Prediction of the Soil Organic Matter (SOM) content from moist soil using synchronous two-dimensional correlation spectroscopy (2D-COS) analysis

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dc.contributor.authorWang, Shifang
dc.contributor.authorCheng, Xu
dc.contributor.authorZheng, Decong
dc.contributor.authorSong, Haiyan
dc.contributor.authorHan, Ping
dc.contributor.authorYuen, Peter W. T.
dc.date.accessioned2020-09-11T10:00:01Z
dc.date.available2020-09-11T10:00:01Z
dc.date.issued2020-08-26
dc.description.abstractThis paper illustrates a simple yet effective spectroscopic technique for the prediction of soil organic matter (SOM) from moist soil through the synchronous 2D correlation spectroscopy (2D‐COS) analysis. In the moist soil system, the strong overlap between the water absorption peaks and the SOM characteristic features in the visible‐near infrared (Vis‐NIR) spectral region have long been recognised as one of the main factors that causes significant errors in the prediction of the SOM content. The aim of the paper is to illustrate how the tangling effects due to the moisture and the SOM can be unveiled under 2D‐COS through a sequential correlogram analysis of the two perturbation variables (i.e., the moisture and the SOM) independently. The main outcome from the 2D‐COS analysis is the discovery of SOM‐related bands at the 597 nm, 1646 nm and 2138 nm, together with the predominant water absorbance feature at the 1934 nm and the relatively less important ones at 1447 nm and 2210 nm. This information is then utilised to build partial least square regression (PLSR) models for the prediction of the SOM content. The experiment has shown that by discarding noisy bands adjacent to the SOM features, and the removal of the water absorption bands, the determination coefficient of prediction (Rp 2) and the ratio of prediction to deviation (RPD) for the prediction of SOM from moist soil have achieved Rp 2 = 0.92 and the RPD = 3.19, both of which are about 5% better than that of using all bands for building the PLSR model. The very high RPD (=3.19) obtained in this study may suggest that the 2D‐COS technique is effective for the analysis of complex system like the prediction of SOM from moist soilen_UK
dc.identifier.citationWang S, Cheng X, Zheng D, et al., (2020) Prediction of the Soil Organic Matter (SOM) content from moist soil using synchronous two-dimensional correlation spectroscopy (2D-COS) analysis. Sensors, Volume 20, Issue 17, August 2020, Article number 4822en_UK
dc.identifier.issn1424-8220
dc.identifier.urihttps://doi.org/10.3390/s20174822
dc.identifier.urihttp://dspace.lib.cranfield.ac.uk/handle/1826/15785
dc.language.isoenen_UK
dc.publisherMDPIen_UK
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectsoil organic matteren_UK
dc.subjectsoilen_UK
dc.subjectmoisture effecten_UK
dc.subjectspectral variable selectionen_UK
dc.subjectpartial least square regressionen_UK
dc.subjectvisible‐near infrared spectroscopyen_UK
dc.subjecttwo‐dimensional correlation spectroscopyen_UK
dc.titlePrediction of the Soil Organic Matter (SOM) content from moist soil using synchronous two-dimensional correlation spectroscopy (2D-COS) analysisen_UK
dc.typeArticleen_UK

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