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Proceedings Paper

Scaling effect of fraction of vegetation cover retrieved by algorithms based on linear mixture model
Author(s): Kenta Obata; Munenori Miura; Hiroki Yoshioka
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Paper Abstract

Differences in spatial resolution among sensors have been a source of error among satellite data products, known as a scaling effect. This study investigates the mechanism of the scaling effect on fraction of vegetation cover retrieved by a linear mixture model which employs NDVI as one of the constraints. The scaling effect is induced by the differences in texture, and the differences between the true endmember spectra and the endmember spectra assumed during retrievals. A mechanism of the scaling effect was analyzed by focusing on the monotonic behavior of spatially averaged FVC as a function of spatial resolution. The number of endmember is limited into two to proceed the investigation analytically. Although the spatially-averaged NDVI varies monotonically along with spatial resolution, the corresponding FVC values does not always vary monotonically. The conditions under which the averaged FVC varies monotonically for a certain sequence of spatial resolutions, were derived analytically. The increasing and decreasing trend of monotonic behavior can be predicted from the true and assumed endmember spectra of vegetation and non-vegetation classes regardless the distributions of the vegetation class within a fixed area. The results imply that the scaling effect on FVC is more complicated than that on NDVI, since, unlike NDVI, FVC becomes non-monotonic under a certain condition determined by the true and assumed endmember spectra.

Paper Details

Date Published: 12 August 2010
PDF: 9 pages
Proc. SPIE 7809, Remote Sensing and Modeling of Ecosystems for Sustainability VII, 780905 (12 August 2010); doi: 10.1117/12.860440
Show Author Affiliations
Kenta Obata, Aichi Prefectural Univ. (Japan)
Munenori Miura, Aichi Prefectural Univ. (Japan)
Hiroki Yoshioka, Aichi Prefectural Univ. (Japan)


Published in SPIE Proceedings Vol. 7809:
Remote Sensing and Modeling of Ecosystems for Sustainability VII
Wei Gao; Thomas J. Jackson; Jinnian Wang, Editor(s)

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