300
J.C. Ritchie and ER. Schiebe
fresh water lakes and streams, estuaries, and oceans and to differentiate between
different water quality parameters. Research needs to focus on understanding the
relationship between water quality parameters and their effects on optical and thennal
properties of surface waters so that physically based models can be developed
(Jerome et al. 1996). Hyperspectral data from the new satellite platforms will allow
us to discriminate between water quality parameters and to develop a better understanding of light/water/substance interactions. Such information should allow us to
move away from empirical approaches now being used and develop algorithms that
will allow us to use the full resolution electromagnetic spectrum to monitor water
quality parameters. Research using derivative spectra and similar techniques to
analyze spectral data from estimating water quality properties from high spectral
resolution sensors has potential for helping us understand these interactions (Han and
Rundquist 1996; Malthus and Dekker 1995).
Future uses of remote sensing to monitor water quality will improve with the launch
of new satellite sensors. These sensors with higher spatial and spectral resolution
should improve our ability to measure understand changes in water quality, thus
allowing us to develop management plans to improve the quality of surface waters.
References
Amos, C.L., Toplis, B.J.: Discrimination of suspended particulate matter in the Bay of Fundy using
Nimbus 7 Coastal Zone Scanner. Can. J. Remote Sens. 11,85-92 (1985)
Bazzani, M., Cecchi, G.: Algae and muciIIagine monitoring by fluorescence lidar experiments in field.
EARSeL Advances in Remote Sensing 3,90-101 (1995)
Bolgrien, D.W., Granin, N.G., Levin, L.: Surface temperature dynamics of Lake Baikal observed from
AVHRR images. Photogrammetric Engr. Remote Sens. 61, 211-216 (1995)
Brown, L.R.: The global loss of topsoil. J. Soil Water Conserv. 39,162-165 (1984)
Carpenter, D.S., Carpenter, S.M.: Monitoring inland water quality using Landsat data. Remote Sens.
Environ. 13,345-352 (1983)
Choubey, V.K., Subramanian, v.: Estimation of suspended solids using Indian Remote Sensing
Satellite-IA data: a case study from central India Intemat. J. Remote Sens. 13, 1473-1486 (1992)
Corbley, K.: Remote sensing skies filling with satellite plans. EOM The Magazine for Geographic,
Mapping and Earth Information 5, 26-28 {I 996)
Curran, P.J., Dungan, J.L., Mac1er, B.A., Plummer, S.E.: The effect of red leaf pigment on the
relationship between red edge and chlorophyll concentration. Remote Sens. Environ. 35, 69-76
(1991)
Curran, P.J., Novo, E.M.M.: The relationship between suspended sediment concentration and remotely
sensed spectral radiance: A review. J. Coastal Res. 4, 351-368 (1988)
Dekker, A.G., Malthus, T.J., Hoogenboom, H.J.: The remote sensing of inland water quality. In:
Danson, F.M., Plummer, S.E. (Eds.) Advances in Remote Sensing. Chichester: John Wiley and
Sons (1995) pp. 123-142
Dekker, A.G., Malthus, T.J., Wijnen, M.W., Seyhan, E.: The effect of spectral bandwidth and
positioning on the spectral signature analysis on inland water. Remote Sens. Environ. 41, 211-225
(1992)
Dekker, A.G., Peters, S.W.M.: The use of the Thematic Mapper for the analysis of eutrophic lakes:
a case study in the Netherlands. Intemat. J. Remote Sens. 14,779-821 (1993)
Ferrier, G.: A field study of the variability in suspended sediment concentration-reflectance relationship. Intemat. J. Remote Sens. 16,2713-2720 (1995)
J.C. Ritchie and ER. Schiebe
fresh water lakes and streams, estuaries, and oceans and to differentiate between
different water quality parameters. Research needs to focus on understanding the
relationship between water quality parameters and their effects on optical and thennal
properties of surface waters so that physically based models can be developed
(Jerome et al. 1996). Hyperspectral data from the new satellite platforms will allow
us to discriminate between water quality parameters and to develop a better understanding of light/water/substance interactions. Such information should allow us to
move away from empirical approaches now being used and develop algorithms that
will allow us to use the full resolution electromagnetic spectrum to monitor water
quality parameters. Research using derivative spectra and similar techniques to
analyze spectral data from estimating water quality properties from high spectral
resolution sensors has potential for helping us understand these interactions (Han and
Rundquist 1996; Malthus and Dekker 1995).
Future uses of remote sensing to monitor water quality will improve with the launch
of new satellite sensors. These sensors with higher spatial and spectral resolution
should improve our ability to measure understand changes in water quality, thus
allowing us to develop management plans to improve the quality of surface waters.
References
Amos, C.L., Toplis, B.J.: Discrimination of suspended particulate matter in the Bay of Fundy using
Nimbus 7 Coastal Zone Scanner. Can. J. Remote Sens. 11,85-92 (1985)
Bazzani, M., Cecchi, G.: Algae and muciIIagine monitoring by fluorescence lidar experiments in field.
EARSeL Advances in Remote Sensing 3,90-101 (1995)
Bolgrien, D.W., Granin, N.G., Levin, L.: Surface temperature dynamics of Lake Baikal observed from
AVHRR images. Photogrammetric Engr. Remote Sens. 61, 211-216 (1995)
Brown, L.R.: The global loss of topsoil. J. Soil Water Conserv. 39,162-165 (1984)
Carpenter, D.S., Carpenter, S.M.: Monitoring inland water quality using Landsat data. Remote Sens.
Environ. 13,345-352 (1983)
Choubey, V.K., Subramanian, v.: Estimation of suspended solids using Indian Remote Sensing
Satellite-IA data: a case study from central India Intemat. J. Remote Sens. 13, 1473-1486 (1992)
Corbley, K.: Remote sensing skies filling with satellite plans. EOM The Magazine for Geographic,
Mapping and Earth Information 5, 26-28 {I 996)
Curran, P.J., Dungan, J.L., Mac1er, B.A., Plummer, S.E.: The effect of red leaf pigment on the
relationship between red edge and chlorophyll concentration. Remote Sens. Environ. 35, 69-76
(1991)
Curran, P.J., Novo, E.M.M.: The relationship between suspended sediment concentration and remotely
sensed spectral radiance: A review. J. Coastal Res. 4, 351-368 (1988)
Dekker, A.G., Malthus, T.J., Hoogenboom, H.J.: The remote sensing of inland water quality. In:
Danson, F.M., Plummer, S.E. (Eds.) Advances in Remote Sensing. Chichester: John Wiley and
Sons (1995) pp. 123-142
Dekker, A.G., Malthus, T.J., Wijnen, M.W., Seyhan, E.: The effect of spectral bandwidth and
positioning on the spectral signature analysis on inland water. Remote Sens. Environ. 41, 211-225
(1992)
Dekker, A.G., Peters, S.W.M.: The use of the Thematic Mapper for the analysis of eutrophic lakes:
a case study in the Netherlands. Intemat. J. Remote Sens. 14,779-821 (1993)
Ferrier, G.: A field study of the variability in suspended sediment concentration-reflectance relationship. Intemat. J. Remote Sens. 16,2713-2720 (1995)