References

Asrar, G. Myneni, R.B. and Choudhury, B.J. 1992. Spatial heterogeneity in vegetation canopies and remote sensing of absorbed photosynthetically active radiation : a modeling study. Remote Sensing Environment, 41 : 85-103.

Bartholic, J. F., Namken, K.N. and Wiegand, C.L. 1972. Aerial thermal scanner to determine temperature of soil and crop canopies differing in water stress. Agronomy Journal, 6 :

603.

Becker, F. and Li, L. 1990. Towards a local split window method over land surface. Remote Sensing Environment, 32 (17) : 17-33.

Brest, C.L. and Goward, S.N. 1987. Deriving surface albedo from narrow band satellite data. International Journal of Remote Sensing, 8 : 351-367.

Brown, K.W. 1974. Calculation of evapotranspiration from crop surface temperature. Agricultural Meteorology, 14 : 199-209.

Brutsaert, W. 1975. On a derivable formula of long wave radiation from clear skies. Water Resource Research, 11 : 742 - 744.

Brutsaert, W. and Sugita 1992. Application of self-preservation in the diurnal evolution of the surface energy budget to determine daily evaporation. Journal ofGeophysical Research,

Chen, Y.; Li, X.; Jing, G. and Shi, P. 2003. An estimation model for daily regional evapotranspiration. International Journal of Remote Sensing, 24 : 199 - 205.

Clevers, J.G.PW. 1988. A simplified reflectance model for the estimation of Leaf Area Index. Remote Sensing Environment, 25 : 53-69.

Field, C.B.; Randerson, J.J. and Malmstrom, C.M. 1995. Global net primary productivity production : Combining ecology and remote sensing. Remote Sensing Environment,

Goita, K. and Royer, A. 1992. Land surface climatology and land cover change monitoring since 1973 over a north-Sahelian zone using Landsat data. Geocarto-International, 2: 15-28.

Hatfield, J.L.; Reginato, R.J. and Idso, S.B. 1984. Evaluation of canopy temperature evapotranspiration models over various crops. Agricultural and Forest Meteorology, 32: 41 - 53.

Kant, Yogesh 2000. Studies on Land Surface Process using Satellite Data. Ph.D. Thesis in Physics, Omania University, India.

Myneni, R.B. and Choudhary, B.J. 1993. Synergistic use of Optical and Microwave data in agro-meteorological applications. Advances in Space Research, 13 (5) : 239-248.

Mansor, S.B. and Cracknell, A.P. 1994. Monitoring of coal fires using thermal infrared data. International Journal of Remote Sensing, 15 (8) : 1675 - 1685.

Prasad, S.; Gupta, R.K. and Sesa Sai, M.V.R. 1995. Computation of surface albedo from NOAA - AVHRR data. Pages 51-57. In Proc. National Symposium on Remote Sensing Environment with special emphasis on Green Revolution. ISRS, India.

Prince, S.D. 1990. High temporal frequency remote sensing of primary production using NOAA - AVHRR. Pages 169-184. In book "Applications of Remote Sensing in Agriculture" (Eds. M.D. Steven and J.A. Clark). Butterworth.

Saha, S.K. and Pande, L.M.1995a. Regional surface albedo and ET modeling using combination of optical and thermal IR data. Pages 70-78. In book "Advances in Tropical Meteorology" (R.K. Dutta, Ed.). Concept Publishers, New Delhi, India.

Saha, S.K. and Pande, L.M.1995b. Modeling land surface energy balance components and assessment of crop water stress - a satellite thermal IR remote sensing approach. Proc. ISRS Silver Jubilee Year Seminar, Dehra Dun.

Saunders, R.W. 1990. In determination of broad band surface albedo from AVHRR visible and near infrared radiances. International Journal of Remote Sensing, 11 (1) : 49 -67.

Valor, E. and Caselles, V. 1996. Mapping land surface emissivity from NDVI; application to European, Africa and South American areas. Remote Sensing Environment, 57 : 167 - 184.

van de Gried, A.A. and Owe, M.1993. On the relationship between thermal emissivity and the normalized difference vegetation index for natural surfaces. International Journal of Remote Sensing, 14 : 1119 - 1131.

Valientz, J.A.; Nunez, M.; Lopez - Baeza E. and Poreno, J.F. 1995. Narrow band to broad band conversion for Meteosat - visible channel and broad - band albedo using both AVHRR -1 and 2 channels. International Journal of Remote Sensing, 16 (6) : 1147 -1166.

0 0

Post a comment