84
Multiscale Hydrologic Remote Sensing: Perspectives and Applications
Grace, J. (1981). Some effects of wind on plants, in Plants and Their Atmospheric
Environment, edited by J. Grace, E. D. Ford, and P. G. Jarvis, pp. 31–56. Blackwell
Scientific, London.
Kalma, J. D., McVicar, T. R., and Mccabe, M. F. (2008). Estimating land surface evaporation: A review of methods using remotely sensed surface temperature data. Survey of
Geophysics, 29(4–5), 421–469.
Kustas, W. P. and Norman, J. M. (1996). Use of remote sensing for evapotranspiration monitoring over land surfaces. Hydrological Science Journal, 41(4), 495–516.
Kustas, W. P. and Norman, J. M. (1999a). A two-source energy balance approach using
directional radiometric temperature observations for sparse canopy covered surface.
Agronomy Journal, 92, 847–854.
Kustas, W. P. and Norman, J. M. (1999b). Evaluation of soil and vegetation heat flux predictions using a simple two-source model with radiometric temperature for partial canopy
cover. Agricultural and Forest Meteorology, 94, 13–29.
Kustas, W. P., Perry, E. M., Doraiswamy, P. C., and Moran, M. S. (1994). Using satellite
remote sensing to extrapolate evapotranspiration estimates in time and space over a
semiarid Rangeland basin. Remote Sensing of Environment, 49, 224–238.
Kustas, W. P., Norman, J. M., Shmugge, T. J., and Anderson, M. C. (2004). Mapping surface
energy fluxes with radiometric temperature, in Thermal Remote Sensing in Land Surface
Processes, edited by D. A. Quattrocchi and J. C. Luvall, pp. 205–253. CRC Press, Boca
Raton, FL.
Liu, Y., Yamaguchi, Y., and Ke, C. (2007). Reducing the discrepancy between ASTER and
MODIS land surface temperature products. Sensors, 7, 3043–3057.
McNaughton, K. G. and van den Hurk, B. J. J. M. (1995). A “Lagrangian” revision of the
resistors in the two-layer model for calculating the energy budget of a plant canopy.
Boundary-Layer Meteorology, 74, 262–288.
Menenti, M. (2000). Evaporation, in Remote Sensing in Hydrology and Water Management,
edited by G. A. Schultz and E. T. Engman, pp. 157–188. Springer Verlag, Berlin.
Menenti, M., Bastiaanssen, W. G. M., van Eick, D., and Abl El Karim, M. A. (1989). Linear
relationships between surface reflectance and temperature and their application to map
evaporation of groundwater. Advances in Space Research, 9(1), 165–176.
Menenti, M. and Choudhury, B. J. (1993). Parameterization of land surface evaporation by
means of location dependent potential evaporation and surface temperature range, in
Exchange Processes at the Land Surface for a Range of Space and Time Scales, edited
by H. J. Bolle et al., Vol. 212, pp. 561–568. IAHS Publications, Oxfordshire, UK.
Moran, M. S., Clarke, T. R., Inoue, Y., and Vidal, A. (1994). Estimating crop water deficit using the relation between surface-air temperature and spectral vegetation index.
Remote Sensing of Environment, 49, 246–263.
Norman, J. M., Kustas, W. P., and Humes, K. S. (1995). A two-source approach for estimatA two-source approach for estimating soil and vegetation energy fluxes in observations of directional radiometric surface
temperature. Agricultural and Forest Meteorology, 77, 263–293.
Price, J. C. (1990). Information content of soil spectra. Remote Sensing of Environment, 33,
113–121.
Priestley, C. H. B. and Taylor, R. J. (1972). On the assessment of surface heat flux and evaporation using large-scale parameters. Monthly Weather Review, 100, 81–92.
Roerink, G. J., Su, Z., and Menenti, M. (2000). S-SEBI: A simple remote sensing algorithm
to estimate the surface energy balance. Physics and Chemistry of the Earth—Part B:
Hydrology, Oceans and Atmosphere, 25(2), 147–157.
Rouse, J. W., Haas, R. H., Schell, J. A., and Deering, D. W. (1974). Monitoring Vegetation
Systems in the Great Plains with ERTS, Proceedings of the Third Earth Resources
Technology Satellite-1 Symposium, Greenbelt, NASA SP-351, 1, 3010-317.
Multiscale Hydrologic Remote Sensing: Perspectives and Applications
Grace, J. (1981). Some effects of wind on plants, in Plants and Their Atmospheric
Environment, edited by J. Grace, E. D. Ford, and P. G. Jarvis, pp. 31–56. Blackwell
Scientific, London.
Kalma, J. D., McVicar, T. R., and Mccabe, M. F. (2008). Estimating land surface evaporation: A review of methods using remotely sensed surface temperature data. Survey of
Geophysics, 29(4–5), 421–469.
Kustas, W. P. and Norman, J. M. (1996). Use of remote sensing for evapotranspiration monitoring over land surfaces. Hydrological Science Journal, 41(4), 495–516.
Kustas, W. P. and Norman, J. M. (1999a). A two-source energy balance approach using
directional radiometric temperature observations for sparse canopy covered surface.
Agronomy Journal, 92, 847–854.
Kustas, W. P. and Norman, J. M. (1999b). Evaluation of soil and vegetation heat flux predictions using a simple two-source model with radiometric temperature for partial canopy
cover. Agricultural and Forest Meteorology, 94, 13–29.
Kustas, W. P., Perry, E. M., Doraiswamy, P. C., and Moran, M. S. (1994). Using satellite
remote sensing to extrapolate evapotranspiration estimates in time and space over a
semiarid Rangeland basin. Remote Sensing of Environment, 49, 224–238.
Kustas, W. P., Norman, J. M., Shmugge, T. J., and Anderson, M. C. (2004). Mapping surface
energy fluxes with radiometric temperature, in Thermal Remote Sensing in Land Surface
Processes, edited by D. A. Quattrocchi and J. C. Luvall, pp. 205–253. CRC Press, Boca
Raton, FL.
Liu, Y., Yamaguchi, Y., and Ke, C. (2007). Reducing the discrepancy between ASTER and
MODIS land surface temperature products. Sensors, 7, 3043–3057.
McNaughton, K. G. and van den Hurk, B. J. J. M. (1995). A “Lagrangian” revision of the
resistors in the two-layer model for calculating the energy budget of a plant canopy.
Boundary-Layer Meteorology, 74, 262–288.
Menenti, M. (2000). Evaporation, in Remote Sensing in Hydrology and Water Management,
edited by G. A. Schultz and E. T. Engman, pp. 157–188. Springer Verlag, Berlin.
Menenti, M., Bastiaanssen, W. G. M., van Eick, D., and Abl El Karim, M. A. (1989). Linear
relationships between surface reflectance and temperature and their application to map
evaporation of groundwater. Advances in Space Research, 9(1), 165–176.
Menenti, M. and Choudhury, B. J. (1993). Parameterization of land surface evaporation by
means of location dependent potential evaporation and surface temperature range, in
Exchange Processes at the Land Surface for a Range of Space and Time Scales, edited
by H. J. Bolle et al., Vol. 212, pp. 561–568. IAHS Publications, Oxfordshire, UK.
Moran, M. S., Clarke, T. R., Inoue, Y., and Vidal, A. (1994). Estimating crop water deficit using the relation between surface-air temperature and spectral vegetation index.
Remote Sensing of Environment, 49, 246–263.
Norman, J. M., Kustas, W. P., and Humes, K. S. (1995). A two-source approach for estimatA two-source approach for estimating soil and vegetation energy fluxes in observations of directional radiometric surface
temperature. Agricultural and Forest Meteorology, 77, 263–293.
Price, J. C. (1990). Information content of soil spectra. Remote Sensing of Environment, 33,
113–121.
Priestley, C. H. B. and Taylor, R. J. (1972). On the assessment of surface heat flux and evaporation using large-scale parameters. Monthly Weather Review, 100, 81–92.
Roerink, G. J., Su, Z., and Menenti, M. (2000). S-SEBI: A simple remote sensing algorithm
to estimate the surface energy balance. Physics and Chemistry of the Earth—Part B:
Hydrology, Oceans and Atmosphere, 25(2), 147–157.
Rouse, J. W., Haas, R. H., Schell, J. A., and Deering, D. W. (1974). Monitoring Vegetation
Systems in the Great Plains with ERTS, Proceedings of the Third Earth Resources
Technology Satellite-1 Symposium, Greenbelt, NASA SP-351, 1, 3010-317.