Spaceborne imaging spectrometer for environmental assessment of the coastal ocean

Curtiss O. Davis

doi:10.1117/12.255193

21 October 1996 Spaceborne imaging spectrometer for environmental assessment of the coastal ocean

Curtiss O. Davis

Proceedings Volume 2817, Infrared Spaceborne Remote Sensing IV; (1996) https://doi.org/10.1117/12.255193
Event: SPIE's 1996 International Symposium on Optical Science, Engineering, and Instrumentation, 1996, Denver, CO, United States

Abstract

With half of the world's population living within 50 km of the coastal ocean the coast and adjacent land areas are heavily used for recreation, and for frequently conflicting uses, such as, fisheries, oil and gas production, disposal of wastes, transportation and naval operations. Coastal ecosystems are sensitive, highly productive systems which are being heavily impacted by human activities, but which are not adequately sampled by any present or planned spaceborne remote sensing system. To remedy that situation we propose building a coastal ocean imaging spectrometer (COIS) with adequate spectral and spatial resolution and high signal to noise to provide long term monitoring and real-time characterization of the coastal environment. COIS would provide a snapshot of the effects of human activities and natural processes, including runoff, tides, currents and storms, on the distributions of phytoplankton, suspended sediments, colored dissolved organic matter, including sediment resuspension and changes in bathymetry. COIS will also be an excellent tool to assess changing land use practices and the health of corps and natural vegetation on the adjacent land areas. This paper reviews the scientific rationale for such an instrument, and the recent scientific and engineering innovations that make it possible to build a small inexpensive spaceborne instrument to meet these requirements.

Citation Download Citation

Curtiss O. Davis "Spaceborne imaging spectrometer for environmental assessment of the coastal ocean", Proc. SPIE 2817, Infrared Spaceborne Remote Sensing IV, (21 October 1996); https://doi.org/10.1117/12.255193

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