To reduce irremovable radiometric distortion on images observed with remote sensing sensors, reflectance adjustment approach based on the positional relationship between soil line and full vegetation cover line in red reflectance (
R ) and near infrared reflectance (
NIR ) space and raNDVI (Reflectance-adjusted Normalized Difference Vegetation Index) were proposed. The raNDVI was subsequently compared its reflectance adjustment effect with other conventional vegetation indices, NDVI, SAVI and MSAVI by evaluating errors of each pixel value between two years in three different vegetation type regions. As a result of this experiment, it confirmed that the proposed approach properly corrected the ratio of
R to
NIR for unifying the vegetation index values in the preserved vegetation areas. It is also showed that this method had suitably changed the length and direction of the reflectance correction according to the positional gap between whole scatter plots and origin of
R,
NIR feature space on each image.
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