Remote Sens. 2010, 2(2), 545-561; doi:10.3390/rs2020545
Article

Soil Line Influences on Two-Band Vegetation Indices and Vegetation Isolines: A Numerical Study

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Received: 16 December 2009; in revised form: 20 January 2010 / Accepted: 2 February 2010 / Published: 12 February 2010
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.
Abstract: Influences of soil line variations on two-band vegetation indices (VIs) and their vegetation isolines in red and near-infrared (NIR) reflectance space are investigated based on recently derived relationships between the relative variations of VIs with variations of the soil line parameters in the accompanying paper by Yoshioka et al. [1]. The soil line influences are first demonstrated numerically in terms of variations of vegetation isolines and VI values along with the isolines. A hypothetical case is then analyzed by assuming the discrepancies between the general and regional soil lines for a Southern Brazil area reported elsewhere. The results indicate the validity of our analytical approach for the evaluation of soil line influences and the applicability for adjustment of VI errors using external data sources of soil reflectance spectra.
Keywords: spectral vegetation index; soil noise; soil line; vegetation isoline
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MDPI and ACS Style

Yoshioka, H.; Miura, T.; Demattê, J.A.M.; Batchily, K.; Huete, A.R. Soil Line Influences on Two-Band Vegetation Indices and Vegetation Isolines: A Numerical Study. Remote Sens. 2010, 2, 545-561.

AMA Style

Yoshioka H, Miura T, Demattê JAM, Batchily K, Huete AR. Soil Line Influences on Two-Band Vegetation Indices and Vegetation Isolines: A Numerical Study. Remote Sensing. 2010; 2(2):545-561.

Chicago/Turabian Style

Yoshioka, Hiroki; Miura, Tomoaki; Demattê, José A. M.; Batchily, Karim; Huete, Alfredo R. 2010. "Soil Line Influences on Two-Band Vegetation Indices and Vegetation Isolines: A Numerical Study." Remote Sens. 2, no. 2: 545-561.

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