干旱区生态环境知识资源中心(Arid): Prediction of soil hydraulic properties using VIS-NIR spectral data in semi-arid region of Northern Karnataka Plateau

Arid

DOI	10.1016/j.geodrs.2021.e00475
	Prediction of soil hydraulic properties using VIS-NIR spectral data in semi-arid region of Northern Karnataka Plateau
	Dharumarajan, S.; Lalitha, M.; Gomez, C.; Vasundhara, R.; Kalaiselvi, B.; Hegde, Rajendra
通讯作者	Dharumarajan, S (corresponding author)，ICAR Natl Bur Soil Survey & Land Use Planning, Reg Ctr, Bangalore 560024, Karnataka, India.
来源期刊	GEODERMA REGIONAL
ISSN	2352-0094
出版年	2022
卷号	28
英文摘要	Field capacity (FC) and permanent wilting point (PWP) are the important soil hydraulic properties which determine the availability of water for plant growth. Conventional estimation of soil hydraulic properties is tedious and expensive which are normally derived from pedo-transfer functions. Visible and near-infrared (VisNIR) spectroscopy is a low-cost, non-destructive alternative method for the rapid estimation of soil properties. The present study was carried out to predict soil hydraulic properties using Vis-NIR spectral data in the semi-arid region of the Northern Karnataka plateau. Spectral data of 558 soil samples were acquired using Field Spec ASD Spectroradiometer and three models (support vector machine, random forest and partial least square regression) were evaluated for prediction of FC and PWP. The models were calibrated using 2/3rd of total observations and validated using 1/3rd of observations. The validation results showed that RF and SVM provided slightly higher performance compared to PLSR model. Permanent wilting point was predicted well (R-2 = 0.70-0.74, RMSE = 5.44-5.74%) compared to field capacity (R-2 = 0.66-0.69 and RMSE = 7.25-7.51%). Among the soil orders, FC and PWP of Vertisols were poorly predicted by Vis-NIR spectra (R-2 = 0.34&0.42) and moderately predicted for Alfisols (0.44&0.52) and Inceptisols (0.55&0.65) while excellent prediction was recorded for Entisols (0.83&0.76). The present results showed that Vis-NIR spectroscopy is helpful for fast estimation of hydraulic properties in semi-arid regions of the country with high accuracy.
英文关键词	Hydraulic properties Field capacity Permanent wilting point Vis-NIR spectroscopy Random forest model Alfisols Vertisols
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:000742145500004
WOS关键词	ORGANIC-CARBON ; REFLECTANCE SPECTROSCOPY ; PEDOTRANSFER FUNCTIONS ; WATER ; FIELD ; PERFORMANCE ; CAPACITY ; NITROGEN ; MODEL ; CLAY
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/2XILL650/376862
作者单位	[Dharumarajan, S.; Lalitha, M.; Vasundhara, R.; Kalaiselvi, B.; Hegde, Rajendra] ICAR Natl Bur Soil Survey & Land Use Planning, Reg Ctr, Bangalore 560024, Karnataka, India; [Gomez, C.] Indian Inst Sci, Indo French Cell Water Sci, IRD, Bangalore, Karnataka, India; [Gomez, C.] Univ Montpellier, Inst Agro, LISAH, IRD, Montpellier, France
推荐引用方式 GB/T 7714	Dharumarajan, S.,Lalitha, M.,Gomez, C.,et al. Prediction of soil hydraulic properties using VIS-NIR spectral data in semi-arid region of Northern Karnataka Plateau[J],2022,28.
APA	Dharumarajan, S.,Lalitha, M.,Gomez, C.,Vasundhara, R.,Kalaiselvi, B.,&Hegde, Rajendra.(2022).Prediction of soil hydraulic properties using VIS-NIR spectral data in semi-arid region of Northern Karnataka Plateau.GEODERMA REGIONAL,28.
MLA	Dharumarajan, S.,et al."Prediction of soil hydraulic properties using VIS-NIR spectral data in semi-arid region of Northern Karnataka Plateau".GEODERMA REGIONAL 28(2022).