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Proceedings Paper

Initial assessment of ATRS-2 data for retrieval of forest characteristics
Author(s): Fraser M. Gemmell; Andrew K. Millington; Jane Wellens; Barry K. Wyatt; France Gerard
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Paper Abstract

Initial assessment of the utility of ATSR-2 1 km data for retrieval of forest characteristics was made. Principal component analysis was applied to an image of a tropical forest site in order to assess the dimensionality of the 14 ATSR-2 features, which include 4 spectral and 3 thermal bands, obtained at 2 view angles. The combined dataset had a 5-dimensional structure. The optimal combination of spectral features for discriminating forest characteristics in this site were the four ATSR-2 nadir channels, plus either the forward red or green channel, which gave a 4-dimensional data structure. Sensitivity analysis of a forest BRDF model was employed to investigate the relationships between nadir and forward samples of the ATSR-2. Simulated relationships between nadir and forward samples, for stands of varying fractional ground cover and crown LAI, indicate weak non-linear relations for all spectral bands. BRDF simulation results indicate that some additional information, not contained in the nadir data, is contained in the forward data. A stochastic scene simulation, coupled with the BRDF model, was used to approximate the data structure of an ATSR-2 image. Results are interpreted in terms of a number of important factors operating in an ATSR-2 scene that may either reduce or enhance BRDF effects in the measured radiance, and thus affect the success of inverse BRDF algorithms. These factors include sensor spatial resolution, scales of variation of surface cover features, and differences in the sampling characteristics between nadir and forward scans. Further testing of ATSR-2 data, including the utility of its spectral bandwidths and its multi-temporal capability, is required for a variety of different forested sites.

Paper Details

Date Published: 24 November 1995
PDF: 11 pages
Proc. SPIE 2585, Remote Sensing for Agriculture, Forestry, and Natural Resources, (24 November 1995); doi: 10.1117/12.227203
Show Author Affiliations
Fraser M. Gemmell, Univ. of Leicester (United Kingdom)
Andrew K. Millington, Univ. of Leicester (United Kingdom)
Jane Wellens, Univ. of Leicester (United Kingdom)
Barry K. Wyatt, Institute of Terrestrial Ecology (United Kingdom)
France Gerard, Institute of Terrestrial Ecology (United Kingdom)


Published in SPIE Proceedings Vol. 2585:
Remote Sensing for Agriculture, Forestry, and Natural Resources
Edwin T. Engman; Gerard Guyot; Carlo M. Marino, Editor(s)

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