Wet or dry? The effect of sample characteristics on the determination of soil properties by near infrared spectroscopy

被引:12
作者
Roberts, J. J. [1 ]
Cozzolino, D. [1 ]
机构
[1] Cent Queensland Univ CQU Australia, Sch Med & Appl Sci, CQIRP Cent Queensland Innovat & Res Precinct, Bruce Highway, North Rockhampton, Qld 4701, Australia
关键词
Near infrared; Dry; Wet; Soil; Organic carbon; DIFFUSE-REFLECTANCE SPECTROSCOPY; PARTIAL LEAST-SQUARES; ORGANIC-CARBON; NIR SPECTROSCOPY; MOISTURE; CLAY; PREDICTION; SPECTRA; MATTER; ATTRIBUTES;
D O I
10.1016/j.trac.2016.08.002
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
Most of the published articles related to the application of near infrared (NIR) spectroscopy for the quantitative analysis of soils parameters, have reported experiments or studies that are largely laboratory based where soil properties such as soil organic carbon (SOC) content are assessed on dry and sieved samples. The recent arrival of hand-held and portable analytical equipment allowing for the quantitative analysis of samples in situ have provided new possibilities for the analysis of soils. The implementation of this type of instrumentation will result in reduced time and cost of analysis, and will have a profound effect on the associated method steps (e.g. storing, drying, and sieving) currently used when soils are analysed in the laboratory. The aim of this short review is to highlight the gaps in the research related to the analysis of soil samples by NIR spectroscopy with high moisture (HM) content. Inconsistent results were found in the scientific literature in relation with the ability of NIR spectroscopy to measure soil chemical properties with HM content. The use of pre-processing methods did not improve the calibrations nor the selection of samples with different moisture levels. The re-wetting (hydration) of the sample and the conversion of units into volumetric ones led to optimism for the measurement of in field samples by NIR spectroscopy. However, in field applications are still in their infancy. (C) 2016 Elsevier B.V. All rights reserved.
引用
收藏
页码:25 / 30
页数:6
相关论文
共 58 条
  • [1] On-the-go soil sensors for precision agriculture
    Adamchuk, VI
    Hummel, JW
    Morgan, MT
    Upadhyaya, SK
    [J]. COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2004, 44 (01) : 71 - 91
  • [2] Vibrational spectroscopy in soil and sediment analysis
    Armenta, Sergio
    de la Guardia, Miguel
    [J]. TRENDS IN ENVIRONMENTAL ANALYTICAL CHEMISTRY, 2014, 2 : 43 - 52
  • [3] Critical review of chemometric indicators commonly used for assessing the quality of the prediction of soil attributes by NIR spectroscopy
    Bellon-Maurel, Veronique
    Fernandez-Ahumada, Elvira
    Palagos, Bernard
    Roger, Jean-Michel
    McBratney, Alex
    [J]. TRAC-TRENDS IN ANALYTICAL CHEMISTRY, 2010, 29 (09) : 1073 - 1081
  • [4] Quantitative remote sensing of soil properties
    Ben-Dor, E
    [J]. ADVANCES IN AGRONOMY, VOL 75, 2002, 75 : 173 - 243
  • [5] Ben-Dor E., 1990, Sci. Geol. Bull, V43, P117
  • [6] Ben-Dor E., 1999, Remote Sensing for the Earth Sciences: Manual of Remote Sensing, V3, P3
  • [7] A novel method of classifying soil profiles in the field using optical means
    Ben-Dor, Eyal
    Heller, Daniela
    Chudnovsky, Alexandra
    [J]. SOIL SCIENCE SOCIETY OF AMERICA JOURNAL, 2008, 72 (04) : 1113 - 1123
  • [8] BOWERS S. A., 1965, SOIL SCI, V100, P130, DOI 10.1097/00010694-196508000-00009
  • [9] On-the-go VisNIR: Potential and limitations for mapping soil clay and organic carbon
    Bricklemyer, Ross S.
    Brown, David J.
    [J]. COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2010, 70 (01) : 209 - 216
  • [10] Using a global VNIR soil-spectral library for local soil characterization and landscape modeling in a 2nd-order Uganda watershed
    Brown, David J.
    [J]. GEODERMA, 2007, 140 (04) : 444 - 453