Visible and near infrared reflectance spectroscopy for field-scale assessment of Stagnosols properties

Plant, Soil and Environment

Ivana Šestak¹ 

关键词: nitrogen fertilization;    remote sensing;    non-destructive method;    climatic condition;    soil texture;    linear calibration;   

DOI  :  10.17221/220/2018-PSE

学科分类：农业科学（综合）

来源: Czech Academy of Agricultural Sciences

【 摘 要 】

Spectral data contain information on soil organic and mineral composition, which can be useful for soil quality monitoring. The objective of research was to evaluate hyperspectral visible and near infrared reflectance (VNIR) spectroscopy for field-scale prediction of soil properties and assessment of factors affecting soil spectra. Two hundred soil samples taken from the experiment field (soil depth: 30 cm; sampling grid: 15 × 15 m) were scanned using portable spectroradiometer (350–1050 nm) to identify spectral differences of soil treated with ten different rates of mineral nitrogen (N) fertilizer (0–300 kg N/ha). Principal component analysis revealed distinction between higher- and lower-N level treatments conditioned by differences in soil pH, texture and soil organic matter (SOM) composition. Partial least square regression resulted in very strong correlation and low root mean square error (RMSE) between predicted and measured values for the calibration (C) and validation (V) dataset, respectively (SOM, %: R _C² = 0.75 and R _V² = 0.74; RMSE _C = 0.334 and RMSE _V = 0.346; soil pH: R _C² = 0.78 and R _V² = 0.62; RMSE _C = 0.448 and RMSE _V = 0.591). Results indicated that hyperspectral VNIR spectroscopy is an efficient method for measurement of soil functional attributes within precision farming framework.

【 授权许可】

CC BY