Determination of the factors governing soil erodibility using hyperspectral visible and near-infrared reflectance spectroscopy

作者：Guoqiang Wang, Qingqing Fang, Yanguo Teng, Jingshan Yu · 发表于：International Journal of Applied Earth Observation and Geoinformation · 年份：2016 · DOI：10.1016/j.jag.2016.08.006 · 被引用次数：32 · 研究领域：Soil Geostatistics and Mapping、Soil erosion and sediment transport、Remote Sensing in Agriculture

Soil erodibility, which is difficult to estimate and upscaling, was determined in this study using multiple spectral models of soil properties (soil organic matter (SOM), water-stable aggregates (WSA) > 0.25 mm, the geometric mean radius (D g )). Herein, the soil erodibility indicators were calculated, and soil properties were quantitatively analyzed based on laboratory simulation experiments involving two selected contrasting soils. In addition, continuous wavelet transformation was applied to the reflectance spectra (350–2500 nm) of 65 soil samples from the study area. To build the relationship, the soil properties that control erodibility were identified prior to the spectral analysis. In this study, the SOM, D g and WSA >0.25 mm were selected to represent the most significant soil properties controlling erodibility and describe the erodibility indicator based on a logarithmic regression model as a function of SOM or WSA > 0.25 mm. Five, six and three wavelet features were observed to calibrate the estimated soil properties model, and the best performance was obtained with a combination feature regression model for SOM (R 2 = 0.86, p < 0.01), D g (R 2 = 0.79, p < 0.01) and WSA >0.25 mm (R 2 = 0.61, p < 0.01), respectively. One part of the wavelet features captured amplitude variations in the broad shape of the reflectance spectra, and another part captured variations in the shape and depth of the soil dry substances. The wavelet features for the validated dataset used to p...