5 Remote Sensing in Hydrological Modeling
101
Ott, M. , Z. Su, A.H. Schumann, and G.A. Schultz, Development of a distributed hydrological
model for flood forecasting and impact assessment of land use change in the international
Mosel River Basins, Proceedings of the Vienna Symposium. IAHS Pub!. No. 201,1991
Ottle, C., D. Vodal-Madjar, and G. Girard, Remote sensing applications to hydrological modeling. J. of Hydrol. 105,369-384,1989
Papadakis, I., J Napiorkowski, and G.A. Schultz, Monthly runoff generation by non-linear model
using multispectral and multitemporal satellite imagery. Adv. Space Res., Vol 13, No 5, pp.
(5)181-(5)186, 1993
Peck, E.L., Keefer, T.N. and Johnson, E.R. Strategies for Using Remotely Sensed Data in Hydrologic Models. NASA Report No. CR-66729, Goddard Space Flight Center, Greenbelt,
MD., 1981,52 pp.
Peters-Lidard, C., E. Blackburn, X. Liang, E. F. Wood, The effect of soil thermal conductivity
parameterization on surface energy fluxes and temperatures, J. Atmos. Sci., in press, 1997
Prabhakara, C. and G. Dalu, Remote sensing of the surface emissivity at 9 11 over the globe, J.
Geophys. Res., 81, 3719-3724,1976
Prihodko, L., Estimation of air temperature from remotely sensed observations, MA thesis,
University of Maryland at College Park, 1992
Prihodko, L., and S. N. Goward, Estimation of air temperature from remotely sensed observations, Remote Sens. Environ., in review, 1997
Prince, S. D., and S. N. Goward, Global primary production: a remote sensing approach, J.
Biogeography, 22, 2829-2849, 1995
Prince, S. D., Goetz, S. J., Dubayah, R., Czajkowski, K., and Thawley, M., Inference of surface
and air temperature, atmospheric precipitable water and vapor pressure deficit using A VHRR
satellite observations: validation of algorithms. Journal of Hydrology, in press, 1998
Pinker, R.T. and I. Laszlo, Modeling surface solar irradiance for satellite applications on a
global scale, J. App!. Meteor., 31,194-211, 1992
Ragan, R.M and T.J. Jackson, Runoff synthesis using Landsat and SCS model. J. Hydrau!. Div.,
ASCE 106,(HY5),pp667-78, 1980
Rango, A., A. Feldman, T.S. George, III, and R.M. Ragan, Effective use of Landsat data in
hydrologic models, Water Resour. Bull., 19, pp. 165-174, 1983
Rott, H., J. Aschbacher, and K.G. Lenhart, Study of River Runoff Prediction Based on Satellite
Data. European Space Agency final Report, No. 5376, 1986
Rowntree, P.R. and J. Lean, Validation of hydrological schemes for climate models against
catchment data, J. Hydrology, 155,301-323,1994
Schultz, G.A. and E.C. Barrett, Advances in remote sensing for hydrology and water resources
management, Technical Documents in Hydrology, UNESCO, Paris, 1989, 102pp
Schultz, G.A. , Hydrological modeling based remote sensing information Adv. Space Res., Vol.
13, No.5, pp.(5)149-(5)166, 1993
Sellers, P.J., S.O. Los, C.J. Tucker, C.O. Justice, D.A. Dazlich, G.J. Collatz, and D.A. Randall,
"A global I degree x I degree NDVI data set for climate studies. Part 2: The generation of
global fields of terrestrial biophysical parameters from the NDVI," Inter. J. Remote Sens, in
press
Smith, J.A., D.-J. Seo, M.L. Baeck, and M.D. Hudlow, An intercomparison study ofNEXRAD
precipitation estimates, Water Resour. Res., 32, 2035, 1996
Smith, W.L., Note on the relationship between total precipitable water and surface dew point, J.
Appl. Meteor., 5, 726-727,1966
Stamm, J.F., E.F. Wood, and D.P. Lettemnaier, Sensitivity of a GCM simulation of global climate to the representation ofland surface hydrology, J. Climate, 7,1218-1239,1994
Striibing, G. and Schultz, A. Estimation of monthly river runoff data on the basis of satellite
imagery. Proc. Hamburg Symposium. IAHS Pub!. NO. 145, 1983, pp. 491-498
Tennessee Valley Authority (TVA), Heat and Mass Transfer Between a Water Surface and the
Atmosphere, Laboratory Report no. 14, Norris, Tennessee, 1972
Thomas, D.M. and Benson, M.A. Generalized Streamflow Characteristics from Drainage Basin
Characteristics. USGS Water Supply Paper. 1955. Washington, DC, 1970,55 pp.
101
Ott, M. , Z. Su, A.H. Schumann, and G.A. Schultz, Development of a distributed hydrological
model for flood forecasting and impact assessment of land use change in the international
Mosel River Basins, Proceedings of the Vienna Symposium. IAHS Pub!. No. 201,1991
Ottle, C., D. Vodal-Madjar, and G. Girard, Remote sensing applications to hydrological modeling. J. of Hydrol. 105,369-384,1989
Papadakis, I., J Napiorkowski, and G.A. Schultz, Monthly runoff generation by non-linear model
using multispectral and multitemporal satellite imagery. Adv. Space Res., Vol 13, No 5, pp.
(5)181-(5)186, 1993
Peck, E.L., Keefer, T.N. and Johnson, E.R. Strategies for Using Remotely Sensed Data in Hydrologic Models. NASA Report No. CR-66729, Goddard Space Flight Center, Greenbelt,
MD., 1981,52 pp.
Peters-Lidard, C., E. Blackburn, X. Liang, E. F. Wood, The effect of soil thermal conductivity
parameterization on surface energy fluxes and temperatures, J. Atmos. Sci., in press, 1997
Prabhakara, C. and G. Dalu, Remote sensing of the surface emissivity at 9 11 over the globe, J.
Geophys. Res., 81, 3719-3724,1976
Prihodko, L., Estimation of air temperature from remotely sensed observations, MA thesis,
University of Maryland at College Park, 1992
Prihodko, L., and S. N. Goward, Estimation of air temperature from remotely sensed observations, Remote Sens. Environ., in review, 1997
Prince, S. D., and S. N. Goward, Global primary production: a remote sensing approach, J.
Biogeography, 22, 2829-2849, 1995
Prince, S. D., Goetz, S. J., Dubayah, R., Czajkowski, K., and Thawley, M., Inference of surface
and air temperature, atmospheric precipitable water and vapor pressure deficit using A VHRR
satellite observations: validation of algorithms. Journal of Hydrology, in press, 1998
Pinker, R.T. and I. Laszlo, Modeling surface solar irradiance for satellite applications on a
global scale, J. App!. Meteor., 31,194-211, 1992
Ragan, R.M and T.J. Jackson, Runoff synthesis using Landsat and SCS model. J. Hydrau!. Div.,
ASCE 106,(HY5),pp667-78, 1980
Rango, A., A. Feldman, T.S. George, III, and R.M. Ragan, Effective use of Landsat data in
hydrologic models, Water Resour. Bull., 19, pp. 165-174, 1983
Rott, H., J. Aschbacher, and K.G. Lenhart, Study of River Runoff Prediction Based on Satellite
Data. European Space Agency final Report, No. 5376, 1986
Rowntree, P.R. and J. Lean, Validation of hydrological schemes for climate models against
catchment data, J. Hydrology, 155,301-323,1994
Schultz, G.A. and E.C. Barrett, Advances in remote sensing for hydrology and water resources
management, Technical Documents in Hydrology, UNESCO, Paris, 1989, 102pp
Schultz, G.A. , Hydrological modeling based remote sensing information Adv. Space Res., Vol.
13, No.5, pp.(5)149-(5)166, 1993
Sellers, P.J., S.O. Los, C.J. Tucker, C.O. Justice, D.A. Dazlich, G.J. Collatz, and D.A. Randall,
"A global I degree x I degree NDVI data set for climate studies. Part 2: The generation of
global fields of terrestrial biophysical parameters from the NDVI," Inter. J. Remote Sens, in
press
Smith, J.A., D.-J. Seo, M.L. Baeck, and M.D. Hudlow, An intercomparison study ofNEXRAD
precipitation estimates, Water Resour. Res., 32, 2035, 1996
Smith, W.L., Note on the relationship between total precipitable water and surface dew point, J.
Appl. Meteor., 5, 726-727,1966
Stamm, J.F., E.F. Wood, and D.P. Lettemnaier, Sensitivity of a GCM simulation of global climate to the representation ofland surface hydrology, J. Climate, 7,1218-1239,1994
Striibing, G. and Schultz, A. Estimation of monthly river runoff data on the basis of satellite
imagery. Proc. Hamburg Symposium. IAHS Pub!. NO. 145, 1983, pp. 491-498
Tennessee Valley Authority (TVA), Heat and Mass Transfer Between a Water Surface and the
Atmosphere, Laboratory Report no. 14, Norris, Tennessee, 1972
Thomas, D.M. and Benson, M.A. Generalized Streamflow Characteristics from Drainage Basin
Characteristics. USGS Water Supply Paper. 1955. Washington, DC, 1970,55 pp.