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Analytical Relationship between Two-Band Spectral Vegetation Indices Measured at Multiple Sensors on a Parametric Representation of Soil Isoline Equations

1
Tamano Consultants Co. Ltd., 2-17-14 Higashizakura, Higashi, Nagoya, Aichi 461-0005, Japan
2
Department of Information Science and Technology, Aichi Prefectural University, Nagakute, Aichi 480-1198, Japan
*
Author to whom correspondence should be addressed.
Remote Sens. 2019, 11(13), 1620; https://doi.org/10.3390/rs11131620
Received: 29 May 2019 / Revised: 27 June 2019 / Accepted: 5 July 2019 / Published: 8 July 2019
(This article belongs to the Section Biogeosciences Remote Sensing)
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Abstract

Differences between the wavelength band specifications of distinct sensors introduce systematic differences into the values of a spectral vegetation index (VI). Such relative errors must be minimized algorithmically after data acquisition, based on a relationship between the measurements. This study introduces a technique for deriving the analytical relationship between the VIs from two sensors. The derivation proceeds using a parametric form of the soil isoline equations, which relate the reflectances of two different wavelengths. First, the derivation steps are explained conceptually. Next, the conceptual steps are cast in a practical derivation by assuming a general form of the two-band VI. Finally, the derived expressions are demonstrated numerically using a coupled leaf and canopy radiative transfer model. The results confirm that the derived expression reduced the original differences between the VI values obtained from the two sensors, indicating the validity of the derived expressions. The derived expressions and numerical results suggested that the relationship between the VIs measured at different wavelengths varied with the soil reflectance spectrum beneath the vegetation canopy. These results indicate that caution is required when retrieving intersensor VI relationships over regions consisting of soil surfaces having distinctive spectra. View Full-Text
Keywords: spectral vegetation index; multiple sensors; intersensor; VI relationship; soil isoline equation spectral vegetation index; multiple sensors; intersensor; VI relationship; soil isoline equation
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Taniguchi, K.; Obata, K.; Yoshioka, H. Analytical Relationship between Two-Band Spectral Vegetation Indices Measured at Multiple Sensors on a Parametric Representation of Soil Isoline Equations. Remote Sens. 2019, 11, 1620.

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