414-430. 
Turner, D.P., W. B. Cohen, R. K. Robert, 1999. Relationships 
between leaf area index and Landsat TM spectral 
vegetation indices across three temperate zone sites. 
of 
32 
Remote Sensing of Environment, 70, pp.52-68. 
Wang, Y., Y. Tian, Y, Zhang., 2001. Invegetation of product 
accuracy as a function of input and model uncertainties 
case study with SeaWiFS and MODIS LAI/FAPR 
algorithm. Remote Sensing of Environment, 78, pp.299- 
313