162
Multiscale Hydrologic Remote Sensing: Perspectives and Applications
Bastiaanssen, W. G. M., David, J. M., and Ian, W. M. (2000b). Remote sensing for irrigated
agriculture: Examples from research and possible applications. Agricultural Water
Management, 46, 137–155.
Bastiaanssen, W. G. M., Menenti, M., and Feddes, R. A. (1998a). A remote sensing surface
energy balance algorithm for land (SEBAL). 1. Formulation. Journal of Hydrology, 212,
198–212.
Bastiaanssen, W. G. M., Pelgrum, H., and Wang, J. (1998b). A remote sensing surface energy
balance algorithm for land (SEBAL). 2. Validation. Journal of Hydrology, 212, 213–229.
Bayarjargal, Y., Karnieli, A., Bayasgalan, M., Khudulmur, S., Gandush, C., and Tucker, C. J.
(2006). A comparative study of NOAA–AVHRR derived drought indices using change
vector analysis. Remote Sensing of Environment, 105, 9–22.
Bhuiyan, C., Singh, R. P., and Kogan, F. N. (2006). Monitoring drought dynamics in the
Aravalli region (India) using different indices based on ground and remote sensing data.
International Journal of Applied Earth Observation and Geoinformation, 8, 289–302.
Brolley, J. M., O’Brien, J. J., Schoo, J., and Zie, D. (2007). Experimental drought threat forecast for Florida. Agricultural and Forest Meteorology, 145, 84–96.
Cao, J. (2002). Analysis of the cause of seawater intrusion in Laizhou Bay of Shandong
Province. Journal of the Graduates, Sun Yat-Sen University (Natural Sciences,
Medicine), 23, 104–111.
Carlson, T. N., Capehart, W. J., and Gillies, R. R. (1995a). A new look at the simplified method
for remote sensing of daily evapotranspiration. Remote Sensing of Environment, 54,
161–167.
Carlson, T. N., Gillies, R. R., and Schmugge, T. J. (1995b). An interpretation of methodologies
for indirect measurement of soil water content. Agricultural and Forest Meteorology,
77(3–4), 191–205.
Carlson, T. N., Gillies, R. R., and Perry, E. M. (1994). A method to make use of thermal
infrared temperature and NDVI measurements to infer surface soil water content and
fractional vegetation cover. Remote Sensing Reviews, 9, 161–173.
Chen, D., Huang, J., and Jackson, T. J. (2005). Vegetation water content estimation for corn
and soybeans using spectral indices derived from MODIS near- and short-wave infrared
bands. Remote Sensing of Environment, 98(2–3), 225–236.
Chen, X. L., Zhao, H. M., Li, P. X., and Yin, Z. Y. (2006). Remote sensing image-based analy(2006). Remote sensing image-based analyRemote sensing image-based analysis of the relationship between urban heat island and land use/cover changes. Remote
Sensing of Environment, 104, 133–146.
England, A. W. (1990). Radiobrightness of diurnally heated freezing soil. IEEE Transactions
on Geoscience and Remote Sensing, 28(3), 464–476.
England, A. W., Galantowicz, J. F., and Schretter, M. S. (1992). The radio brightness thermal
inertia measure of soil moisture. IEEE Transactions on Geoscience and Remote Sensing,
30(1), 132–139.
Fensholt, R. and Sandholt, I. (2003). Derivation of a shortwave infrared water stress index
from MODIS near- and shortwave infrared data in a semiarid environment. Remote
Sensing of Environment, 87(1), 111–121.
Ghulam, A., Qin, Q. M., Teyip, T., and Li, Z. L. (2007). Modified perpendicular drought index
(MPDI): A real-time drought monitoring method. Journal of Photogrammetry and
Remote Sensing, 62, 150–164.
Gillies, R. R. and Carlson, T. N. (1995). Thermal remote sensing of surface soil water content
with partial vegetation cover for incorporation into climate models. Journal of Applied
Meteorology, 34, 745–756.
Gillies, R. R., Carlson, T. N., and Kustas, W. P. (1997). A verification of the ‘triangle’ method
for obtaining surface soil water content and energy fluxes from remote measurements
of the normalized difference vegetation index (NDVI) and surface radiant temperature.
International Journal of Remote Sensing, 18(15), 3145–3166.
Multiscale Hydrologic Remote Sensing: Perspectives and Applications
Bastiaanssen, W. G. M., David, J. M., and Ian, W. M. (2000b). Remote sensing for irrigated
agriculture: Examples from research and possible applications. Agricultural Water
Management, 46, 137–155.
Bastiaanssen, W. G. M., Menenti, M., and Feddes, R. A. (1998a). A remote sensing surface
energy balance algorithm for land (SEBAL). 1. Formulation. Journal of Hydrology, 212,
198–212.
Bastiaanssen, W. G. M., Pelgrum, H., and Wang, J. (1998b). A remote sensing surface energy
balance algorithm for land (SEBAL). 2. Validation. Journal of Hydrology, 212, 213–229.
Bayarjargal, Y., Karnieli, A., Bayasgalan, M., Khudulmur, S., Gandush, C., and Tucker, C. J.
(2006). A comparative study of NOAA–AVHRR derived drought indices using change
vector analysis. Remote Sensing of Environment, 105, 9–22.
Bhuiyan, C., Singh, R. P., and Kogan, F. N. (2006). Monitoring drought dynamics in the
Aravalli region (India) using different indices based on ground and remote sensing data.
International Journal of Applied Earth Observation and Geoinformation, 8, 289–302.
Brolley, J. M., O’Brien, J. J., Schoo, J., and Zie, D. (2007). Experimental drought threat forecast for Florida. Agricultural and Forest Meteorology, 145, 84–96.
Cao, J. (2002). Analysis of the cause of seawater intrusion in Laizhou Bay of Shandong
Province. Journal of the Graduates, Sun Yat-Sen University (Natural Sciences,
Medicine), 23, 104–111.
Carlson, T. N., Capehart, W. J., and Gillies, R. R. (1995a). A new look at the simplified method
for remote sensing of daily evapotranspiration. Remote Sensing of Environment, 54,
161–167.
Carlson, T. N., Gillies, R. R., and Schmugge, T. J. (1995b). An interpretation of methodologies
for indirect measurement of soil water content. Agricultural and Forest Meteorology,
77(3–4), 191–205.
Carlson, T. N., Gillies, R. R., and Perry, E. M. (1994). A method to make use of thermal
infrared temperature and NDVI measurements to infer surface soil water content and
fractional vegetation cover. Remote Sensing Reviews, 9, 161–173.
Chen, D., Huang, J., and Jackson, T. J. (2005). Vegetation water content estimation for corn
and soybeans using spectral indices derived from MODIS near- and short-wave infrared
bands. Remote Sensing of Environment, 98(2–3), 225–236.
Chen, X. L., Zhao, H. M., Li, P. X., and Yin, Z. Y. (2006). Remote sensing image-based analy(2006). Remote sensing image-based analyRemote sensing image-based analysis of the relationship between urban heat island and land use/cover changes. Remote
Sensing of Environment, 104, 133–146.
England, A. W. (1990). Radiobrightness of diurnally heated freezing soil. IEEE Transactions
on Geoscience and Remote Sensing, 28(3), 464–476.
England, A. W., Galantowicz, J. F., and Schretter, M. S. (1992). The radio brightness thermal
inertia measure of soil moisture. IEEE Transactions on Geoscience and Remote Sensing,
30(1), 132–139.
Fensholt, R. and Sandholt, I. (2003). Derivation of a shortwave infrared water stress index
from MODIS near- and shortwave infrared data in a semiarid environment. Remote
Sensing of Environment, 87(1), 111–121.
Ghulam, A., Qin, Q. M., Teyip, T., and Li, Z. L. (2007). Modified perpendicular drought index
(MPDI): A real-time drought monitoring method. Journal of Photogrammetry and
Remote Sensing, 62, 150–164.
Gillies, R. R. and Carlson, T. N. (1995). Thermal remote sensing of surface soil water content
with partial vegetation cover for incorporation into climate models. Journal of Applied
Meteorology, 34, 745–756.
Gillies, R. R., Carlson, T. N., and Kustas, W. P. (1997). A verification of the ‘triangle’ method
for obtaining surface soil water content and energy fluxes from remote measurements
of the normalized difference vegetation index (NDVI) and surface radiant temperature.
International Journal of Remote Sensing, 18(15), 3145–3166.