
Proceedings Paper
Calibration of satellite data in reflectance using the 5S algorithmFormat | Member Price | Non-Member Price |
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Paper Abstract
Most applications of spectral geology require image data to be expressed in the form of reflectance values in order to allow comparisons with field or laboratory measurements. Two problems must be solved in order to pass from the digital number (DN) provided by the satellite operator to a reflectance value: (1) the calibration factors of the DN into a physical value as luminance/radiance at satellite level (Ls), and (2) the computation of a reflectance at ground level (Rg) from this Ls. The calibration in luminance is straightforward as a gain and, sometimes, an offset factor is provided by the operator. The computation of the Rg of a target can be performed if the conditions of illumination and travel of the radiation through the atmosphere are known as well as the nature of the target and its environment. The 5S algorithm of simulation of the solar illumination calculates the radiation at the ground and at satellite level for a given target and environment, through an atmospheric model adapted to the circumstances of image acquisition. Given an environment identical or different from the target, the input variables of the algorithm (nature of the sensor, illumination conditions, type of atmosphere, type and thickness of aerosols) can be adapted for scaling Ls according to parametric Rg values. This relation is approximately linear. A scale of Rg values can thus be matched with a scale of Rs values, which can in turn be converted to DN values, or inversely.
Paper Details
Date Published: 21 December 1994
PDF: 8 pages
Proc. SPIE 2318, Recent Advances in Remote Sensing and Hyperspectral Remote Sensing, (21 December 1994); doi: 10.1117/12.197238
Published in SPIE Proceedings Vol. 2318:
Recent Advances in Remote Sensing and Hyperspectral Remote Sensing
Pat S. Chavez Jr.; Carlo M. Marino; Robert A. Schowengerdt, Editor(s)
PDF: 8 pages
Proc. SPIE 2318, Recent Advances in Remote Sensing and Hyperspectral Remote Sensing, (21 December 1994); doi: 10.1117/12.197238
Show Author Affiliations
Johan Lavreau, Musee Royal de l'Afrique Central (Belgium)
Published in SPIE Proceedings Vol. 2318:
Recent Advances in Remote Sensing and Hyperspectral Remote Sensing
Pat S. Chavez Jr.; Carlo M. Marino; Robert A. Schowengerdt, Editor(s)
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