Previous studies have suggested that remotely sensed data should provi
de major benefits to hydrology and water resources and yet there are f
ew case studies that show practical benefits. One of the reasons for t
his is the lack of tools to convert remotely sensed data to the type o
f information useful to water resource systems operators. Hydrological
models can play an important role in this translation of data to info
rmation. This paper reviews some of the techniques presently used in h
ydrological models to make use of remotely sensed data and provides a
comprehensive reference list.