DOI: 10.1016/j.jag.2016.08.006
Scopus记录号: 2-s2.0-85003819845
论文题名: Determination of the factors governing soil erodibility using hyperspectral visible and near-infrared reflectance spectroscopy
作者: Wang G ; , Fang Q ; , Teng Y ; , Yu J
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2016
卷: 53 起始页码: 48
结束页码: 63
语种: 英语
英文关键词: Hyperspectral reflectance
; Soil erodibility
; Soil properties
; Spectroscopy
Scopus关键词: erodibility
; regression analysis
; soil aggregate
; soil erosion
; soil organic matter
; soil property
; spectroscopy
; wavelet analysis
英文摘要: 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 (Dg)). 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, Dg 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 (R2 = 0.86, p < 0.01), Dg (R2 = 0.79, p < 0.01) and WSA >0.25 mm (R2 = 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 predict the SOM, WSA >0.25 mm and Dg were not significantly different compared with the calibrated dataset. The synthesized spectral models of soil properties, and the formation of a new equation for soil erodibility transformed from the spectral models of soil properties are presented in this study. These results show that a spectral analytical approach can be applied to complex datasets and provide new insights into emerging dynamic variation with erodibility estimation. © 2016 The Author(s) Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/80132
Appears in Collections: 气候变化事实与影响
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作者单位: College of Water Sciences, Beijing Normal University, Beijing, China
Recommended Citation:
Wang G,, Fang Q,, Teng Y,et al. Determination of the factors governing soil erodibility using hyperspectral visible and near-infrared reflectance spectroscopy[J]. International Journal of Applied Earth Observation and Geoinformation,2016-01-01,53