Literature DB >> 11833914

The potential of diffuse reflectance spectroscopy for the determination of carbon inventories in soils.

J Reeves1, G McCarty, T Mimmo.   

Abstract

Investigations have shown that near- and mid-infrared reflectance spectroscopy can accurately determine organic-C in soil. Efforts have also demonstrated that both can differentiate between organic and inorganic-C in soils, but the mid-infrared produces more accurate calibrations. Nevertheless, the greatest benefit would come with in situ determinations where factors such as particle size, sample heterogeneity and moisture can be important. While the variations in large (> 20 mesh) particle size can adversely effect calibration accuracy, efforts have demonstrated that the scanning of larger amounts of sample can overcome this, but the effects of moisture have not been fully explored. While under in situ conditions C distribution and sample heterogeneity are a problem for any analytical method, the rapid analysis possible with spectroscopic techniques will allow many more samples to be analyzed. In conclusion, near- and mid-infrared spectroscopy have great potential for providing the C values needed for C sequestration studies.

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Year:  2002        PMID: 11833914     DOI: 10.1016/s0269-7491(01)00259-7

Source DB:  PubMed          Journal:  Environ Pollut        ISSN: 0269-7491            Impact factor:   8.071


  6 in total

1.  Measurement and analysis of soil nitrogen and organic matter content using near-infrared spectroscopy techniques.

Authors:  Yong He; Hai-yan Song; Annia García Pereira; Antihus Hernández Gómez
Journal:  J Zhejiang Univ Sci B       Date:  2005-11       Impact factor: 3.066

2.  Predictions of soil organic carbon using laboratory-based hyperspectral data in the northern Tianshan mountains, China.

Authors:  Hongfei Yang; Jianlong Li
Journal:  Environ Monit Assess       Date:  2012-09-01       Impact factor: 2.513

3.  Analysis of visible and near infrared spectral reflectance for assessing metals in soil.

Authors:  Paresh H Rathod; Ingo Müller; Freek D Van der Meer; Boudewijn de Smeth
Journal:  Environ Monit Assess       Date:  2016-09-10       Impact factor: 2.513

4.  Accuracy and Reproducibility of Laboratory Diffuse Reflectance Measurements with Portable VNIR and MIR Spectrometers for Predictive Soil Organic Carbon Modeling.

Authors:  Sebastian Semella; Christopher Hutengs; Michael Seidel; Mathias Ulrich; Birgit Schneider; Malte Ortner; Sören Thiele-Bruhn; Bernard Ludwig; Michael Vohland
Journal:  Sensors (Basel)       Date:  2022-04-02       Impact factor: 3.576

5.  Effects of Subsetting by Parent Materials on Prediction of Soil Organic Matter Content in a Hilly Area Using Vis-NIR Spectroscopy.

Authors:  Shengxiang Xu; Xuezheng Shi; Meiyan Wang; Yongcun Zhao
Journal:  PLoS One       Date:  2016-03-14       Impact factor: 3.240

6.  Hotspots of soil organic carbon storage revealed by laboratory hyperspectral imaging.

Authors:  Eleanor Hobley; Markus Steffens; Sara L Bauke; Ingrid Kögel-Knabner
Journal:  Sci Rep       Date:  2018-09-17       Impact factor: 4.379

  6 in total

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