The analysis of errors for field experiment based on POV-Ray

The experiment plays an important role in the remote sensing applications and theoretical studies. In this study, the image rendering software POV-Ray was used to investigate the errors in the process of near-surface remote sensing experiment, by analyzing the features of four components' fractions (sunlit leaves, shaded leaves, sunlit soil and shaded soil) of typical row plants. The study shows: the model of pointing the sensor toward the targets while moving along the track induces the lowest errors among the three commonly-adopted experimental modes to sample the directional information of the targets; the mode of rotating the sensor around the fixing point brings about fluctuations around the true values, due to the variations of the targets during the experiment; increasing the distance from the sensor to the targets can improve the precision; however, it is not the larger, the better.