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Geographic Techniques and Recent Applications of Remote Sensing to Landscape-Water Quality Studies

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Abstract

This article overviews recent advances in studies of landscape-water quality relationships using remote sensing techniques. With the increasing feasibility of using remotely-sensed data, landscape-water quality studies can nowbe more easily performed on regional, multi-state scales. Thetraditional method of relating land use and land cover to waterquality has been extended to include landscape pattern and otherlandscape information derived from satellite data. Three itemsare focused on in this article: 1) the increasing recognition ofthe importance of larger-scale studies of regional water qualitythat require a landscape perspective; 2) the increasingimportance of remotely sensed data, such as the imagery-derivednormalized difference vegetation index (NDVI) and vegetationphenological metrics derived from time-series NDVI data; and 3) landscape pattern. In some studies, using landscape patternmetrics explained some of the variation in water quality notexplained by land use/cover. However, in some other studies, theNDVI metrics were even more highly correlated to certain waterquality parameters than either landscape pattern metrics or landuse/cover proportions. Although studies relating landscape pattern metrics to water quality have had mixed results, thisrecent body of work applying these landscape measures andsatellite-derived metrics to water quality analysis hasdemonstrated their potential usefulness in monitoring watershedconditions across large regions.

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References

  • Ackleson, S. and Klemas, V.: 1987, 'Remote sensing of submerged aquatic vegetation in lower Chesapeake Bay: a comparison of Landsat MSS to TM Imagery', Rem. Sens. Environ. 22, 235–248.

    Google Scholar 

  • Allan, J., Erickson, D. and Fay, J.: 1997, 'The influence of catchment land use on stream integrity across multiple scales', Fresh. Biol. 37, 149–161.

    Google Scholar 

  • Basnyat, P., Teeter, L., Flynn, K. and Lockaby, B.: 1999, 'Relationships between landscape characteristics and nonpoint source pollution inputs to coastal estuaries', Environ. Manage. 23(4), 539–549.

    Google Scholar 

  • Bolgrien, D., Granin, N. and Levin, L.: 1995, 'Surface temperature dynamics of Lake Baikal observed from AVHRR images', Photogramm. Eng. Rem. Sens. 61, 211–216.

    Google Scholar 

  • Bolstad, P. and Swank, W.: 1997, 'Cumulative impacts of landuse on water quality in a southern Appalachian watershed', J. Am. Water Resour. Assoc. 33(3), 519–533.

    Google Scholar 

  • Boulton, A.: 1999, 'An overview of river health assessment: philosophies, practice, problems and prognosis', Fresh. Biol. 41, 469–479.

    Google Scholar 

  • Box, E., Holben, B. and Kalb, V.: 1989, 'Accuracy of the AVHRR Vegetation Index as a predictor of biomass, primary productivity and net CO2 flux', Vegetatio 80, 71–89.

    Google Scholar 

  • Cain, D., Riitters, K. and Orvis, K.: 1997, 'A multi-scale analysis of landscape statistics', Landsc. Ecol. 12, 199–212.

    Google Scholar 

  • Cairns Jr., J. and Niederlehner, B.: 1996, 'Developing a field of landscape ecotoxicology', Ecol. Appl. 6(3), 790–796.

    Google Scholar 

  • Carpenter, S., Caraco, N., Correll, D., Howarth, R., Sharpley, A. and Smith, V.: 1998, 'Nonpoint pollution of surface waters with phosphorus and nitrogen', Ecol. Appl. 8(3), 559–568.

    Google Scholar 

  • EPA: 1994, 'Landscape Monitoring and Assessment Research Plan', EPA 620/R-94/009, Environmental Monitoring Systems Laboratory, Las Vegas, NV, 68 pp.

    Google Scholar 

  • Fairweather, P.: 1999, 'State of environment indicators of river health: exploring the metaphor', Fresh. Biol. 41, 211–220.

    Google Scholar 

  • GAO: 2000, 'Water Quality: Key EPA and State Decisions Limited by Inconsistent and Incomplete Data', U.S. General Accounting Office, GAO/RCED-00-54, Washington, D.C., 76 pp.

    Google Scholar 

  • Gesch, D., Verdin, K. and Greenlee, S.: 1999, 'New land surface digital elevation model covers the earth', EOS, Trans., Am. Geophys. Union 80(6), 69–70.

    Google Scholar 

  • Goodin, D., Han, L., Fraser, R., Rundquist, D., Stebbins, W. and Schalles, J.: 1993, 'Analysis of suspended solids in water using remotely sensed high resolution derivative spectra', Photogramm. Eng. Rem. Sens. 59, 505–510.

    Google Scholar 

  • Goward, S., Tucker, C. and Dye, D.: 1985, 'North American vegetation patterns observed with the NOAA-7 Advanced Very High Resolution Radiometer', Vegetatio 64, 3–14.

    Google Scholar 

  • Griffith, J.: 2000, 'Interrelationships among landscapes, NDVI, and stream water quality in the U.S. Central Plains', Ph.D. Dissertation, Department of Geography, University of Kansas, 222 pp.

  • Griffith, J.: 1998, 'Connecting ecological monitoring and ecological indicators: a review of the literature', J. Environ. Syst. 26(4), 325–363.

    Google Scholar 

  • Griffith, J., Martinko, E. and Price, K.: 2000, 'Analyzing the landscape structure of Kansas at three scales', Landsc. Urban Plan. 52(1), 45–61.

    Google Scholar 

  • Griffith, J., Martinko, E., Whistler, J. and Price, K.: 2002a, 'Relationships among landscape pattern, NDVI and stream water quality in the U.S. Central Plains', J. Environ. Qual. 31, 846–859.

    Google Scholar 

  • Griffith, J., Martinko, E., Whistler, J., and Price, K.: 2002b, 'An analysis of the interrelationships among landscapes, NDVI and stream conditions in the U.S. Central Plains', Ecol. Appl. (in press).

  • Gross, M. and Klemas, V.: 1986, 'The use of Airborne Imaging Spectrometer (AIS) data to differentiate marsh vegetation', Rem. Sens. Environ. 19, 97–103.

    Google Scholar 

  • Gustafson, E.: 1998, 'Quantifying landscape spatial pattern: what is the state-of-the-art?', Ecosystems 1, 143–156.

    Google Scholar 

  • Hall, K. and Schreier, H.: 1996, 'Urbanization and agricultural intensification in the lower Fraser River Valley: impacts on water use and quality', GeoJournal. 40, 135–146.

    Google Scholar 

  • Harding Jr., L., Itsweire, E. and Esaias, W.: 1995, 'Algorithm development for recovering chlorophyll concentrations in the Chesapeake Bay using aircraft remote sensing, 1989-1991', Photogramm. Eng. Rem. Sens. 61, 177–186.

    Google Scholar 

  • Harris, J. and Silveira, R.: 1999, 'Large-scale assessments of river health using an index of biotic integrity with low-wiversity fish communities', Fresh. Biol. 41, 235–252.

    Google Scholar 

  • He, C., Malcolm, S., Dahlberg, K. and Fu, B.: 2000, 'A conceptual framework for integrating hydrological and biological indicators into watershed management', Landsc. Urban Plan. 49, 25–34.

    Google Scholar 

  • Heggem, D., Edmonds, C, Neale, A., Bice, L. and Jones, K. B.: 2000, 'A landscape ecology assessment of the Tensas River Basin', Environ. Monit. Assess. 64, 41–54.

    Google Scholar 

  • Hem, J.: 1985, 'Study and Interpretation of the Chemical Characteristics of Natural Water', United States Geological Survey Water-Supply Paper 2254, Washington, DC, 263 pp.

  • Herlihy, A., Stoddard, J. and Johnson, C.: 1998, 'The relationship between stream chemistry and watershed land cover data in the mid-Atlantic region', Water, Air, and Soil Pollut. 105(1/2), 377–386.

    Google Scholar 

  • Hughes, R., Paulsen, S. and Stoddard, J.: 2000, 'EMAP-surface waters: a multi-assemblage, probability survey of ecological integrity in the U.S.A.', Hydrobiologia 422/423, 429–433.

    Google Scholar 

  • Hunsaker, C. and Levine, D.: 1995, 'Hierarchical approaches to the study of water quality in rivers', Bioscience 45(3), 193–203.

    Google Scholar 

  • Hunsaker, C., Levine, D., Timmins, S., Jackson, B. and O'Neill, R.: 1992, 'Landscape Characterization for Assessing Regional Water Quality', in D. McKenzie, D. Hyatt, and J. McDonald (eds), Ecological Indicators, Elsevier, Essex, England, pp. 997–1006.

    Google Scholar 

  • Hunsaker, C. and Carpenter, D.: 1990, 'Ecological Indicators for the Environmental Monitoring and Assessment Program', EPA 600/3-90/060, U.S. Environmental Protection Agency, Office of Research Development. Research, Triangle Park, NC.

    Google Scholar 

  • Jensen, J.: 1996, Introductory Digital Image Processing, Prentice Hall, Englewood Cliffs, NJ, 316 pp.

    Google Scholar 

  • Jensen, J., Hodgsen, M., Christensen, E., Mackey, H., Tinney, L. and Sharitz, R.: 1986, 'Remote sensing of inland wetlands: a multispectral approach', Rem. Sens. Environ. 26, 161–170.

    Google Scholar 

  • Jensen, J., Ramsay, E., Mackay, H., Christensen, E. and Sharitz, R.: 1987, 'Inland wetland change detection using aircraft MSS data', Photogramm. Eng. Rem. Sens. 53(5), 521–529.

    Google Scholar 

  • Jensen, S.: 1993, 'Applications of Hydrologic Information Automatically Extracted from Digital Elevation Models', in K. Beven and I. Moore (eds), Terrain Analysis and Distributed Modeling in Hydrology, John Wiley & Sons, Chichester, pp. 35–48.

    Google Scholar 

  • Johnson, L. and S. Gage.: 1997, 'Landscape approaches to the analysis of aquatic ecosystems', Fresh. Biol. 37, 113–132.

    Google Scholar 

  • Johnson, L., Richards, C., Host, G. and Arthur, J.: 1997, 'Landscape influences on water chemistry in midwestern stream ecosystems', Fresh. Biol. 37, 193–208.

    Google Scholar 

  • Jolly, I., Caitcheon, G., Donnely, T. and Hafner, S.: 1996, 'Physical and Chemical Indicators of Water Quality', in J. Walker and D. Reuter (eds), Indicators of Catchment Health, CSIRO Publishing, Melbourne, Australia, pp. 131–141.

    Google Scholar 

  • Jones, K. B., Heggem, D., Wade, T., Neale, A., Ebert, D., Nash, M., Mehaffey, M., Hermann, K., Selle, A., Augustine, S., Goodman, I., Pederson, J., Bolgrien, D., Viger, J., Chiang, D., Lin, C., Zhong, Y., Baker, J. and Van Remortel, R.: 2000, 'Assessing landscape condition relative to water resources in the western United States: a strategic approach', Environ. Monit. Assess. 64, 227–245.

    Google Scholar 

  • Jones, K. B., Riitters, K., Wickham, J., Tankersley Jr., R., O'Neill, R., Chaloud, D., Smith, E. and Neale, A.: 1997, 'An Ecological Assessment of the United States Mid-Atlantic Region: A Landscape Atlas', U.S. Environmental Protection Agency, EPA/600/R-97/130, Office of Research and Development, Washington, D.C., 105 pp.

    Google Scholar 

  • Jones, K. B., Walker, J., Riitters, K., Wickham, J. and Nicoll, C.: 1996, 'Indicators of Landscape Integrity', in J. Walker and D. Reuter (eds), Indicators of Catchment Health, CSIRO Publishing, Melbourne, Australia, pp. 155–168.

    Google Scholar 

  • Jupp, D., Kirk, J. and Harris, G.: 1994, 'Detection, identification and mapping of cyanobacteria: using remote sensing to measure the optical quality of turbid inland waters', Aust. J. Mar. Fresh. Res. 45, 801–828.

    Google Scholar 

  • Karr, J.: 1999, 'Defining and measuring river health', Fresh. Biol. 41, 221–234.

    Google Scholar 

  • Karr, J. and Schlosser, I.: 1978, 'Water resources and the land-water interface', Science 201, 229–234.

    Google Scholar 

  • Keeney, D. and DeLuca, T.: 1993, 'Des Moines river nitrate in relation to watershed agricultural practices: 1945 versus 1980s', J. Environ. Qual. 22, 267–272

    Google Scholar 

  • Kelly, J. and Harwell, M.: 1990, 'Indicators of ecosystem recovery', Environ. Manage. 14(5), 527–545.

    Google Scholar 

  • Kirk, J.: 1988, 'Optical water quality: what does it mean and how should we measure it?', J. Water Pollut. Control Fed. 60, 194–197.

    Google Scholar 

  • Kolpin, D.: 1997, 'Agricultural chemicals in groundwater of the midwestern United States: relations to land use', J. Environ. Qual. 26, 1025–1037.

    Google Scholar 

  • Lathrop, R. and Lillesand, T.: 1989, 'Monitoring water quality and river plume transport in Green Bay, Lake Michigan with SPOT-1 imagery', Photogramm. Eng. Rem. Sens. 51, 329–341.

    Google Scholar 

  • Lathrop, R. and Lillesand, T.: 1986, 'Use of thematic mapper data to assess water quality in Green Bay and Central Lake, Michigan', Photogramm. Eng. Rem. Sens. 52, 671–680.

    Google Scholar 

  • Lee, R.: 1999, 'Modeling Corn Yields in Iowa Using Time-series Analysis of AVHRR Data and Vegetation Phenological Metrics', Ph.D. Dissertation, Department of Geography, University of Kansas, 164 pp.

  • Liedtke, J., Roberts, A., and Luternauer, J.: 1995, 'Practical remote sensing of suspended sediment concentrations', Photogramm. Eng. Rem. Sens. 61, 167–176.

    Google Scholar 

  • Lillisand, T., Johnson, W., Devell, Lindstrom, O. and Meisner, D.: 1983, 'Use of Landsat data to predict the trophic state of Minnesota Lakes', Photogramm. Eng. Rem. Sens. 49, 219–229.

    Google Scholar 

  • Loague, K.: 1998, 'The challenge of predicting nonpoint source pollution', Environ. Sci. Technol. 32(5), 130A.

    Google Scholar 

  • Loveland, T., Merchant, J., Brown, J., Ohlen, D., Reed, B., Olson, P. and Hutchinson, T.: 1995, 'Seasonal land-cover regions of the United States', Ann. Assoc. Am. Geogr. 85(2), 339–355.

    Google Scholar 

  • Lowrance, R., Leonard, R. and Sheridan, J.: 1985, 'Managing riparian ecosystems to control nonpoint pollution', J. Soil Water Conserv. 40, 87–91.

    Google Scholar 

  • Malleswara, T., Rao, K, Kuma, A., Rao, R. and Deepshatula, B.: 1996, 'Digital terrain models from indian remote sensing satellite data from the overlap of two adjacent paths using digital photogrammetric techniques', Photogramm. Eng. Rem. Sens. 62, 726–731.

    Google Scholar 

  • Matson, P., Parton, J., Power, A. and Swift, M.: 1997, 'Agricultural intensification and ecosystem properties', Science 277, 504–509.

    Google Scholar 

  • McGarigal, K. and Marks, B.: 1995, 'FRAGSTATS: Spatial Pattern Analysis Program for Quantifying Landscape Structure', USDA Forest Service General Technical Report PNW-GTR-351, Pacific Northwest Research Station, Portland, OR, 122 pp.

    Google Scholar 

  • Messer, J., Linthurst, R. and Overton, W.: 1991, 'An EPA program for monitoring ecological status and trends', Environ. Monit. Assess. 17(1), 67–78.

    Google Scholar 

  • Moore, I., Grayson, R. and Ladson, A.: 1993, 'Digital Terrain Modelling: A Review of Hydrological, Geomorphological, and Biological Applications', in K. Beven and I. Moore (eds), Terrain Analysis and Distributed Modeling in Hydrology, John Wiley & Sons, Chichester, pp. 1–34.

    Google Scholar 

  • Moss, M.: 1999, 'Fostering Academic and Institutional Activities in Landscape Ecology', in J. Wiens and M. Moss (eds), Issues in Landscape Ecology, International Association for Landscape Ecology, Pioneer Press of Greely, Inc., Greely, Colorado, pp. 138–144.

    Google Scholar 

  • Munn, R.: 1988, 'The design of integrated monitoring systems to provide early indications of environmental/ecological changes', Environ. Monit. Assess. 11, 203–217.

    Google Scholar 

  • Omernik, J., Abernathy, A. and Male, L.: 1981, 'Stream nutrient levels and proximity of agricultural and forest land to streams: some relationships', J. Soil Water Conserv. 36, 227–231.

    Google Scholar 

  • Omernik, J.: 1976, 'The influence of land use on stream nutrient levels', EPA-600/3-88/037, 106 pp.

  • O'Neill, R., Hunsaker, C., Jones, K., Riitters, K., Wickham, J., Schwartz, P., Goodman, I., Jackson, B. and Baillargeon, W.: 1997, 'Monitoring environmental quality at the landscape scale', Bioscience 47(8), 513–519.

    Google Scholar 

  • O'Neill, R., Hunsaker, C., Timmins, T., Jackson, B., Jones, K., Riitters, K. and Wickham, J.: 1996, 'Scale problems in reporting landscape pattern at the regional scale', Landsc. Ecol. 113, 169–180.

    Google Scholar 

  • O'Neill, R., Krummel, J., Gardner, R., Sugihara, G., Jackson, B., DeAngelis, D., Milne, B., Zygmunt, B., Christensen, S., Dale, V. and Graham, R.: 1988, 'Indices of landscape pattern', Landsc. Ecol. 1, 153–162.

    Google Scholar 

  • Osborne, L. and Wiley, M.: 1988, 'Empirical relationships between land use/cover patterns and stream water quality in an agricultural catchment', J. Environ. Manage. 26, 9–27.

    Google Scholar 

  • Paruelo, J. and Lauenroth, W.: 1995, 'Regional patterns of normalized difference vegetation index in North American shrublands and grasslands', Ecology 76, 1888–1898.

    Google Scholar 

  • Peterjohn, W. and Corel, D.: 1984, 'Nutrient dynamics in an agricultural catchment: observations on the role of riparian forest', Ecology 65, 1466–1475.

    Google Scholar 

  • Polidori, L.: 1991, 'Digital Terrain Models from Radar Images: A Review', in Proceedings of the International Symposium on Radar and Lidars in Earth And Planetary Sciences, Cannes, France, September 1991, pp. 141–146.

  • Qi, Y. and Wu, J.: 1996, 'Effects of changing spatial resolution on the results of landscape pattern analysis using spatial autocorrelation indices', Landsc. Ecol. 11(1), 39–49.

    Google Scholar 

  • Rapport, D.: 1992, 'Evaluating ecosystem health', J. Aquat. Ecosyst. Health 1(1), 15–24.

    Google Scholar 

  • Reed, B., Brown, J., VanderZee, D., Loveland, T., Merchant, J. and Ohlen, D.: 1994, 'Measuring phenological variability from satellite imagery', J. Veg. Sci. 5, 703–714.

    Google Scholar 

  • Richards, C., Johnson, L. and Host, G.: 1996, 'Landscape-scale influences on stream habitat and biota', Can. J. Fish. Aquat. Sci. 53(1), 295–311.

    Google Scholar 

  • Risser, P., Karr, J. and Forman, R.: 1984, 'Landscape Ecology: Directions and Approaches', Special Publication #2, Illinois Natural History Survey.

  • Roth, N. E., Allan, J. D. and Ericson, D. E.: 1996, 'Landscape influences on stream biotic integrity assessed at multiple spatial scales', Landsc. Ecol. 11(3), 141–156.

    Google Scholar 

  • Ruiz-Azuara, P.: 1995, 'Multitemporal analysis of 'simultaneous' Landsat Imagery (MSS and TM) for monitoring primary production in a small tropical coastal lagoon', Photogramm. Eng. Rem. Sens. 61, 187–198.

    Google Scholar 

  • Rundquist, B., Harrington, J. and Goodin, D.: 2000, 'Mesoscale satellite bioclimatology', Prof. Geogr. 52(2), 331–344.

    Google Scholar 

  • Rundquist, D., Han, L., Schalles, J. and Peake, J.: 1996, 'Remote measurement of algal chlorophyll in surface waters: the case for the first derivative of reflectance near 690 nm', Photogramm. Eng. Rem. Sens. 62, 195–200.

    Google Scholar 

  • Samson, S.: 1993, 'Two indices to characterize temporal patterns in the spectral response of vegetation', Photogramm. Eng. Rem. Sens. 59(4), 511–517.

    Google Scholar 

  • Schlosser, I.: 1991, 'Stream fish ecology: a landscape perspective', Bioscience 41(10), 704–712.

    Google Scholar 

  • Schlosser, I. and Karr, J.: 1981, 'Water quality in agricultural catchments: impact of riparian vegetation during base flow', Water Resour. Bull. 17, 233–240.

    Google Scholar 

  • Senay, G. B. and Elliott, R.L.: 2000, 'Combining AVHRR-NDVI and land use data to describe temporal and spatial dynamics of vegetation', For. Ecol. Manage. 128, 83–91.

    Google Scholar 

  • Sharpe, J.: 1994, 'Assessing the Relationship Between Thematic Mapper-Derived Landscape Structure and Pollutant Estimates From a Nonpoint Source Pollution Model', M.A. Thesis, Department of Geography, University of Nebraska, 79 pp.

  • Sharpley, A. and Meyer, M.: 1994, 'Minimizing agricultural nonpoint-source impacts: a symposium overview', J. Environ. Qual. 23(1), 1–13.

    Google Scholar 

  • Spanner, M., Pierce, L., Running, S. and Peterson, D.: 1990, 'The seasonality of AVHRR data of temperate coniferous forests: relationship with leaf area index', Rem. Sens. Environ. 33, 97–112.

    Google Scholar 

  • Stoms, D. and Estes, J.: 1993, 'A remote sensing research agenda for mapping and monitoring biodiversity', Int. J. Rem. Sens. 14(10), 1839–1860.

    Google Scholar 

  • Stoms, D. and Hargrove, W.: 2000, 'Potential NDVI as a baseline for monitoring ecosystem functioning', Int. J. Rem. Sens. 21(2), 401–407.

    Google Scholar 

  • Swanson, F., Krantz, T., Caine, N. and Woodmansee, R.: 1988, 'Landform effects on ecosystem patterns and processes', Bioscience 38, 92–98.

    Google Scholar 

  • Tieszen, L., Reed., B., Bliss, N., Wylie, B. and Dejong, D.: 1997, 'NDVI C3 and C4 production, and distributions in Great Plains grassland cover classes', Ecol. Appl. 7, 59–78

    Google Scholar 

  • Townsend, C. and Riley, R.: 1999, 'Assessment of river health: accounting for perturbation pathways in physical and ecological space', Fresh. Biol. 41, 393–405.

    Google Scholar 

  • Townsend, C., Crowl., T., Arbuckle, C. and Scarsbrook, M.: 1997, 'The relationship between land use and physicochemistry, food resources, and macroinvertebrate communities in tributaries of the Taieri River, New Zealand: a hierarchically scaled approach', Fresh. Biol. 37, 177–192.

    Google Scholar 

  • Tucker, C., Vanpraet, C., Boerwinkle, E. and Gaston, G.: 1983, 'Satellite remote sensing of total dry matter production in the Senegalese Sahel', Rem. Sens. Environ. 13, 461–474.

    Google Scholar 

  • Turner, M.: 1989, 'Landscape ecology: the effect of pattern on process', Ann. Rev. Ecol. Syst. 20, 171–197.

    Google Scholar 

  • Turner, M.: 1990, 'Spatial and temporal analysis of landscape patterns', Landsc. Ecol. 4(1), 21–30.

    Google Scholar 

  • Turner, M. and Carpenter, S.: 1998, 'At last: a journal devoted to ecosystems', Ecosystems 1(1), 1–4.

    Google Scholar 

  • Urban, D., O'Neill, R. and Shugart, H.: 1987, 'Landscape ecology', Bioscience 37, 119–127.

    Google Scholar 

  • U.S.G.S. (United States Geological Survey): 1999, National Elevation Dataset Fact Sheet 148-99. Washington, DC. http://mac.usgs.gov/mac/isb/pubs/factsheets/fs14899.html

  • Wear, D., Turner, M. and Naiman, R.: 1998, 'Land cover along an urban-rural gradient: implications for water quality', Ecol. Appl. 8(3), 619–630.

    Google Scholar 

  • Wells, H.: 1992, 'Pollution prevention', Pollut. Eng. 24, 23–25.

    Google Scholar 

  • Whistler, J.: 1996, 'A Phenological Approach To Land Cover Characterization Using Landsat MSS Data For Analysis Of Nonpoint Source Pollution', KARS Report No. 96-1, Kansas Applied Remote Sensing Program, University of Kansas, Lawrence, KS, 51 pp.

    Google Scholar 

  • Whittier, T. and Paulsen, S.: 1992, 'The surface water component of the environmental monitoring and assessment program: an overview', J. Aquat. Ecosyst. Health 2(1), 1–12.

    Google Scholar 

  • Wichert, G. and Rapport, D.: 1998, 'Fish community structure as a measure of degradation and rehabilitation of riparian systems in an agricultural drainage basin', Environ. Manage. 22(3), 425–443.

    Google Scholar 

  • Wickham, J., Jones, K. B., Riitters, K., O'Neill, R., Tankersley, R., Smith, R., Neale, A. and Chaloud, D.: 1999, 'An integrated environmental assessment of the US Mid-Atlantic Region', Environ. Manage. 24, 553–560.

    Google Scholar 

  • Wiley, M., Kohler, S. and Seelbach, P.: 1997, 'Reconciling landscape and local views of aquatic communities: lessons from Michigan trout streams', Fresh. Biol. 37, 133–148.

    Google Scholar 

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  1. Jerry A. Griffith

    Present address: U.S. Geological Survey, EROS Data Center, Sioux Falls, SD, 57198, U.S.A.

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  1. Department of Geography, University of Southern Mississippi, Hattiesburg, MS, U.S.A

    Jerry A. Griffith

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Griffith, J.A. Geographic Techniques and Recent Applications of Remote Sensing to Landscape-Water Quality Studies. Water, Air, & Soil Pollution 138, 181–197 (2002). https://doi.org/10.1023/A:1015546915924

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