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A global spectral library to characterize the world's soil

Viscarra Rossel, Raphael A. and Stenberg, Bo and Ji, W. (2016). A global spectral library to characterize the world's soil. Earth-Science Reviews. 155, 198-230
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Official URL: http://dx.doi.org/10.1016/j.earscirev.2016.01.012

Abstract

Soil provides ecosystemservices, supports human health and habitation, stores carbon and regulatesemissions of greenhouse gases. Unprecedented pressures on soil from degradation and urbanization are threatening agroecological balances and food security. It is important that we learn more about soil to sustainably manage and preserve it for future generations. To this end, we developed and analyzed a global soil visible-near infrared (vis-NIR) spectral library. It is currently the largest and most diverse database of its kind. We show that the information encoded in the spectra can describe soil composition and be associated to land cover and its global geographic distribution, which acts as a surrogate for global climate variability. We also show the usefulness of the global spectra for predicting soil attributes such as soil organic and inorganic carbon, clay, silt, sand and iron contents, cation exchange capacity, and pH. Usingwavelets to treat the spectra, whichwere recorded in different laboratories using different spectrometers and methods, helped to improve the spectroscopic modelling. We found that modelling a diverse set of spectra with a machine learning algorithm can find the local relationships in the data to produce accurate predictions of soil properties. The spectroscopic models that we derived are parsimonious and robust, and using them we derived a harmonized global soil attribute dataset, which might serve to facilitate research on soil at the global scale. This spectroscopic approach should help to deal with the shortage of data on soil to better understand it and to meet the growing demand for information to assess andmonitor soil at scales ranging fromregional to global.New contributions to the library are encouraged so that this work and our collaboration might progress to develop a dynamic and easily updatable database with better global coverage. We hope that this work will reinvigorate our community's discussion towards larger, more coordinated collaborations. We also hope that use of the database will deepen our understanding of soil so that we might sustainably manage it and extend the research outcomes of the soil, earth and environmental sciences towards applications that we have not yet dreamed of.

Authors/Creators:Viscarra Rossel, Raphael A. and Stenberg, Bo and Ji, W.
Title:A global spectral library to characterize the world's soil
Series/Journal:Earth-Science Reviews (0012-8252)
Year of publishing :2016
Volume:155
Page range:198-230
Number of Pages:33
Publisher:Élsevier
ISSN:0012-8252
Language:English
Publication Type:Journal article
Refereed:Yes
Article category:Scientific peer reviewed
Version:Published version
Full Text Status:Public
Agris subject categories.:P Natural resources > P31 Soil surveys and mapping
Subjects:(A) Swedish standard research categories 2011 > 4 Agricultural Sciences > 401 Agricultural, Forestry and Fisheries > Soil Science
(A) Swedish standard research categories 2011 > 4 Agricultural Sciences > 401 Agricultural, Forestry and Fisheries > Agricultural Science
(A) Swedish standard research categories 2011 > 4 Agricultural Sciences > 405 Other Agricultural Sciences > Environmental Sciences related to Agriculture and Land-use
Agrovoc terms:soil, infrared spectrophotometry, geographical distribution
Keywords:Soil spectral library, Global soil dataset, Soil vis–NIR spectra, Vis–NIR spectroscopy, Multivariate statistics, Machine learning Wavelets
URN:NBN:urn:nbn:se:slu:epsilon-e-3596
Permanent URL:
http://urn.kb.se/resolve?urn=urn:nbn:se:slu:epsilon-e-3596
Additional ID:
Type of IDID
Web of Science (WoS)000374624800011
ID Code:13559
Faculty:NJ - Fakulteten för naturresurser och jordbruksvetenskap
Department:(NL, NJ) > Dept. of Soil and Environment
(S) > Dept. of Soil and Environment
Deposited By: SLUpub Connector
Deposited On:18 Aug 2016 06:34
Metadata Last Modified:18 Aug 2016 06:34

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