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Sensors 2017, 17(3), 450; doi:10.3390/s17030450

Improved Accuracy of the Asymmetric Second-Order Vegetation Isoline Equation over the RED–NIR Reflectance Space

1
Department of Information Science and Technology, Aichi Prefectural University, 1522-3 Ibara, Nagakute, Aichi 480-1198, Japan
2
National Institute of Advanced Industrial Science and Technology, The Institute of Geology and Geoinformation, Central 7, 1-1-1, Higashi, Tsukuba, Ibaraki 305-8567, Japan
*
Author to whom correspondence should be addressed.
Academic Editor: Ayman F. Habib
Received: 10 January 2017 / Revised: 16 February 2017 / Accepted: 22 February 2017 / Published: 24 February 2017
(This article belongs to the Section Remote Sensors)
View Full-Text   |   Download PDF [931 KB, uploaded 24 February 2017]   |  

Abstract

The relationship between two reflectances of different bands is often encountered in cross calibration and parameter retrievals from remotely-sensed data. The asymmetric-order vegetation isoline is one such relationship, derived previously, where truncation error was reduced from the first-order approximated isoline by including a second-order term. This study introduces a technique for optimizing the magnitude of the second-order term and further improving the isoline equation’s accuracy while maintaining the simplicity of the derived formulation. A single constant factor was introduced into the formulation to adjust the second-order term. This factor was optimized by simulating canopy radiative transfer. Numerical experiments revealed that the errors in the optimized asymmetric isoline were reduced in magnitude to nearly 1/25 of the errors obtained from the first-order vegetation isoline equation, and to nearly one-fifth of the error obtained from the non-optimized asymmetric isoline equation. The errors in the optimized asymmetric isoline were compared with the magnitudes of the signal-to-noise ratio (SNR) estimates reported for four specific sensors aboard four Earth observation satellites. These results indicated that the error in the asymmetric isoline could be reduced to the level of the SNR by adjusting a single factor. View Full-Text
Keywords: inter-band relationship; vegetation isoline; cross calibration; asymmetric; leaf area index (LAI); canopy RT model; inversion inter-band relationship; vegetation isoline; cross calibration; asymmetric; leaf area index (LAI); canopy RT model; inversion
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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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Miura, M.; Obata, K.; Taniguchi, K.; Yoshioka, H. Improved Accuracy of the Asymmetric Second-Order Vegetation Isoline Equation over the RED–NIR Reflectance Space. Sensors 2017, 17, 450.

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