Abstract
Recently, the importance of integration of remote sensing and geographic information system (GIS) to study hydrologic processes has been realized by water-resources workers. However, the interface between remotely sensed data and GIS is still weak and many problems must be solved before it becomes widely available. In the meantime, the public use of satellite data to manage water resources is still in its infancy, and more application techniques are urgently in need of development. Thus this chapter is separated into two major parts. The first part is to introduce general information about remote sensing systems, GIS, and the global positioning system (GPS). The second part is to exemplify successful applications of the integration of remote sensing and GIS in hydrologic studies such as land use/land cover classification, precipitation, soil moisture, evapotranspiration, water extent, groundwater, water quality, and runoff.
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References
Allord, G. J., and F. L. Scarpace. (1981) ‘Improving streamflow estimates through use of Landsat.’ In Satellite Hydrology, M. Deutsch, D. R. Wiesnet, A. Rango, eds., Am. Water Resour. Assoc., pp. 284–291.
August, P., J. Michaud, C. Labash, and C. Smith. (1994). ‘GPS for environmental applications: actimate soil-water content in pasture areas:.curacy and precision of locational data.’ Photogram. Engrg. Remote Sens., 60 (1): 41–45.
Barker, G. R. (1988). ‘Remote sensing: the unheraled component of geographic information systems.’ Photogram. Engrg. Remote Sens., 54: 195–199.
Barrett, E. C., and D. W. Martin. (1981). The Use of Satellite Data in Rainfall Monitoring. Academic Press, London, 340 pp.
Bench, R. H., and M. B. Smith. (1985). ‘Landsat and micro-GIS for watershed modeling.’ Hydraul- ics and Hydrology in the Small Computer Age, Am. Soc. Civil Eng. ( ASCE ), pp 668–673.
Beverley, A. M., and P. G. Penton. (1989). ‘ELAS science and technology laboratory applications software.’ Report No. 183, NASA, John C. Stennis Space Center, Sci. and Technol. Lab., Mississippi.
Blanchard, B. J., and R. W. Learner. (1973). ‘Spatial reflectance of water containing suspended sediment.’ In Remote Sensing and Water Resources Management, Am. Water Resour. Assoc., pp. 339–348.
Bowers, S. A., and R. J. Hanks. (1965). ‘Reflection of radiant energy from soils.’ Soil Sci. 100 (2): 130–138.
Bury, A. S. (1989). ‘Raster to vector conversion: a methodology.’ Proc. GIS/LIS 1989, Am. Cong. Surv. Map., pp 9–11.
Carroll, T. R., and K. G. Vadnais. (1980). ‘Operational airborne measurement of snow water equivalent using natural terrestrial gamma radiation.’ Proc. 48th Annual Western Snow Conf., Laramie, WY, pp. 97–106.
Cheng, K. S., and S. F. Shih. (1992). ‘Rainfall area identification using GOES satellite data.’ J. Irrig. and Drain. Engrg., ASCE, 118 (1): 179–190.
Curran, P. J. (1985). Principles of Remote Sensing. Longman Inc., New York, NY.
Doviak, R. J, (1983). ‘A survey of radar rain measurement techniques.’ J. Climate, Appl. Meteorol., 22: 832–849.
Dozier, J. (1984). ‘Snow reflectance from Landsat-4 thematic mapper.’ IEEE Trans. Geosci. and Remote Sens., GE-22(3): 323–328.
Engman, E. T., and R. J. Gurney. (1991). Remote Sensing in Hydrology. Chapman and Hall, London, 225 pp.
ERDAS. (1991). Earth Resources Data Analysis System. Field Guide, ERDAS Inc., Atlanta, GA.
Ferris, J. S., and R. G. Congalton. (1989). ‘Satellite and geographic information system estimates of Colorado River basin snowpack.’ Photogram. Engrg Remote Sens., 55 (11): 1629–1635.
Gervin, J. C., and S.F. Shih. (1981). ‘Improvements in lake volume predictions using Landsat data.’ In Satellite Hydrology, M. Deutsch, D. R. Wiesnet, and A. Rango, eds., Am. Water Resour. Assoc., pp. 479–484.
Gilman, C. S. (1964). ‘Rainfall’. In Handbook of Applied Hydrology, V. T. Chow ed., McGraw-Hill Book Co., pp. (9–1)-(9–68).
Goodenough, D. G. (1988). ‘Thematic mapper and SPOT integration with a geographic information system.’ Photogram. Engrg. Remote Sens., 54 (2): 167–176.
Griffith, C. G. (1987). ‘Comparisons of gauge and satellite rain estimates for the central United States during August 1979.’ J. Geophys., 92 (D8): 9551–9566.
Gurney, R. J., and P. J. Camillo. (1984). ‘Modeling daily evapotranspiration using remotely sensed data.’ J. Hydrol. 69: 305–324.
Hall, D. K., and J. Martinec. (1985). Remote Sensing of Ice and Snow. Chapman and Hall, London, 189 pp.
Haralick, R. M., S. Wang, L. G. Shapiro, and J. B. Campbell. (1985). ‘Extraction of drainage networks by using a consistent labeling technique.’ Remote Sens. Environ., 18: 163–175.
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.’ Remote Sens. Environ., 6: 315326.
Higer, A. L., A. E. Coker, E. H. Cordes. (1974). ‘Water management models in Florida using ERTS-1 data.’ Proc. 3rd Earth Resour. Technology Satellite -1 Sym., NASA sp-351-v1, pp. 1071–1078.
Idso, S. B., R. J. Reginato, D. C. Reicosky, and J. L. Hatfield. (1981). ‘Determining soil-induced plant water potential depressions in alfalfa by means of infrared thermometry.’ Agron. J., 73: 826–830.
Jadkowski, M. A., and M. Ehlers. (1989). ‘GIS analysis of SPOT image data.’ Proc. GIS/LIS 1989, Am. Cong. Surv. Map., pp 65–74.
Jakubauskas, M. E. (1989). ‘Utilizing a geographic information system for a vegetation change detection.’ Proc. GIS/LIS 1989, Am. Cong. Surv. Map., pp 56–64.
Jampoler, S. M., and B. N. Haack. (1989). ‘Use of GIS to identify land use change: Kathmandu, Nepal.’ Proc. GIS/LIS 1989, Am. Cong. Surv. Map., pp 75–84.
Johnston, C. A., and J. Bonde. (1989). ‘Quantitative analysis of ecotones using geographic information system.’ Photogram. Engrg. Remote Sens., 55: 1643–1647.
Jordan, J. D. and S. F. Shih. (1988a). ‘Use of remote sensing in abandoned well assessment.’ Trans. Am. Soc. Agric. Eng., 31 (5): 1416–1422.
Jordan, J. D. and S. F. Shih. (1988b). ‘Ground-truthing of remotely sensed abandoned wells.’ Soil Crop Sci. Soc. Fla. Proc., 47: 88–91.
Jordan, J. D. and S. F. Shih. (1990). ‘Photogrammetric estimation of artesian well flow rate.’ Soil Crop Sci. Soc. Fla. Proc., 49: 24–26.
Jordan, J. D. and S. F. Shih. (1991). ‘Satellite and aerial photographic techniques for use in artesian well assessment.’ Proc. Intl. Conf. on Computer Application in Water Resources, Taipei, Taiwan, R.O.C., 2: 991–998.
Jordan, J. D., and S. F Shih (1993). ‘Comparison of thermal-based soil moisture estimation techniques.’ Soil Crop Sci. Soc. Fla. Proc., 52: 83–90.
Khorram, S. (1985). ‘Development of water quality models applicable throughout the entire San Francisco Bay and delta.’ Photogram. Engrg. Remote Sens., 51: 53–62.
Khorram, S., G. P. Catts, J. E. Cloein, and A. W. Knight. (1987). ‘Modeling of estuarine chlorophyll a from an airborne scanner.’ IEEE Trans. Geosci. Remote Sens. GE-25: 662–669.
Klazura, G. E., and D. A. Imy. (1993). ‘A description of the initial set of analysis products available from the NEXRAD WSR-88D system’. Bull. Amer. Meteorol. Soc., 74 (7): 1293–1311.
Kolipinstii, M. E., and A. L. Higer. (1969). ‘Inventory of hydrobiological features using automatically processed multispectral data.’ In Sym. on Remote Sens. Environ., Ann Arbor, MI, pp. 79–95.
Lam, N.S.N., P. J. Grim, and F. Jones. (1987). ‘Data integration in geographic information systems: an experiment’. Proc. GIS/LIS 1987; Am. Cong. Surv. Map, pp 53–62.
Lillesand, T. M., and R. W. Kiefer. (1987). Remote Sensing and Image Interpretation. 2nd ed., John Wiley and Sons, Inc., NY.
Lillesand, T. M., M. D. MacKenzie, J.R.V. Castle, and J. J. Magnuson. (1989). ‘Incorporating remote sensing and GIS technology in long-term and large-scale ecological research.’ Proc. GIS/LIS 1989, Am. Cong. Surv. Map., pp 228–241.
Lo, C. P. (1986). Applied Remote Sensing. Longman Inc., New York, NY.
Marble, D. F, and D. J. Peuquet. (1983). ‘Geographic information systems and remote sensing.’ Manual of Remote Sensing, R. N. Colwell ed., Am. Soc. Photogram., Falls Church, VA, pp 923958.
Miller, A., and J. C. Thompson. (1975). Elements of Meteorology. Charles E. Merrill Publishing Company, Columbus, Ohio, 362 pp.
Myhre, B. E., and S. E Shih. (1990a). ‘Using infrared thermometry to estimate soil-water content for a sandy soil.’ Trans. Am. Soc. Agr. Eng., 33 (5): 1479–1486.
Myhre, B. E., and S. F Shih. (1990b). ‘Use of geographic information system for a well monitoring program.’ Soil Crop Sci. Soc. Fla. Proc., 49: 18–20.
Myhre, B. E., and S. F. Shih. (1991). ‘Using geographic information system in well permitting program.’ Soil Crop Sci. Soc. Ha. Proc., 50: 102–105.
Orville, R. E., R. W. Henderson, and L. F Bosart. (1983). ‘An east coast lightning detection network.’ Bull. Am. Meteorol. Soc., 64: 1029–1037.
Orville, R. E. (1991). ‘Lightning ground flash density in the contiguous United States-1989 annual summary.’ Bull. Am. Meteorol. Soc., 119: 573–577.
Oslin, A. J., R. A. Westsmith, and D. S. Morgan. (1988). ‘STREAMS: a basin and soil erosion model using CADD remote sensing and GIS to facilitate watershed management.’ In Modeling Agricultural, Forest, and Rangeland Hydrol., K. L. Campbell ed., Am. Soc. Agric. Eng., pp. 470477.
Pelletier, R. E. (1985). ‘Evaluating non-point pollution using remotely sensed data in soil erosion models.’ J. Soil Water Conserv., 40: 332–335.
Pesnell, G. L., and Brown, R. T. (1977). ‘The major plant communities of Lake Okeechobee, Fla., and their associated inundation characteristics as determined by gradient analysis.’ South Fla. Water Manag. Dist., West Palm Beach, Ha., Technical Publication 77–1: 68 pp.
Piepgrass, M. V., E. P. Kridder, and C. B. Moore. (1982). ‘Lightning and surface rainfall during Florida thunderstorms.’ J. Geophy. Res., 87 (C13), 11193–11201.
Price, J. C. (1982). ‘Estimation of regional scale evapotranspiration through analysis of satellite thermal-infrared data.’ IEEE Trans. Geosci. Remote Sens., GE-20(3): 287–292.
Ragan, R. M., and Rogers, R. H. (1978). ‘Use of Landsat satellite remote sensing for regional environmental planning and management.’ X V Convention Pan Am. Federal Engrg. Soc., Santiago, Chile.
Ragan, R. M., and T. J. Jackson. (1980). ‘Runoff synthesis using Landsat and SCS model.’ J. Hydraul. Div., ASCE, 106 (HY5): 667–678.
Rango, A., A. Feldman, T. S. George, III, and R. M. Ragan. (1983). ‘Effective use of Landsat data in hydrologic models.’ Water Resour. Bull., 19: 165–174.
Rector, M. R. (1982). ‘Remote sensing and water resources management: a California example.’ In Remote Sensing for Resource Manag., C. J. Johannsen and J. L. Sanders, eds., Soil Conserv. Soc. Am., pp. 255–263.
Rogers, J. W., and S. E. Shih. (1990). ‘Land use classification in agricultural water usage permitting program via Landsat data.’ Applied Engrg. in Agric., 6(1):54–58. Sandholt, I. and H. S. Anderson. (1993). ’Derivation of actual evapotranspiration in the Senegalese Sahel using NOAAAVHRR data during the 1987 growing season.’ Remote Sens. Environ., 46: 164–172.
Schecter, R. N. (1976). ‘Resource inventory using landsat data for area wide water quality planning.’ Proc. Sym. on Machine Processing of Remotely Sensed Data, Lab. for Applications of Remote Sens., Purdue Univ., West Lafayette, IN.
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.
Scofield, R. A. (1987). ‘The NESDIS operational convective precipitation estimation technique.’ Monthly Weather Review, 115: 1773–1792.
Shih, S. E. and J. C. Gervin. (1980). ‘Ridge regression technique applied to Landsat data investigation of water quality in Lake Okeechobee.’ Water Resour. Bull., 16 (5): 790–796.
Shih, S. F. (1982a). ‘Using landsat data to estimate reservoir storage’. Proc. 8th Intl. Sym. on Machine Processing of Remotely Sensed Data. Lab. for Applications of Remote Sens., Purdue Univ., West Lafayette, IN, pp. 321–326.
Shih, S.F. (1982b). ‘Use of Landsat data to improve water storage information in Conservation Area, Florida.’ In Applied Modeling in Catchment Hydrology, V. P. Singh ed., Water Resour. Publication, Littleton, CO, pp. 511–518.
Shih, S. F., and E. Y. Chen. (1984). ‘On the use of GOES thermal data to study effects of land uses on diurnal temperature fluctuation’. J. Climate and Appl. Meteorol., 23 (3): 426–433.
Shih, S. F. (1985). ‘Comparison of ELAS classifications and density slicing Landsat data for water-surface area assessment’. In Hydrologic Applications of Space Technology (Publication No. 160), A. I. Johnson, ed., Intl. Assoc. Hydrological Sci., pp. 91–97.
Shih, S. E, J. A. Doolittle, D. L. Myhre, and G. W. Schellentrager. (1986). ‘Using radar for groundwater investigation’. J. Irrig. and Drain. Engrg. ASCE, 112 (2): 110–118.
Shih, S. F. (1988a). ‘Using lightning for rainfall estimation in Florida’. Trans. Am. Soc. Agric. Engrg., 31 (3): 750–755.
Shih, S. F. (1988b). ‘Satellite data and geographical information system for land-use classification’. J. Irrig. and Drain. Engrg., ASCE, 114 (3): 505–519.
Shih, S. F. (1989). ‘Geographical information system and GOES image enhancement in rainfall estimation’. Proc. GIS/LIS 1989, Am. Cong. Surv. Map., pp 468–477.
Shih, S.F. (1990). ‘Satellite data and geographic information system for rainfall estimation’. J. Irrig. and Drain. Engrg., ASCE, 116 (3): 319–331.
Shih, S. F., D. S. Harrison, A. G. Smajstrla, and F. S. Zazueta. (1991). ‘Infrared thermometry to estimate soil-water content in pasture areas’. Soil Crop Sci. Soc. Fla. Proc., 50: 158–162.
Shih, S. F. (1992). ‘Calibration parameters for radar rainfall estimation’. Soil Crop Sci. Soc. Fla. Proc., 51: 23–29.
Shih, S. E, and E. T. Engman. (1992). ‘Applications of remote sensing to hydrology’. Proc. of Water forum’s 92, ASCE, pp. 535–540.
Shih, S. F., and J. D. Jordan. (1992). ‘Landsat mid-infrared data and GIS in regional surface soil moisture assessment’. Water Resour. Bull., 28 (4): 713–719.
Shih, S. F., and J. D. Jordan. (1993). ‘Use of Landsat thermal infrared data and GIS in soil moisture assessment’. J. Irrig. and Drain. Engrg., ASCE, 119 (5): 868–879.
Shih, S. F., and D. L. Myhre. (1994). ‘Ground-penetrating radar for salt-affected soil assessment’. J. Irrig. and Drain. Engrg., ASCE, 120 (2): 322–333.
Soer, G.J.R. (1980). ‘Estimation of regional evapotranspiration and soil moisture conditions using remotely sensed crop surface temperature’. Remote Sens. Environ., 9: 27–45.
Spencer, R. W., H. M. Goodman, and R. E. Wood. (1988). ‘Precipitation retrieval over land and ocean with SSM/I, Part 1: identification and characteristics of the scattering signal’. J. Atmos. Oceanic Tech., 2: 254–263.
Still, D. A., and S. F. Shih. (1985). ‘Using Landsat data to classify land use for assessing the basin-wide runoff index’. Water Resour. Bull., 21: 931–940.
Still, D. A., and S. F. Shih. (1991). ‘Using Landsat data and geographic information system for wetland assessment in water quality management’. Soil Crop Sci. Soc. Fla. Proc., 50: 98–102.
Stuebe, M. M., and D. M. Johnston. (1990). ‘Runoff volume estimation using GIS techniques.’ Water Resour. Bull., 26 (4): 611–620.
Sucksdorff, Y., and C. Ottle. (1990). ‘Applications of satellite remote sensing to estimate areal evapotranspiration over a watershed’. J. Hydrol., 121: 321–333.
Tan, C. H., and S. F. Shih. (1991a). ‘The Potential for application of lightning data to rainfall estimation’. Proc. Intl. Conf. on Computer Application in Water Resources, Taipei, Taiwan, R.O.C., 2: 999–1005.
Tan, C. H., and S. F. Shih. (1993a). ‘Use of geographic information system to manage lightning data in Florida’. Soil Crop Sci. Soc. Fla. Proc., 52: 65–69.
Tan, Y. R. and S.F. Shih. (1988). ‘A geographic information system for study of agricultural land-use changes in St. Lucie County, Florida’. Soil Crop Sci. Soc. Fla. Proc., 47: 102–105.
Tan, Y. R. and S. F. Shih. (1990). ‘Current agricultural landuse for abandoned well assessment.’ Soil Crop Sci. Soc. Fla. Proc., 49: 20–24.
Tan, Y. R. and S. F. Shih. (1991b). ‘Geographic Information System for differentiating unused wells’. Soil Crop Sci. Soc. Fla. Proc., 50: 110–116.
Tan, Y. R., and S. F Shih. (1993b). ‘Effect of citrus canopy on the spectral characteristics of SPOT satellite images’. Soil Crop Sci. Soc. Fla. Proc., 52: 61–64.
Walsh, S. J., J. W. Cooper, I. E. VonEssen, and K. R. Gallager. (1990). ‘Image enhancement of Land-sat thematic mapper data and GIS data integration for evaluation of resource characteristics’. Photogram. Engrg. Remote Sens., 56 (8): 1135–1141.
Weiss, M., and E. A. Smith. (1987). ‘Precipitation discrimination from satellite infrared temperatures over the CCOPE mesonet region’. J. Climate and Appl. Meteorol., 26 (6): 687–697.
Wilkening III, H. A. (1989). ‘Landsat data processing and GIS for regional water resources management in Northeast Florida’. Proc. GIS/LIS 1989, Am. Cong. Surv. Map., pp 110–119.
Williams, D. L., C. L. Watthall, and S. N. Groward. (1984). ‘Collection of in sites forecast canopy spectra using a helicopter: A discussion of methodology and preliminary results’. Proc. Sym. on Machine Processing of Remotely Sensed Data, Lab. for Application of Remote Sens. Purdue Univ., West Lafayette, IN, pp. 94–105.
Williams, D. L. (1994). ‘Letter explaining NASA’s position on Landsat 7 program’. NASA Goddard Space Flight Center, Greenbelt, Maryland.
Williams, L. E. and S. E Shih. (1989). ‘Landsat data and GIS for land use change assessment in the Florida Everglades’. Proc. GIS/LIS 1989, Am. Cong. Surv. Map., 1: 305–313.
Wischmeier, W. H., and D. D. Smith. (1978). ‘Predicting rainfall erosion losses’. Agricultural Handbook No. 537, U.S. Dept. Agri. Sci. and Education Administration, Washington, DC.
Xiao, Q., H. Raafat, and D. Gauthier. (1989). ‘A temporal database structure for remotely sensed image data management within GIS.’ Proc. GIS/LIS 1989, Am. Cong. Surv. Map., pp 116–122.
Xin, J. N., and S. F. Shih. (1991). ‘NOAA polar-orbiting satellite APT data in lake evaporation estimation.’ J. Irrig. and Drain. Engrg., ASCE, 117 (4): 547–557.
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Shih, S.F. (1996). Integration of Remote Sensing and GIS for Hydrologic Studies. In: Singh, V.P., Fiorentino, M. (eds) Geographical Information Systems in Hydrology. Water Science and Technology Library, vol 26. Springer, Dordrecht. https://doi.org/10.1007/978-94-015-8745-7_2
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