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Proceedings Paper

Soil isoline equation for the range of visible to shortwave infrared in a context of hyperspectral data analysis
Author(s): Kenta Taniguchi; Kenta Obata; Masayuki Matsuoka; Hiroki Yoshioka
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Paper Abstract

Information on the relationships between pairs of wavelength bands is useful when analyzing multispectral sensor data. The soil isoline is one such relationship that is obtained under a constant soil spectrum. However, numerical determination of the soil isoline in the red and NIR reflectance subspace is problematic because of singularities encountered during polynomial fitting. In our previous work, this difficulty was effectively overcome by rotating the original red-NIR subspace by an angle identical to a soil line slope. In the context of hyperspectral data analysis, the applicability of this approach should be investigated thoroughly for band combinations other than red-NIR. The objective of the present study was to expand the applicable range of band combinations to 400–2500 nm by conducting a set of numerical simulations of radiative transfer. Soil isolines were determined numerically by varying soil reflectance and biophysical parameters. The results demonstrated that, as shown previously for the red-NIR band combination, singularities can be avoided for most band combinations through use of the rotation approach. However, for some combinations, especially those involving the shortwave infrared range, the rotation approach gave rise to a further numerical singularity. The present findings thus indicate that special caution should be exercised in the numerical determination of soil isoline equations when one of the chosen bands is in the shortwave infrared region.

Paper Details

Date Published: 19 September 2016
PDF: 6 pages
Proc. SPIE 9975, Remote Sensing and Modeling of Ecosystems for Sustainability XIII, 99750D (19 September 2016); doi: 10.1117/12.2236833
Show Author Affiliations
Kenta Taniguchi, Aichi Prefectural Univ. (Japan)
Kenta Obata, National Institute of Advanced Industrial Science and Technology (Japan)
Masayuki Matsuoka, Kochi Univ. (Japan)
Hiroki Yoshioka, Aichi Prefectural Univ. (Japan)

Published in SPIE Proceedings Vol. 9975:
Remote Sensing and Modeling of Ecosystems for Sustainability XIII
Wei Gao; Ni-Bin Chang, Editor(s)

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