Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1016/j.still.2021.105225 |
Minimising the effect of moisture on soil property prediction accuracy using external parameter orthogonalization | |
Mirzaei, Saham; Boloorani, Ali Darvishi; Bahrami, Hossein Ali; Alavipanah, Seyed Kazem; Mousivand, Alijafar; Mouazen, Abdul Mounem | |
通讯作者 | Boloorani, AD (corresponding author), Univ Tehran, Fac Geog, Dept Remote Sensing & GIS, Tehran, Iran. |
来源期刊 | SOIL & TILLAGE RESEARCH
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ISSN | 0167-1987 |
EISSN | 1879-3444 |
出版年 | 2022 |
卷号 | 215 |
英文摘要 | Moisture is one of the most important factors affecting soil reflectance spectra. However, provisional and dynamic behavior of soil moisture (SM) in salty soils reduce the capability of field spectrometry in the estimation of soil properties. This study aims minimising the effect of SM on the accuracy of visible and near-infrared (VNIR) spectra estimation of clay, calcium carbonate (CaCO3), and organic carbon (OC) content in semi-arid soils by adopting External parameter orthogonalization (EPO). Spectral reflectance of disturbed soil samples was measured for seven moisture contents (i.e. air dried, 6%, 12%, 18%, 24%, 30%, and 36%) and five levels of electerical conductivity (EC) (i.e. < 1, 4, 8, 12 and 16 dS/m). The EPO algorithm was customized for four textural classes. The performances of EPO algorithm was evaluated through partial least squares-backpropagation neural network (PLS-BPNN). The optimum number of components for the EPO matrix was determined to be four. Results showed that geometric parameters (area, depth, and width) of diagnostic absorption features (AF) in 550 nm, 2200 nm, and 2340 nm were affected by SM, and the interaction between SM and reflectance was not completely equivalent through different texture classes. The EPO correction showed an improvement of prediction accuracy of clay (RPIQ improved from 1.82 to 2.93), CaCO3 (RPIQ improved from 1.96 to 2.73), and OC (RPIQ improved from 1.94 to 3.44). Also better results have been gained by the customization of EPO for different texture classes. The performances of the EPO algorithm for clay and OC modeling dropped by increasing EC. This suggests that further studies are required to develop a method for eliminating the effects of the external parameters caused by increased salt levels in the soil. |
英文关键词 | EPO PLS-BPNN Soil moisture Soil texture Soil salinity VNIR spectrometry |
类型 | Article |
语种 | 英语 |
开放获取类型 | Bronze |
收录类别 | SCI-E |
WOS记录号 | WOS:000712590000010 |
WOS关键词 | NEAR-INFRARED SPECTROSCOPY ; DIFFUSE-REFLECTANCE SPECTROSCOPY ; INORGANIC CARBON ; NIR SPECTRA ; EPO-PLS ; CLAY ; VNIR ; LIBRARY ; SENSOR ; SALT |
WOS类目 | Soil Science |
WOS研究方向 | Agriculture |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/374465 |
作者单位 | [Mirzaei, Saham; Boloorani, Ali Darvishi; Alavipanah, Seyed Kazem] Univ Tehran, Fac Geog, Dept Remote Sensing & GIS, Tehran, Iran; [Bahrami, Hossein Ali] Tarbiat Modares Univ, Dept Soil Sci, Fac Agr, Tehran, Iran; [Mousivand, Alijafar] Tarbiat Modares Univ, Dept Remote Sensing & GIS, Tehran, Iran; [Mouazen, Abdul Mounem] Univ Ghent, Fac Biosci Engn, Dept Environm, Coupure Links 653,Blok B,1st Floor, B-9000 Ghent, Belgium |
推荐引用方式 GB/T 7714 | Mirzaei, Saham,Boloorani, Ali Darvishi,Bahrami, Hossein Ali,et al. Minimising the effect of moisture on soil property prediction accuracy using external parameter orthogonalization[J],2022,215. |
APA | Mirzaei, Saham,Boloorani, Ali Darvishi,Bahrami, Hossein Ali,Alavipanah, Seyed Kazem,Mousivand, Alijafar,&Mouazen, Abdul Mounem.(2022).Minimising the effect of moisture on soil property prediction accuracy using external parameter orthogonalization.SOIL & TILLAGE RESEARCH,215. |
MLA | Mirzaei, Saham,et al."Minimising the effect of moisture on soil property prediction accuracy using external parameter orthogonalization".SOIL & TILLAGE RESEARCH 215(2022). |
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