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19 September 2016 Soil isoline equation for the range of visible to shortwave infrared in a context of hyperspectral data analysis
Kenta Taniguchi; Kenta Obata; Masayuki Matsuoka; Hiroki Yoshioka
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Proceedings Volume 9975, Remote Sensing and Modeling of Ecosystems for Sustainability XIII; 99750D (2016) https://doi.org/10.1117/12.2236833
Event: SPIE Optical Engineering + Applications, 2016, San Diego, California, United States
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.
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Kenta Taniguchi, Kenta Obata, Masayuki Matsuoka, and Hiroki Yoshioka "Soil isoline equation for the range of visible to shortwave infrared in a context of hyperspectral data analysis", Proc. SPIE 9975, Remote Sensing and Modeling of Ecosystems for Sustainability XIII, 99750D (19 September 2016); https://doi.org/10.1117/12.2236833
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