A global spectral library to characterize the world's soil

Autor: David J. Brown, Carolyn Hedley, Cécile Gomez, Bo Stenberg, Suk Young Hong, P. Sanborn, H.J.M. Morrás, R. A. Viscarra Rossel, Youssef Fouad, Martial Bernoux, Adrian Chappell, Pierre Roudier, Harm Bartholomeus, César Guerrero, Viacheslav I. Adamchuk, Valérie Genot, Zhou Shi, Bernard Barthès, Leigh A. Winowiecki, Eyal Ben-Dor, L. Brodský, Kenneth A. Sudduth, Christian Walter, Anita D. Bayer, Wenjun Ji, Hamouda Aichi, José Alexandre Melo Demattê, Sabine Grunwald, Leonardo Ramirez-Lopez, Barry G. Rawlins, Andreas Gubler, E.M. Rufasto Campos, Changwen Du, Keith D. Shepherd, V.M. Sellitto, Kristin Böttcher, Antoine Stevens, Marco Nocita, Thorsten Behrens, Maria Knadel
Přispěvatelé: CSIRO Land and Water, Commonwealth Scientific and Industrial Research Organisation [Canberra] (CSIRO), University of Tübingen, Tel Aviv University [Tel Aviv], Washington State University (WSU), Universidade Estadual Paulista Júlio de Mesquita Filho = São Paulo State University (UNESP), World Agroforestry Center [CGIAR, Mali] (ICRAF), World Agroforestry Center [CGIAR, Kenya] (ICRAF), Consultative Group on International Agricultural Research [CGIAR] (CGIAR)-Consultative Group on International Agricultural Research [CGIAR] (CGIAR), Zhejiang University, Swedish University of Agricultural Sciences (SLU), Earth and Life Institute [Louvain-La-Neuve] (ELI), Université Catholique de Louvain = Catholic University of Louvain (UCL), McGill University = Université McGill [Montréal, Canada], SPADD Laboratory, Higher School of Agriculture of Mograne, Université de Tunis Carthage, Ecologie fonctionnelle et biogéochimie des sols et des agro-écosystèmes (UMR Eco&Sols), Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut de Recherche pour le Développement (IRD)-Institut National de la Recherche Agronomique (INRA), Wageningen University and Research [Wageningen] (WUR), Karlsruhe Institute of Technology (KIT), JRC Institute for Environment and Sustainability (IES), European Commission - Joint Research Centre [Ispra] (JRC), Finnish Environment Institute (SYKE), Czech University of Life Sciences Prague (CZU), State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Sciences, Chinese Academy of Sciences, Chinese Academy of Sciences (CAS), Sol Agro et hydrosystème Spatialisation (SAS), Institut National de la Recherche Agronomique (INRA)-AGROCAMPUS OUEST, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), Université de Liège, Laboratoire d'étude des Interactions Sol - Agrosystème - Hydrosystème (UMR LISAH), Institut de Recherche pour le Développement (IRD)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), University of Florida [Gainesville] (UF), Agroscope FAL Reckenholz (AGROSCOPE), Eidgenössische Technische Hochschule - Swiss Federal Institute of Technology [Zürich] (ETH Zürich), Universidad Miguel Hernández [Elche] (UMH), Manaaki Whenua – Landcare Research [Lincoln], Aarhus University [Aarhus], INTA Castelar CIRN, Instituto Nacional de Tecnología Agropecuaria (INTA), BÜCHI Labortechnik AG, Partenaires INRAE, Universidad Nacional Pedro Ruiz Gallo, University of Northern British Columbia [Prince George] (UNBC), University of Molise [Campobasso] (UNIMOL), University of Molise, USDA-ARS Cropping Systems and Water Quality Research Unit (USDA), University of Missouri [Columbia] (Mizzou), University of Missouri System-University of Missouri System, British Geological Survey (BGS), Consultative Group on International Agricultural Research [CGIAR] (CGIAR), National Institute of Agricultural Sciences, Remote Sensing and GIS Laboratory, Laboratoire de Probabilités et Modèles Aléatoires (LPMA), Université Pierre et Marie Curie - Paris 6 (UPMC)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), Institut National de la Recherche Agronomique (INRA)-Institut de Recherche pour le Développement (IRD)-Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), CSIRO - Land & Water National Research Flagship, Tissu Osseux et Contraintes Mecaniques (LBTO), Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM), Universidad de Sevilla, AGROCAMPUS OUEST-Institut National de la Recherche Agronomique (INRA), Tel Aviv University (TAU), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut de Recherche pour le Développement (IRD)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Università degli Studi del Molise = University of Molise (UNIMOL)
Jazyk: angličtina
Rok vydání: 2016
Předmět:
Vis–NIR spectroscopy
010504 meteorology & atmospheric sciences
Earth and Planetary Sciences(all)
Soil Science
Soil science
Land cover
Silt
[SDV.SA.SDS]Life Sciences [q-bio]/Agricultural sciences/Soil study
Global soil dataset
Wavelets
01 natural sciences
Ecosystem services
Laboratory of Geo-information Science and Remote Sensing
Machine learning
Cation-exchange capacity
machine teaming
Laboratorium voor Geo-informatiekunde en Remote Sensing
[SDU.STU.HY]Sciences of the Universe [physics]/Earth Sciences/Hydrology
Agricultural Science
0105 earth and related environmental sciences
2. Zero hunger
Soil vis-NIR spectra
Food security
business.industry
Scale (chemistry)
Environmental resource management
Vis-NIR spectroscopy
Soil vis–NIR spectra
04 agricultural and veterinary sciences
15. Life on land
PE&RC
Soil spectral library
Multivariate statistics
Environmental Sciences related to Agriculture and Land-use
13. Climate action
Greenhouse gas
Sustainability
040103 agronomy & agriculture
0401 agriculture
forestry
and fisheries
General Earth and Planetary Sciences
Environmental science
business
Zdroj: Earth-Science Reviews
Earth-Science Reviews, Elsevier, 2016, 155, pp.198-230. ⟨10.1016/j.earscirev.2016.01.012⟩
ResearcherID
Earth-Science Reviews 155 (2016)
A. Viscarra Rossel, R, Behrens, T, Ben Dor, E, Brown, D J, Demattê, J A M, Shepherd, K D, Shi, Z, Stenberg, B, Stevens, A, Adamchuk, V, Aïchi, H, Barthès, B G, Bartholomeus, H M, Bayer, A D, Bernoux, M, Böttcher, K, Brodský, L, Du, C W, Chappell, A, Fouad, Y, Genot, V, Gomez, C, Grunwald, S, Gubler, A, Guerrero, C, Hedley, C B, Knadel, M, Morrás, H J M, Nocita, M, Ramirez-Lopez, L, Roudier, P, Rufasto Campos, E M, Sanborn, P, Sellitto, V M, Sudduth, K A, Rawlins, B G, Walter, C, Winowiecki, L A, Hong, S Y & Ji, W 2016, ' A global spectral library to characterize the world's soil ', Earth-Science Reviews, vol. 155, pp. 198-230 . https://doi.org/10.1016/j.earscirev.2016.01.012
Earth-Science Reviews, 155, 198-230
Earth-Science Reviews, 2016, 155, pp.198-230. ⟨10.1016/j.earscirev.2016.01.012⟩
ISSN: 0012-8252
Popis: Soil provides ecosystemservices, supports human health and habitation, stores carbon and regulatesemissions ofgreenhouse gases. Unprecedented pressures on soil from degradation and urbanization are threatening agroecologicalbalances and food security. It is important that we learn more about soil to sustainably manage andpreserve 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 informationencoded 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 ofthe global spectra for predicting soil attributes such as soil organic and inorganic carbon, clay, silt, sand andiron contents, cation exchange capacity, and pH. Usingwavelets to treat the spectra, whichwere recorded in differentlaboratories 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 relationshipsin the data to produce accurate predictions of soil properties. The spectroscopic models that we derivedare parsimonious and robust, and using them we derived a harmonized global soil attribute dataset, whichmight serve to facilitate research on soil at the global scale. This spectroscopic approach should help to dealwith the shortage of data on soil to better understand it and to meet the growing demand for information to assessandmonitor soil at scales ranging fromregional to global.New contributions to the library are encouraged sothat this work and our collaboration might progress to develop a dynamic and easily updatable database withbetter 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 soilso that we might sustainably manage it and extend the research outcomes of the soil, earth and environmentalsciences towards applications that we have not yet dreamed of.
Databáze: OpenAIRE
Externí odkaz: