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Proceedings Paper

The Characterization Of Sources Of Illumination In A Ponderosa Pine (Pines Ponderosa) Forest Community Using The Portable Instantaneous Display And Analysis Spectrometer
Author(s): Brian Curtiss; Susan L Ustin
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Paper Abstract

To accurately model the mixed signatures present in remotely sensed datasets, both the reflectance spectra of the components present and the characteristics of the various types of illumination must he known. The Portable Instantaneous Display and Analysis Spectrometer (PIDAS) was used to characterize the different sources contributing to the total illumination in a Ponderosa Pine (Pinks ponderosa) forest con'imunity. While direct illumination from the sun contributes the major portion of the total, the amount of illumination from diffuse skylight and from light reflected off the surrounding forest canopy are shown to be significant. A method was developed that allowed the determination of the visible and near infrared radiometric characteristics of each of these sources of illumination relative to the total illumination radiance. For each of the materials present, this data was used to compute apparent reflectance spectra, (the reflectance of that material with ambient illumination relative to a standard fully illuminated by the sun), for the range of illumination conditions encountered. Measured reflectance spectra of materials illuminated by a mixture of all of the sources can then be modeled as a mixture of the apparent spectra associated with each of the individual illumination sources. This technique, when used to model high spectral resolution. datasets such as Airborne Visible and Infrared Imaging Spectrometer (AVIRIS), can be used to extract not only information about the abundances of the materials present in the image, but also information about the architecture or geometric relationships of these materials.

Paper Details

Date Published: 12 October 1988
PDF: 8 pages
Proc. SPIE 0924, Recent Advances in Sensors, Radiometry, and Data Processing for Remote Sensing, (12 October 1988); doi: 10.1117/12.945695
Show Author Affiliations
Brian Curtiss, University of Colorado (United States)
Susan L Ustin, University of California (United States)

Published in SPIE Proceedings Vol. 0924:
Recent Advances in Sensors, Radiometry, and Data Processing for Remote Sensing
Philip N. Slater, Editor(s)

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