Scientific and Technical Aerospace Reports Volume 38 July 28, 2000

20000064539 California Univ., Inst. for Computational Earth System Science, Santa Barbara, CA USA
Improved Atmospheric Correction for AVIRIS Spectra from Inland Waters
Gastil, Mary, California Univ., USA; Melack, John M., California Univ., USA; Summaries of the Seventh JPL Airborne Earth
Science Workshop January 12-16, 1998; Dec. 19, 1998; Volume 1, pp. 141-148; In English; See also 20000064520
Contract(s)/Grant(s): NAS5-51713; NAGW-2602; NAGW-5185; No Copyright; Avail: CASI; A02, Hardcopy; A04, Microfiche
Remote sensing reflectance (Rrs) cannot be measured directly. Comparison of Rrs calculated from field measurements to Rrs
calculated from AVIRIS spectra and the atmospheric radiative transfer model modtran provides a measure of the accuracy of our
method. That and other comparisons are presented here as a validation of a method of retrieving Rrs from inland waters from AVI-
RIS radiance. The method of collecting field measurements for Rrs is described in Hamilton, 1993. Retrieval of Rrs from AVIRIS
using modtran was developed from Carder, 1993. AVIRIS radiance is reduced by the path radiance modeled by modtran and
divided by one-way transmission. Skylight, modeled by modtran, specularly reflected from the lake surface, is then subtracted
from this radiance, leaving only that radiance which has come from under water. This water-leaving radiance is then normalized
by the downwelling irradiance incident at the surface as modeled by modtran. Our improved retrieval of Rrs has allowed us to
fit a single curve to a set of 134 pairs of AVIRIS Rrs and measured chlorophyll gathered on eight experiments at Mono Lake. Previously,
spectra from different surveys varied more due to lingering atmospheric effects and/or radiometric calibration imprecision
than they varied due to chlorophyll.
Derived from text
Atmospheric Correction; Atmospheric Effects; Radiance; Remote Sensing; Inland Waters; Spectral Reflectance; Applications
Programs (Computers)
20000064540 NASA, Washington, DC USA
DOI Use of AVIRIS Data in Natural Resources Management: A Technology Transfer Project Status Report
Getter, James R., Geological Survey, USA; Wickland, Diane, NASA, USA; Summaries of the Seventh JPL Airborne Earth Science
Workshop January 12-16, 1998; Dec. 19, 1998; Volume 1, pp. 149-157; In English; See also 20000064520; No Copyright;
Avail: CASI; A02, Hardcopy; A04, Microfiche
A meeting was held in December 1996, attended by representatives from Department of the Interior (DOI) and National Aeronautical
and Space Administration (NASA) at the request of Department of the Interior Secretary, Bruce Babbitt and NASA,
Administrator Director Dan Goldin, to discuss the use of hyperspectral systems and related remote sensing technologies in
addressing environmental issues of environmental importance to the (DOI). It was determined that NASA/DOI Coordination be
established, comprised of representatives from each agency, designated to address the environmental issues and resulting technologies.
A steering committee was formed consisting of representatives from NASA Headquarters, NASA PI’s from University
California-Davis, University of Colorado-Boulder, University of New Hampshire and DOI Bureaus (Indian Affairs, Land Management,
Reclamation, National Park Service, and US Geological Survey).
Derived from text
Data Management; Earth Resources; Remote Sensing; Resources Management; Technology Transfer
20000064541 Colorado Univ., Center for the Study of Earth from Space, Boulder, CO USA
Using Ground Spectral Irradiance for Model Correction of AVIRIS Data
Goetz, Alexander F. H., Colorado Univ., USA; Heidebrecht, Kathleen B., Colorado Univ., USA; Kindel, Bruce, Colorado Univ.,
USA; Boardman, Joseph W., Analytical Imaging and Geophysics, LLC, USA; Summaries of the Seventh JPL Airborne Earth Science
Workshop January 12-16, 1998; Dec. 19, 1998; Volume 1, pp. 159-168; In English; See also 20000064520
Contract(s)/Grant(s): 95-B26; NAG5-4447; No Copyright; Avail: CASI; A02, Hardcopy; A04, Microfiche
Over the last decade a series of techniques has been developed to correct hyperspectral imaging sensor data to apparent surface
reflectance. The techniques range from the empirical line method that makes use of ground target measurements to model-based
methods such as ATREM that derive parameters from the data themselves to convert radiance to reflectance, and combinations
of the above. Here we describe a technique that combines ground measurements of spectral irradiance with existing radiative transfer
models to derive the model equivalent of an empirical line method correction without the need for uniform ground targets of
different reflectance.
Derived from text
Spectral Emission; Spectral Reflectance; Surface Properties; Mathematical Models; Irradiance
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