9 November 2012 Effect of particle size on prediction of soil TN with remote sensing based on NIR spectroscopy
Author Affiliations +
Abstract
It is a feasible method to detect soil total nitrogen (TN) content with remote sensing based on NIR spectroscopy. However, the accuracy of soil TN model was affected seriously by soil particle size. The spectral scanning results showed that at the same soil TN content level, with the decrease of the soil particle size, the reflectance of soil samples was reduced and the trend was not linear relationship. At the short wavelength (760-1100 nm) wave bands, there were a little of differences; while at the long wavelength (1100-2500 nm) wave bands, there were great differences. Two methods were adopted to eliminate the effect of soil particle size. The first method was to establish TN model by the first order differential preconditioning method of the spectral data. The second method was to establish TN model with mixed calibration set of different particle size soil samples after data preprocessing. Through the combination of the two methods, The RC, RV, RMSEC, RMSEP and RPD of the model improved from 0.85, 0.31, 0.046, 0.132, 0.866 to 0.92, 0.86, 0.018, 0.091, 2.700 respectively. The results showed that the effect of soil particle size on prediction of soil TN can be eliminated effectively.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xiaofei An, Minzan Li, Lihua Zheng, Yumeng Liu, "Effect of particle size on prediction of soil TN with remote sensing based on NIR spectroscopy", Proc. SPIE 8527, Multispectral, Hyperspectral, and Ultraspectral Remote Sensing Technology, Techniques and Applications IV, 852710 (9 November 2012); doi: 10.1117/12.977349; https://doi.org/10.1117/12.977349
PROCEEDINGS
7 PAGES


SHARE
KEYWORDS
Particles

Soil science

Calibration

Reflectivity

Near infrared

Absorbance

Remote sensing

Back to Top