Abstract
Since tidal marshes and estuaries cover large areas of the world's coasts and exhibit a very high net primary productivity, they offer a most important food source for an ever increasing world population. The food web of numerous estuaries and coastal waters is based on the primary productivity of coastal marshes that constitute centers of solar energy fixation and an important link in the mineral cycles. The fixed carbon and minerals enterthe water primarily as detritus where a complex food web makes them accessible to commercially important fish and benthic communities. With the launch of LANDSAT, NOAA-2, and Skylab, relatively high resolution spacecraft data became available for mapping and inventorying tidal marshes and their productivity on a global scale. Upwelling regions that attract large fish populations as well as other coastal water properties relating to the presence of finfish, Crustacea, and shellfish could be identified and observed. Using multispectral analysis techniques, classification accuracies greater than 80 percent have been obtained for most marsh plant species, and greater than 90 percent for key types such asSpartina alterniflora, which is the primary producer in large tide marshes of the coastal eastern USA. The capacity of remote sensors on spacecraft such as NOAA-2, LANDSAT, and Skylab to assess coastal food resources on a global scale is discussed from the point of view of resolution, classification accuracy, and cost effectiveness.
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Literature cited
Anderson, R. R., L. Alsid, and V. Carter. 1975. Comparative utility of Landsat-1 and Skylab data for coastal wetland mapping and ecological studies. Pages 469–478in Proc. of NASA Earth Resources Survey Symp., Vol. III, Summary Reports. NASA, Houston, Texas.
Anderson, R. R., and F. J. Wobber. 1973. Wetlands mapping in New Jersey. Photogrammetric Engineering 39(4):353–358.
Chapman, V. J. 1975. Mangrove vegetation. Cramer, Lehre. Bremerhaven. 425 pp.
Clarke, G. L., G. C. Ewing, and C. J. Lorenzen. 1969. Remote measurement of ocean color as an index of biological productivity. Pages 991–1002in Proc. of 6th International Symp. on Remote Sensing of the Environment. University of Michigan, Ann Arbor.
Clarke, G. L., G. C. Ewing, and C. J. Lorenzen. 1970. Spectra of backscattered light from the sea obtained from aircraft as a measure of chlorophyll concentration. Science 167:1119–1121.
Daiber, F. C., and G. F. Somers. 1976. Halophytic plants: an undeveloped resource. University of Delaware Sea Grant Position Paper. Newark, DE. 2 pp.
Egan, W. G., and M. E. Hair. 1973. Automated delineation of wetlands in photographic remote sensing. Pages 2231–2251in Proc. of 7th International Symp. on Remote Sensing of Environment. University of Michigan, Ann Arbor.
Erb, R. B. 1974. The ERTS-1 investigation (ER-600): ERTS-1 coastal/estuarine analysis. NASA Report TMX-58118. Houston, Texas. 258 pp.
Fairbridge, R. W. 1966. The encyclopedia of oceanography. Van Nostrand Reinhold Co., New York. 1021 pp.
Kemmerer, A. J. 1976. An application of color remote sensing to fisheries.In: Summary Report of The Ocean Color Workshop. NOAA-AMOL. Miami, Florida.
Klemas, V. 1976. Remote sensing of wetlands vegetation and estuarine water properties. Pages 381–403in, ed. Estuarine processes, Vol. 2. Academic Press, New York.
Klemas, V., D. Bartlett, and R. Rogers 1975. Coastal zone classification from satellite imagery. Photogrammetric Engineering and Remote Sensing 41(3):499–512.
Klemas, V., D. Bartlett, and R. Rogers. 1976. Skylab and ERTS-1 investigations of coastal land-use and water properties in Delaware Bay. Pages 351–371in M. I. Kent, E. Stuhlinger, and S-T. Wu, eds. Scientific investigations on the Skylab satellite (Progress in Astronautics and Aeronautics 48).
Kolipinski, M. C., A. L. Higer, N. S. Thomson, and F. J. Thomson. 1969. Inventory of hydrobiological features using automatically processed multispectral data. Page 79in Proc. of 6th International Symp. on Remote Sensing of Environment. University of Michigan, Ann Arbor.
La Violette, P. E. 1974. A satellite-aircraft thermal study of the upwelled waters off Spanish Sahara. J. Physical Oceanography 4:676–684.
McEwen, R. B., W. J. Kosco, and V. Carter. 1976. Coastal wetland mapping. Photogrammetric Engineering and Remote Sensing 42(2):221–232.
Maul, G. A. 1974. Applications of ERTS data to oceanography and marine environment. Pages 335–347in Proc. of COSPAR Symp. on Earth Survey Problems. Akademie-Verlag, Berlin.
Odum, E. P. 1971. Fundamentals of ecology. W. B. Saunders Co., Philadelphia. 574 pp.
Proc. of the Symp. on Remote Sensing in Marine Biology and Fishery Resources. 1971. Texas A & M University Publ. TAMU-SG-71-106. College Station, Texas. 299 pp.
Reimold, R. J., J. L. Gallagher, and D. E. Thomson. 1973. Remote sensing of tidal marsh. Photogrammetric Engineering 39(5):477–489.
Russell-Hunter, W. D. 1970. Aquatic productivity. MacMillan Co., London. 306 pp.
Savastano, K. J., and T. D. Leming. 1975. The feasibility of utilizing remotely sensed data to assess and monitor oceanic gamefish.In: Proceeding of the NASA Earth Resources Survey Symposium. Vol. I-D. Houston, Texas.
Szekielda, K. -H., D. J. Suszkowski, and P. S. Tabor. 1975. Skylab investigation of the upwelling off the northwest coast of Africa. Pages 2005–2022in Proc. of the NASA Earth Resources Survey Symp. NASA, Houston, Texas.
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Klemas, V., Bartlett, D.S. Remote sensing of coastal food resources. Environmental Management 2, 119–126 (1978). https://doi.org/10.1007/BF01866238
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DOI: https://doi.org/10.1007/BF01866238