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Recent Advances and Future Implications of Remote Sensing for Hydrologic Modeling

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Recent Advances in the Modeling of Hydrologic Systems

Part of the book series: NATO ASI Series ((ASIC,volume 345))

Abstract

Remote sensing has begun to have an impact on applied hydrology as well as hydrologic research. Because remote sensing is basically spatial information it is providing a new form of data that hydrologists are not accustomed to working with. Remote sensing can also provide new types of information, such as the microwave measurements of soil moisture, that are not available via other means. This chapter reviews applications of remote sensing to hydrology and current research thrusts, and looks forward to new sensors and concepts that may be available in the near future.

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References

  • Allord, G. J., and E. L. Scarpace: 1979, ‘Improving Streamflow Estimates Through Use of Landsat,’ in Satellite Hydrology,5th Annual William T. Pecora Memorial Symposium on Remote Sensing,Sioux Falls, SD, pp. 284–291.

    Google Scholar 

  • American Water Resources Assoc.: 1974, ‘Satellite Analysis of the 1973 Mississippi River Floods,’ Water Resour. Bull. 10,1023–1096.

    Article  Google Scholar 

  • Andre, J. C., et al.: 1988, ‘Evaporation Over Land Surfaces: First Results from HAPEX-MOBILHY Special Observing Period,’ Annales Geophys. 6, 477–492.

    Google Scholar 

  • Barrett, E. C.: 1970, ‘The Estimation of Monthly Rainfall From Satellite Data,’ Monthly Weather Rev. 98, 322–327.

    Article  Google Scholar 

  • Barrett, E. C., M. J. Beaumont, A. Harrison, and T. S. Richards: 1986, ‘BIAS I 2 S Users Guide,’ Final Report to U.S. Dept. of Commerce, Washington, DC, Remote Sensing Unit, University of Bristol, UK, 72 pp.

    Google Scholar 

  • Barrett, E. C., and C. Kidd: 1987, ‘The Use of SMMR Data in Support of a VIR/IR Satellite Rainfall Monitoring Technique in Highly-Contrasting Climatic Environments,’ in J. C. Fischer (ed.), Passive Microwave Observing From Environmental Satellites, a Status Report, NOAA Tech. Report NESDIS 35, Washington, DC, pp. 109–123.

    Google Scholar 

  • Barrett, E. C., and D. W. Martin: 1981, The Use of Satellite Data in Rainfall Monitoring,Academic Press, London, 340 pp.

    Google Scholar 

  • Barton, I. J.: 1978, ‘A Case Study Comparison of Microwave Radiometer Measurements Over Bare and Vegetated Surfaces,’ J. Geophy. Res. 83, 3513–3517.

    Article  Google Scholar 

  • Baumgartner, M. F.: 1988, ‘Snowmelt Runoff Simulation Based on Snow Cover Mapping Using Digital Landsat-MSS and NOAAIAVHRR Data,’ USDA-ARS, Hydrology Laboratory Technical Report.

    Google Scholar 

  • Berg, C. P., D. E McGinnis, and D. G. Forsyth: 1980, ‘Mapping the 1978 Kentucky River Flood from NOAA-5 Satellite Thermal Infrared Data,’ Tech. Pap., ACSM-ASP Convention, American Society of Photogrammetry, St. Louis, MO, pp. 106–111.

    Google Scholar 

  • Berg, C. P., M. Matson, and D. R. Wiesnet: 1981, ‘Assessing the Red River of the North 1978 Flooding from NOAA Satellite Data,’ Satellite Hydrology, American Water Resources Association, Minneapolis, MN, pp. 309–315.

    Google Scholar 

  • Bernard, R., O. Taconet, and D. Vidal-Madjar: 1986, ‘Toward a Satellite System to Monitor the Spatial and Temporal Behavior of the Soil Water Content,’ Proc. IGARSS’86 Symposium,Zurich, 110, 751–-753.

    Google Scholar 

  • Bowley, C. J., J. C. Barnes, and A. Rango: 1981, ‘Applications Systems Verification and Transfer Project. Vol. VIII: Satellite Snow Mapping and Runoff Prediction Handbook,’ NASA Tech. Paper 1829, Goddard Space Flight Center, Greenbelt, MD, 97 pp.

    Google Scholar 

  • Brakke, T. W., and E. T. Kanemasu: 1981, ‘Insolation Estimation From Satellite Measurements of Reflected Radiation,’ Rem. Sens. of Environ. 11, 157–167.

    Article  Google Scholar 

  • Brest, C. L., and S. N. Goward: 1987, ‘Deriving Surface Albedo Measurements From Narrow Band Satellite Data,’ International Journal of Remote Sensing 8, 351–367.

    Article  Google Scholar 

  • Butler, D., et al.: 1988, ‘From Pattern to Process: The Strategy of the Earth Observing System,’ NASA, Washington, DC.

    Google Scholar 

  • Carroll, S. S., and T. R. Carroll: 1989, ‘Effect of Forest Biomass on Airborne Snow Water Equivalent Estimates Obtained by Measuring Terrestia Gamma Radiation,’ Remote Sensing Environment 7, 313–320.

    Article  Google Scholar 

  • Carroll, T. R., and M. Allen: 1988, ‘Airborne Gamma Radiation Snow Water Equivalent and Soil Moisture Measurements and Satellite Areal Extent of Snow Cover Measurements. A User’s Guide,’ Version 3.0, National Weather Service, NOAA, Minneapolis, MN, 54 pp.

    Google Scholar 

  • Carroll, T. R., and K. G. Vadnais: 1980, ‘Operational Airborne Measurement of Snow Water Equivalent Using Natural Terrestrial Gamma Radiation,’ in Proc. 48th Annual Western Snow Cont, Laramie, WY, pp. 97–106.

    Google Scholar 

  • Creutin, J. D., G. Delrieu, and T. Level: 1988, ‘Rain Measurement by Raingage - Radar Combination: A Geostatistical Approach,’ J. Atmospheric and Ocean Technology 5(1), 102–115.

    Article  Google Scholar 

  • Danes, Z. F., and P. L. R. Danes: 1988, ‘Polarization of Passive Microwave Signals as Indicators of Snow Water Equivalent,’ Proc. IGARSS’88 Symposium,Edinburgh, Scotland, ESA SP-284:441–442.

    Google Scholar 

  • Davies, J. A., and C. D. Allen: 1973, ‘Equilibrium, Potential and Actual Evaporation From Cropped Surfaces in Southern Ontario, ’ J. Appl. Meteor. 12,649–657.

    Article  Google Scholar 

  • Davis, P. A., and J. D. Tarpley: 1983, ‘Estimation of Shelter Temperatures From Operational Satellite Sounder Data,’ J. of Climate and Appl. Meteor. 22,369–376.

    Article  Google Scholar 

  • Dickinson, R. E., A. Henderson-Sellers, P. J. Kennedy, and M. F. Wilson: 1986, ‘Biosphere-Atmosphere Transfer Scheme (BATS) for the NCAR Community Climate Model,’ NCAR, Boulder, CO, Tech. Note TN 275 + STR.

    Google Scholar 

  • Dillard, J. P., and C. E. Orwig: 1979, ‘Use of Satellite Data in Runoff Forecasting in the Heavily Forested, Cloud Covered Pacific Northwest,’ Proc. Workshop on Operational Applications of Satellite Snow Cover Observations,NASA Conf. Publ. 2116, 127–150, Sparks, NV.

    Google Scholar 

  • Dozier, J.: 1984, ‘Snow Reflectance From Landsat-4 Thematic Mapper,’ IEEE Trans. Geosci. and Rem. Sens. GE-22(3), 323–328.

    Article  Google Scholar 

  • D’Souza, G., and E. C. Barrett: 1988, ‘A Comparitive Study of Candidate Techniques for U.S. Heavy Rainfall Monitoring Operations Using Meteorological Satellite Data,’ Final Report to U.S. Department of Commerce: Cooperative Agreement No. NA86AA-H-RA001, Amendment No. 3, University of Bristol, pp. 39.

    Google Scholar 

  • Eagleson, P. S.: 1990, Bull. Amer. Meteor. Soc., in press.

    Google Scholar 

  • Engman, E. T.: 1982, ‘Remote Sensing Applications in Watershed Modeling,’ in Applied Modeling in Catchment Hydrology, Water Resources Publications, Littleton, CO, pp. 473–494.

    Google Scholar 

  • Engman, E. T., G. Angus, and W. P. Kustas: 1989, ‘Relationship Between the Hydrologic Balance of a Small Watershed and Remotely Sensed Soil Moisture,’ Proc. IAHS Third Intl. Assembly,Baltimore, IAHS Publ. 186,75–84.

    Google Scholar 

  • Entekhabi, D., and P. S. Eagleson: 1989, ‘Land Surface Hydrology Parameterization for Atmospheric General Circulation Models Including Subgrid Scale Spatial Variability,’ J Climate 2,816–831.

    Article  Google Scholar 

  • Foster, J. L., D. K. Hall, and A. T. C. Chang: 1987, ‘Remote Sensing of Snow,’ EOS 68(32), 681–684.

    Article  Google Scholar 

  • Gash, J. H. C.: 1987, ‘An Analytical Framework For Extrapolating Evaporation Measurements by Remote Sensing Surface Temperature, ’ Int. J. Rem. Sens. 8(8), 1245–1249.

    Article  Google Scholar 

  • Gautier, C., G. Diak, and S. Masse: 1980, ‘A Simple Model to Estimate Incident Solar Radiation at the Surface from GOES Satellite Data, ’ J. Appl. Meteorol. 19,1005–11.

    Article  Google Scholar 

  • Hall, D. K., and J. Martinec: 1985, Remote Sensing of Ice and Snow, Chapman and Hall, London, x + 189.

    Book  Google Scholar 

  • Hannaford, J. E, and R. L. Hall: 1980, ‘Application of Satellite Imagery to Hydrologic Modeling Snowmelt Runoff in the Southern Sierra Nevada,’ in Operational Applications of Satellite Snowcover Observations,NASA CP-2116, pp. 201–222.

    Google Scholar 

  • Haralick, R. M., S. Wang, L. G. Shapiro, and J. B. Campbell: 1985, ‘Extraction of Drainage Networksby Using a Consistent Labeling Technique,’ Remote Sensing of Environment 18,163–175.

    Article  Google Scholar 

  • Heilman, J. L., E. T. Kanemasu, J. O. Bagley, and V. P. Rasmussen: 1977, ‘Evaluating Soil Moisture and Yield of Winter Wheat in the Great Plains Using Landsat Data,’ Rem. Sens. of Environment 6,315–326.

    Article  Google Scholar 

  • Hollingsworth, A., D. B. Shaw, P. Lowenberg, L. Illari, K. Arpi, and A. J. Simmons: 1986, ‘Monitoring of Analysis and Observation Quality by a Data Assimilation System,’ Mon. Weather Rev. 114,861–879.

    Article  Google Scholar 

  • Imhoff, M. L., C. Vermillion, M. H. Story, A. M. Choudhury, A. Gafoor, and E Polycyn: 1987, ‘Monsoon Flood Boundary Delineation and Damage Assessment Using Space Borne Imaging Radar and Landsat Data,’ Photogramm. Eng. Remote Sens. 53,405–413.

    Google Scholar 

  • Jackson, T. J.: 1988, ‘Research Toward an Operational Passive Microwave Remote Sensing System for Soil Moisture,’ J. Hydrology 102,95–112.

    Article  Google Scholar 

  • Jackson, R. D.: 1985, ‘Evaluating Evapotranspiration at Local and Regional Scales,’ IEEE Trans. Geosci. Remote Sensing GE--3,1086–95.

    Google Scholar 

  • Jackson, T. J., R. M. Ragan, and W. N. Fitch: 1977, ‘Test of Landsat-Based Urban Hydrologic Modeling,’ J Water Resources Planning and Management Div., ASCE 103(WR1), 141–158, Proc. Papers 12950.

    Google Scholar 

  • Jackson, R. D., R. J. Reginato, and S. B. Idso: 1977, ‘Wheat Canopy Temperature: A Practical Tool for Evaluating Water Requirements,’ Water Resources Research 13, 651–656.

    Article  Google Scholar 

  • Jensen, M. E., and H. R. Haise: 1963, ‘Estimating Evapotranspiration From Solar Radiation,’ Proc. American Society of Civil Engineering, J. Irrigation and Drainage Division 89,15–41.

    Google Scholar 

  • Kanemasu, E. T., L. R. Stone, and W. L. Powers: 1977, ‘Evapotranspiration Model Tested for Soybeans and Sorghum,’ Agronomy Journal 68,569–572.

    Article  Google Scholar 

  • Keller, M.: 1987, ‘Ausaperungskartierung mit Landsat-MSS daten zur Erfassung Oekologische Einflussgroessen im Gebirge,’ Ph.D. Thesis, Remote Sensing Series, 10 Dept. of Geography, Univ. of Zurich.

    Google Scholar 

  • Klatt, P., and G. A. Schultz: 1983, ‘Flood Forcasting on the Basis of Radar Rainfall Measurement and Rainfall Forcasting,’ Proc. Hamburg Symposium,IAHS Publ. 145, 307–315.

    Google Scholar 

  • Kotoda, K., S. Nakagawa, K. Kai, M. M. Yoshino, K. Takeda, and K. Seki: 1983, ‘Application of Equilibrium Evaporation Model to Estimate Evapotranspiration by Remote Sensing Technique in Remote Sensing of Snow and Evapotranspiration, Part II,’ Proc. Second U.S. Japan Snow and Evapotranspiration, Honolulu, Hawaii, NASA Conf. Pub. 2363, 115–123.

    Google Scholar 

  • Kunzi, K. F., S. Patil, and H. Rott: 1982, ‘Snow-covered Parameters Retrieved From NIMBUS-7 SMMR Data,’ IEEE Trans. Geosci. Rem. Sens. GE-20,452–467.

    Article  Google Scholar 

  • Leavesley, G. H., A. M. Lumb, and L. G. Saindon: 1987, ‘A Micro-computer Based Watershed-Modeling and Data-Management System,’ Proc. 55th Annual Western Snow Conference, Vancouver, B.C., pp. 108–117.

    Google Scholar 

  • Lowry, R. T, E. J. Langham, and N. Mudry: 1981, ‘A Preliminary Analysis of SAR Mapping of the Manitoba Flood, May 1979,’ Satellite Hydrology, American Water Res. Assoc., Sioux Falls, pp. 316–323.

    Google Scholar 

  • Manabe, S.: 1969, ‘Climate and Ocean Circulation: 1. The Atmospheric Circulation and the Hydrology of the Earth’s Surface,’ Mon. Weather Rev. 97, 739–774.

    Article  Google Scholar 

  • Martinec, J.: 1975, ‘Snowmelt-Runoff Model for Streanúlow Forecasts,’ Nordic Hydrology 6(3), 145–154.

    Google Scholar 

  • Martinec, J., and A. Rango: 1986, ‘Parameter Values for Snowmelt Runoff Modeling,’ J. Hydrology 84,197–219.

    Article  Google Scholar 

  • Matson, M., and D. R. Wiesnet: 1981, ‘New Data Base for Climate Studies,’ Nature 289(5795), 451–456.

    Article  Google Scholar 

  • Miller, W. A., M. B. Shasby, W. G. Rhode, and G. R. Johnson: 1982, ‘Developing In-place Data Bases by Incorporating Digital Terrain Data into the Landsat Classification Process,’ in Place Resource Inventories: Principles and Practices, Proc. Workshop,August 9–14,1981, Univ. of Maine, Orono. Spon American Society of Photogrammetry.

    Google Scholar 

  • NASA: 1984, ‘Earth Observing System, Volumes I and II,’ NASA TM-86129, NASA Goddard Space Flight Center, Greenbelt, MD.

    Google Scholar 

  • Osano, S., T. Motoki, and K. Suzuki: 1988, ‘An Estimation of Precipitation Intensity From GMS Data Using Digital Radar Echo Intensity Data,’ in J. S. Theon, and N. Fugone (eds.), Tropical Rainfall Measurements,pp. 459–461.

    Google Scholar 

  • Peck, E. L., T. N. Keefer, and E. R. Johnson: 1981, ‘Strategies for Using Remotely Sensed Data in Hydrologic Models,’ NASA Report No. CR-66729, Goddard Space Flight Center, Greenbelt, MD, 52 pp.

    Google Scholar 

  • Penman, H. L.: 1948, ‘Natural Evaporation From Open Water, Bare Soil and Grass,’ Proc. Roy. Soc. London A193,129–145.

    Google Scholar 

  • Price, J. C.: 1982, ‘Estimation of Regional Scale Evapotranspiration Through Analysis of Satellite Thermal-Infrared Data,’ IEEE Trans. on Geosci. and Rem. Sensing GE-20,286–292.

    Article  Google Scholar 

  • Priestley, C. H. B., and R. J. Taylor: 1972, ‘On the Assessment of Surface Heat Flux and Evaporation Using Large-Scale Parameters,’ Mon. Weather Rev. 100,81–92.

    Article  Google Scholar 

  • Ragan, R. M., and T J. Jackson: 1980, ‘Runoff Synthesis Using Landsat and SCS Model,’ J Hydraul. Div.,ASCE 106(HY5),667–78.

    Google Scholar 

  • Rango, A.: 1980, ‘Operational Applications of Satellite Snow Cover Observations,’ Water Res. Bull. 16(6),1066–1073.

    Article  Google Scholar 

  • Rango, A.: 1983, ‘Application of a Simple Snowmelt-Runoff Model to Large River Basins,’ Proc. Western Snow Conference, pp. 89–99.

    Google Scholar 

  • Rango, A.: 1985, ‘Results of the Snowmelt-Runoff Model in an International Test,’ Proc. 53rd Western Snow Conf.,Boulder, CO, Western Snow Conference, pp. 99–106.

    Google Scholar 

  • Rango, A., and A. T. Anderson: 1974, ‘Flood Hazard Studies in the Mississippi River Basin Using Remote Sensing,’ Water Resour. Bull. 10,1060–1081.

    Article  Google Scholar 

  • Rango, A., and J. Martinec: 1979, ‘Application of a Snowmelt-Runoff Model Using Landsat Data,’ Nordic Hydrology 10(4),225–238.

    Google Scholar 

  • Rango, A., V. V. Salomonson, and J. L. Foster: 1975, ‘Employment of Satellite Snow Cover Observations for Improving Seasonal Runoff Estimate,’ in Operational Applications of Satellite Snow Cover Observations, NASA SP-391, Washington, DC, pp. 157–174.

    Google Scholar 

  • Rango, A., and V. van Katwijk: 1990, ‘Developing and Testing of a Snowmelt-Runoff Forecasting Techniques,’ Water Resour. Bull. 26(1), 135–144.

    Article  Google Scholar 

  • Reginato, R. J., R. D. Jackson, and P. J. Pinter, Jr.: 1985, ‘Evapotranspiration Calculated From Remote Multispectral and Ground Station Meteorological Data,’ Rem. Sens. of Environ. 18,75–89.

    Article  Google Scholar 

  • Schmugge, T. J.: 1983, ‘Remote Sensing of Soil Moisture: Recent Advances,’ IEEE Trans. on Geosci. and Remote Sensing GE-21(3),336–344.

    Article  Google Scholar 

  • Schmugge, T. J., and J. P. Goutorbe: 1989, ‘Remotely Sensed Surface Temperature Observations in HAPEX,’ Proc. IGARSS’89, IEEE, 89CH2768–0, 2127–2129.

    Google Scholar 

  • Schmugge, T. J., T. J. Jackson, and H. L. McKim: 1980, ‘Survey of Methods for Soil Moisture Determination,’ Water Resour. Res. 16(6),961–979.

    Article  Google Scholar 

  • Schultz, G. A.: 1989, ‘Remote Sensing of Watershed Characteristics and Rainfall Input,’ in H. J. Morel-Seytoux (ed.), Unsaturated Flow in Hydrologic Modeling-Theory and Practice, NATO ASI Ser., Ser. C., vol. 275, Kluwer, Dordrecht, pp. 301–23.

    Chapter  Google Scholar 

  • Scofield, R. A., and V. J. Oliver: 1977, ‘A Scheme for Estimating Convective Rain from Satellite Imagery,’ NOAA/NESS Tech. Memo. 86, U.S. Dept of Commerce, NOAA, Washington, DC, 47 pp.

    Google Scholar 

  • Seguin, B., E. Assad, J. P. Feteaud, J. Imbernon, Y. Kerr, and J. P. Lagouarde: 1989, ‘Use of Meteorological Satellites for Water Balance Monitoring in Sahelian Regions,’ International Journal of Rem. Sens. 10,1101–1117.

    Article  Google Scholar 

  • Seguin, B., and B. Itier: 1983, ‘Using Midday Surface Temperature to Estimate Daily Evapotranspiration From Satellite Thermal IR Data,’ International Journal of Rem. Sens. 4,371–383.

    Article  Google Scholar 

  • Sellers, R J., E G. Hall, G. Asrar, D. E. Strebel, and R. E. Murphy: 1988, ‘The First ISLSCP Field Experiment,’ Bull. Amer. Meteor. Soc. 69,22–27.

    Article  Google Scholar 

  • Sellers, R J., Y. Mintz, Y. C. Sud, and A. Dalcher: 1986, ‘A Simple Biosphere Model for Use Within General Circulation Models, ’ J Amos. Sci. 43,505–531.

    Google Scholar 

  • Shuttleworth, W. J.: 1988, ‘Macrohydrology: The New Challenge for Process Hydrology,’ J. Hydrol. 100,31–56.

    Article  Google Scholar 

  • Shuttleworth, W. J., R. J. Gurney, A. Y. Hsu, and J. P. Ormsby: 1989, ‘FIFE: The Variation in Energy Partition at Surface Flux Sites, ’ in A. Rango (ed.), Remote Sensing and Large-Scale Global Processes,IAHS Pub. 186, Wallingford, UK, pp. 67–74.

    Google Scholar 

  • Simpson, J. R., R. F. Adler, and G. R. North: 1988, ‘A Proposed Tropical Rainfall Measuring Mission (TRMM) Satellite,’ Bull. Amer. Meteor. Soc. 69,278–295.

    Article  Google Scholar 

  • Spencer, R. W, H. M. Goodman, and R. E. Wood: 1988, ‘Precipitation Retrieval Over Land and Ocean with the SSM/I, Part 1: Identification and Characteristics of the Scattering Signal,’ J. Amos. and Oceanic Tech.

    Google Scholar 

  • Strubing, G., and A. Schultz: 1983, ‘Estimation of Monthly River Runoff Data on the Basis of Satellite Imagery,’ Proc. Hamburg Symposium, IAHS Publ. 145,491–498.

    Google Scholar 

  • Sollers, S. C., A. Rango, and D. L. Henniger: 1978, ‘Selecting Reconnaissance for Flood Plain Surveys,’ Water Resourc. Bull. 14,359–373.

    Article  Google Scholar 

  • Takemura, Y., K. Takase, and Y. Makihara: 1984, ‘Operational Precipitation Observation System Using Digital Radar and Rain Gauges,’ Proc. Nowcasting77,Norrkopping Sweeden, ESA SP-208, pp. 411–416.

    Google Scholar 

  • Tarpley, J. D.: 1979, ‘Estimating Incident Solar Radiation at the Surface From Geostationary Satellite Data,’ J. Appl. Meteor. 18,1172–1181.

    Article  Google Scholar 

  • Thomas, D. M., and M. A. Benson: 1970, ‘Generalized Streamflow Characteristics from Drainage Basin Characteristics,’ USGS Water Supply Paper, 1955, Washington, DC, 55 pp.

    Google Scholar 

  • Thornthwaite, C. W: 1948, ‘An Approach Toward a Rational Classification of Climates,’ Geophys. Rev. 38,55–94.

    Google Scholar 

  • U. S. Department of Agriculture: 1972, ‘Soil Conservation Service, National Engineering Handbook, Section 4. HYDROLOGY’ U. S. Govt. Printing Office, Washington, DC, 544 pp.

    Google Scholar 

  • Wang, J. R., and T. J. Schmugge: 1980, ‘An Empirical Model for the Complex Dielectric Permittivity of Soils as a Function of Water Content,’ IEEE Trans. Geosci. and Remote Sensing GE-18, 288–295.

    Article  Google Scholar 

  • Wang, J. R., J. C. Shiue, Ti. Schmugge, and E. T. Engman: 1989, ‘Mapping Soil Moisture With L-Band Radiometric Measurements,’ Remote Sens. Environ. 27, 305–312.

    Article  Google Scholar 

  • Welle, P. I., and T. J. Jackson: 1982, ‘Application of Landsat Data and Computer Data Bases for Runoff Curver Number Estimation,’ Am. Soc. Agric. Engr. Paper No. 82–2097,1982 Summer Mtg, Madison, Wisconsin, 14 pp.

    Google Scholar 

  • Wiesnet, D. R.: 1976, ‘Remote Sensing and Its Application to Hydrology,’ in J. C. Rodda (ed.), Facets of Hydrology, John Wiley & Sons, London, 368 pp.

    Google Scholar 

  • Wiesnet, D. R., and M. Matson: 1975, ‘Monthly Winter Snowline Variation in the Northern Hemisphere From Satellite Records,’ NOAA Tech. Memo NESS 74, National Environmental Satellite Service, Washington, DC, 21 pp.

    Google Scholar 

  • Wiesnet, D. R., D. F. McGinnis, and J. A. Pritchard: 1974, ‘Mapping of the 1973 Mississippi River Floods by the NOAA-2 Satellite, ’ Water Resour. Bull. 10, 1040–1049.

    Article  Google Scholar 

  • WMO: 1988, ‘Concept of the Global Energy and Water Cycle Experiment,’ World Meteor. Organ. WCR P-5, WMOITD 215.

    Google Scholar 

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Engman, E.T., Gurney, R.J. (1991). Recent Advances and Future Implications of Remote Sensing for Hydrologic Modeling. In: Bowles, D.S., O’Connell, P.E. (eds) Recent Advances in the Modeling of Hydrologic Systems. NATO ASI Series, vol 345. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-3480-4_21

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  • DOI: https://doi.org/10.1007/978-94-011-3480-4_21

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