Interpretation of high-spectral-resolution remote-sensing reflectance

Zhongping Lee; Kendall L. Carder; Steven K. Hawes; Robert G. Steward; Thomas G. Peacock; Curtiss O. Davis

doi:10.1117/12.138864

22 December 1992 Interpretation of high-spectral-resolution remote-sensing reflectance

Zhongping Lee, Kendall L. Carder, Steven K. Hawes, Robert G. Steward, Thomas G. Peacock, Curtiss O. Davis

Proceedings Volume 1749, Optics of the Air-Sea Interface: Theory and Measurement; (1992) https://doi.org/10.1117/12.138864
Event: San Diego '92, 1992, San Diego, CA, United States

Abstract

Remote sensing reflectance is easier to interpret for the open ocean than for coastal regions since bottom reflectance and fluorescence from colored dissolved organic matter (CDOM) need not be considered. For estuarine or coastal waters, the reflectance is less easy to interpret because of the variable terrigenous CDOM, suspended sediments, and bottom reflectance, since these factors do not covary with the pigment concentration. To estimate the pigment concentration, the water-leaving radiance signal must be corrected for the effects of these non- covarying factors. A two-parameter model is presented to model remote sensing reflectance of the water-column, to which contributions due to CDOM fluorescence, water Raman scattering, and bottom reflectance have been added. The purpose of this research is to try to understand the separate contributions of the water-column, CDOM fluorescence, water Raman, and bottom reflectance for stations on the West Florida Shelf and Lake Tahoe. This model requires data with spectral resolution of 10 nm or better, consistent with that provided by AVIRIS and expected from HIRIS.

Citation Download Citation

Zhongping Lee, Kendall L. Carder, Steven K. Hawes, Robert G. Steward, Thomas G. Peacock, and Curtiss O. Davis "Interpretation of high-spectral-resolution remote-sensing reflectance", Proc. SPIE 1749, Optics of the Air-Sea Interface: Theory and Measurement, (22 December 1992); https://doi.org/10.1117/12.138864

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