456
E.T.Engman and G.A. Schultz
long range planning of future missions.
Appendices 20.1 and 20.2 list those future satellite/sensors that can be expected
in the near future and hoped for in the more distant future. Some of these are well
along in the planning and approval states whereas others are only in the proposal
stage.
20.8 Remote Sensing and Future Needs in Hydrology
There are potentially many new and exciting observations of the hydrologic cycle
that are going to be available from new satellite systems. For example,
HYDRO STAR (a NASA ESSP) and SMOS (an ESA Living Planet Explorer proposal) are planned small satellites that would carry a L-band radiometer that uses
aperture synthesis to achieve frequent global soil moisture measurements at about
30-50 km spatial resolution. If one of these missions is chosen for flight, it will be
the first satellite designed purely for hydrologic applications.
New models to allow the data to be analyzed and address previously intractable
problems will have to be developed specifically to use the new data types such as
soil moisture or snow wetness. Remote sensing can provide many of the necessary
data to supplement conventional data to expand hydrology in new directions and
also provide entirely new data types and forms that will help hydrologists tackle
previously unsolvable questions.
The future progress in the hydrological sciences will depend a great deal upon
the availability of adequate data for model development and validation. Remote
sensing can and should playa pivotal role in this progress. Without it, it is very
possible that future progress in the hydrological sciences will be severely retarded
if not completely stopped. With it hydrological sciences should be able to advance
rapidly and to successfully address some of the previously intractable problems in
hydrology and water management at all relevant scales, i.e. from microscale to
global.
References
Chahine M.T. (1992) The hydrologic cycle and its influence on climate, Nature, Vol. 359, pp
373-380
Dozier J. (1992) Opportunities to improve hydrologic data, Reviews of Geophysics, 30, 4, pp
315-331
Federal Council for Science and Technology (1962) Scientific Hydrology, Washington, D.C.
Grayson R.B.; Moore I.D. and McMahon T.A. (1992) Physically Based Hydrologic Modeling. 1.
A Terrain-Based ModelJor Investigative Purposes, Water Resources Research, Vol. 28, No.
10, pp 2639-2658
Grayson R.B.; Moore I.D. and McMahon T.A. (1992) Physically Based Hydrologic Modeling. 2.
Is the Concept Realistic?, Water Resources Research, Vol. 26, No. 10, pp. 2659-2666
Hornberger G.M. (1994) Data and analysis note: A new type of article for Water Resources
Research, Water Resources Research, Vol. 30, No. 12, pp 3241-3242
E.T.Engman and G.A. Schultz
long range planning of future missions.
Appendices 20.1 and 20.2 list those future satellite/sensors that can be expected
in the near future and hoped for in the more distant future. Some of these are well
along in the planning and approval states whereas others are only in the proposal
stage.
20.8 Remote Sensing and Future Needs in Hydrology
There are potentially many new and exciting observations of the hydrologic cycle
that are going to be available from new satellite systems. For example,
HYDRO STAR (a NASA ESSP) and SMOS (an ESA Living Planet Explorer proposal) are planned small satellites that would carry a L-band radiometer that uses
aperture synthesis to achieve frequent global soil moisture measurements at about
30-50 km spatial resolution. If one of these missions is chosen for flight, it will be
the first satellite designed purely for hydrologic applications.
New models to allow the data to be analyzed and address previously intractable
problems will have to be developed specifically to use the new data types such as
soil moisture or snow wetness. Remote sensing can provide many of the necessary
data to supplement conventional data to expand hydrology in new directions and
also provide entirely new data types and forms that will help hydrologists tackle
previously unsolvable questions.
The future progress in the hydrological sciences will depend a great deal upon
the availability of adequate data for model development and validation. Remote
sensing can and should playa pivotal role in this progress. Without it, it is very
possible that future progress in the hydrological sciences will be severely retarded
if not completely stopped. With it hydrological sciences should be able to advance
rapidly and to successfully address some of the previously intractable problems in
hydrology and water management at all relevant scales, i.e. from microscale to
global.
References
Chahine M.T. (1992) The hydrologic cycle and its influence on climate, Nature, Vol. 359, pp
373-380
Dozier J. (1992) Opportunities to improve hydrologic data, Reviews of Geophysics, 30, 4, pp
315-331
Federal Council for Science and Technology (1962) Scientific Hydrology, Washington, D.C.
Grayson R.B.; Moore I.D. and McMahon T.A. (1992) Physically Based Hydrologic Modeling. 1.
A Terrain-Based ModelJor Investigative Purposes, Water Resources Research, Vol. 28, No.
10, pp 2639-2658
Grayson R.B.; Moore I.D. and McMahon T.A. (1992) Physically Based Hydrologic Modeling. 2.
Is the Concept Realistic?, Water Resources Research, Vol. 26, No. 10, pp. 2659-2666
Hornberger G.M. (1994) Data and analysis note: A new type of article for Water Resources
Research, Water Resources Research, Vol. 30, No. 12, pp 3241-3242