VISIBLE AND NEAR INFRARED SPECTROSCOPY IN SOIL SCIENCE

被引:1075
|
作者
Stenberg, Bo [1 ]
Rossel, Raphael A. Viscarra [2 ]
Mouazen, Abdul Mounem [3 ]
Wetterlind, Johanna [1 ]
机构
[1] Swedish Univ Agr Sci, Dept Soil & Environm, Skara, Sweden
[2] CSIRO Land & Water, Bruce E Butler Lab, Canberra, ACT, Australia
[3] Cranfield Univ, Dept Nat Resources, Cranfield MK43 0AL, Beds, England
来源
ADVANCES IN AGRONOMY, VOL 107 | 2010年 / 107卷
关键词
DIFFUSE-REFLECTANCE SPECTROSCOPY; ORGANIC-MATTER; NIR SPECTROSCOPY; ULTRA-VIOLET; SIMULTANEOUSLY EVALUATE; CHEMICAL-PROPERTIES; CARBON VARIABILITY; MICROBIAL BIOMASS; CONIFEROUS FOREST; NITROGEN ANALYSIS;
D O I
10.1016/S0065-2113(10)07005-7
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
This chapter provides a review on the state of soil visible near infrared (vis NIR) spectroscopy. Our intention is for the review to serve as a source of up-to-date information on the past and current role of vis NIR spectroscopy in soil science. It should also provide critical discussion on issues surrounding the use of vis NIR for soil analysis and on future directions. To this end, we describe the fundamentals of visible and infrared diffuse reflectance spectroscopy and spectroscopic multivariate calibrations. A review of the past and current role of vis NIR spectroscopy in soil analysis is provided, focusing on important soil attributes such as soil organic matter (SOM), minerals, texture, nutrients, water, pH, and heavy metals. We then discuss the performance and generalization capacity of vis NIR calibrations, with particular attention on sample pretratments, covariations in data sets, and mathematical data preprocessing. Field analyses and strategies for the practical use of vis NIR are considered. We conclude that the technique is useful to measure soil water and mineral composition and to derive robust calibrations for SOM and clay content. Many studies show that we also can predict properties such as pH and nutrients, although their robustness may be questioned. For future work we recommend that research should focus on: (i) moving forward with more theoretical calibrations, (ii) better understanding of the complexity of soil and the physical basis for soil reflection, and (iii) applications and the use of spectra for soil mapping and monitoring, and for making inferences about soils quality, fertility and function. To do this, research in soil spectroscopy needs to be more collaborative and strategic. The development of the Global Soil Spectral Library might be a step in the right direction.
引用
收藏
页码:163 / 215
页数:53
相关论文
共 50 条
  • [21] Soil Properties Prediction for Precision Agriculture Using Visible and Near-Infrared Spectroscopy: A Systematic Review and Meta-Analysis
    Ahmadi, Arman
    Emami, Mohammad
    Daccache, Andre
    He, Liuyue
    AGRONOMY-BASEL, 2021, 11 (03):
  • [22] Estimation of Clay and Soil Organic Carbon Using Visible and Near-Infrared Spectroscopy and Unground Samples
    Wang, Changkun
    Pan, Xianzhang
    SOIL SCIENCE SOCIETY OF AMERICA JOURNAL, 2016, 80 (05) : 1393 - 1402
  • [23] Visible Near-Infrared Spectroscopy and Pedotransfer Function Well Predict Soil Sorption Coefficient of Glyphosate
    Akter, Sonia
    de Jonge, Lis Wollesen
    Moldrup, Per
    Greve, Mogens Humlekrog
    Norgaard, Trine
    Weber, Peter Lystbaek
    Hermansen, Cecilie
    Mouazen, Abdul Mounem
    Knadel, Maria
    REMOTE SENSING, 2023, 15 (06)
  • [24] Fusion of visible-to-near-infrared and mid-infrared spectroscopy to estimate soil organic carbon
    Hong, Yongsheng
    Munnaf, Muhammad Abdul
    Guerrero, Angela
    Chen, Songchao
    Liu, Yaolin
    Shi, Zhou
    Mouazen, Abdul Mounem
    SOIL & TILLAGE RESEARCH, 2022, 217
  • [26] Using a One-Dimensional Convolutional Neural Network on Visible and Near-Infrared Spectroscopy to Improve Soil Phosphorus Prediction in Madagascar
    Kawamura, Kensuke
    Nishigaki, Tomohiro
    Andriamananjara, Andry
    Rakotonindrina, Hobimiarantsoa
    Tsujimoto, Yasuhiro
    Moritsuka, Naoki
    Rabenarivo, Michel
    Razafimbelo, Tantely
    REMOTE SENSING, 2021, 13 (08)
  • [27] Predictive capacity of visible-near infrared spectroscopy for quality parameter assessment of compost
    Herrmann, Sandra
    Mayer, Jochen
    Michel, Kerstin
    Ludwig, Bernard
    JOURNAL OF NEAR INFRARED SPECTROSCOPY, 2009, 17 (05) : 289 - 301
  • [28] In situ prediction of soil chemical properties with visible and near infrared spectroscopy in an African savannah
    Kuehnel, Anna
    Bogner, Christina
    Huwe, Bernd
    GLOBALSOILMAP: BASIS OF THE GLOBAL SPATIAL SOIL INFORMATION SYSTEM, 2014, : 409 - 413
  • [29] In Situ Measurement of Some Soil Properties in Paddy Soil Using Visible and Near-Infrared Spectroscopy
    Ji Wenjun
    Shi Zhou
    Huang Jingyi
    Li Shuo
    PLOS ONE, 2014, 9 (08):
  • [30] Visible and near infrared spectroscopy for predicting texture in forest soil: an application in southern Italy
    Conforti, Massimo
    Froio, Raffaele
    Matteucci, Giorgio
    Buttafuoco, Gabriele
    IFOREST-BIOGEOSCIENCES AND FORESTRY, 2015, 8 : 339 - 347