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Journal articles
The globalsoilmap project: past, present, future, and national examples from france
D. Arrouays
1
A. Richer-De-Forges
1
A. Mcbratney
2
A. Hartemink
3
B. Minasny
2
I. Savin
4
M. Grundy
5
J Leenaars
6
L. Poggio
6
P. Roudier
7
Z. Libohova
8
N Mckenzie
5
H. van den Bosch
6
B. Kempen
6
V Mulder
9
M. Lacoste
10
S. Chen
11, 1
N Saby
1
M. Martin
1
M. Román Dobarco
1
I. Cousin
10
T. Loiseau
1
Sébastien Lehmann
1
M. Caubet
1
Blandine Lemercier
11
Christian Walter
11
E. Vaudour
12
Cecile Gomez
13
G. Martelet
14
P. Krasilnikov
15
Philippe Lagacherie
13
D. Arrouays 1
Author
A. C Richer-De-Forges 1
Author IdHAL : anne-richer-de-forges ResearcherId : http://www.researcherid.com/rid/U-31466-2018 ORCID : https://orcid.org/0000-0002-3170-4014 ISNI : http://isni.org/isni/0000000423393847
A. B Mcbratney 2
Author
A. E Hartemink 3
Author
H. van den Bosch 6
Author
B. Kempen 6
Author
V L Mulder 9
Author
M. Lacoste 10
Author IdHAL : marine-lacoste ORCID : https://orcid.org/0000-0002-6635-873X
I. Cousin 10
Author IdHAL : isabelle-cousin ORCID : https://orcid.org/0000-0002-8114-7113
T. Loiseau 1
Author
Sébastien Lehmann 1
Author Employer institution : Institut National de la Recherche Agronomique
M. Caubet 1
Author
Blandine Lemercier 11
Author Employer institution : AGROCAMPUS OUEST IdHAL : blandine-lemercier ResearcherId : http://www.researcherid.com/rid/K-3736-2013 ORCID : https://orcid.org/0000-0001-7270-8743
Christian Walter 11
Author Employer institution : AGROCAMPUS OUEST IdHAL : christian-waltera-1015-2012 ResearcherId : http://www.researcherid.com/rid/A-1015-2012 IdRef : https://www.idref.fr/080639399 ORCID : https://orcid.org/0000-0002-4395-4942
E. Vaudour 12
Author
Cecile Gomez 13
Author IdHAL : cecile-gomez ORCID : https://orcid.org/0000-0002-2986-430X
G. Martelet 14
Author IdHAL : guillaume-martelet ResearcherId : http://www.researcherid.com/rid/AAK-6825-2020 ORCID : https://orcid.org/0000-0003-4922-4323
P. Krasilnikov 15
Author
Philippe Lagacherie 13
Author
1
InfoSol - InfoSol (2163, avenue de la Pomme de Pin
CS 40001
45075 ORLEANS CEDEX 2 - France)
- INRA - Institut National de la Recherche Agronomique : UA1106 (France)
2
The University of Sydney (New South Wales 2006 - Australia)
3
University of Wisconsin - Milwaukee (P.O. Box 413, Milwaukee, WI 53201 - United States)
4
SSI - Dokuchaev Soil Science Institute (Pyzhevskiy pereulok, 7, Moscow, 119017, Russia - Russia)
5
CSIRO - Commonwealth Scientific and Industrial Research Organisation [Canberra] (GPO Box 1700, Canberra ACT 2600 - Australia)
6
ISRIC - World Soil Information (Droevendaalsesteeg 3
6708 PB Wageningen
The Netherlands - Netherlands)
7
Manaaki Whenua – Landcare Research [Lincoln] (New Zealand)
8
USDA - USDA Agricultural Research Service [Maricopa, AZ] ( US Arid Land Agricultural Research Center - United States)
- USDA - United States Department of Agriculture (United States)
9
Soil Geography and Landscape Group (Netherlands)
- WUR - Wageningen University and Research [Wageningen] (Droevendaalsesteeg 4, 6708 PB Wageningen - Netherlands)
10
URSols - URSols 0272 (UR0272 (Science du Sol)
INRA
CS 40001 Ardon
45075 Orléans cedex 2 - France)
11
SAS - Sol Agro et hydrosystème Spatialisation (UMR 1069, Sol Agro et Hydrosystème Spatialisation, Batiment 13, Agrocampus Ouest, 65 rue de Saint Brieuc CS 84215 35042 Rennes CEDEX - France)
- AGROCAMPUS OUEST (Institut Supérieur des Sciences Agronomiques, Agroalimentaires, Horticoles et du Paysage - 65, rue de St Brieuc - CS 84215 - 35042 Rennes cedex - France)
- INRA - Institut National de la Recherche Agronomique : UMR1069 (France)
12
ECOSYS - Ecologie fonctionnelle et écotoxicologie des agroécosystèmes (Route de la Ferme 78850 Thiverval-Grignon - France)
- INRA - Institut National de la Recherche Agronomique : UMR1402 (France)
- AgroParisTech (16 rue Claude Bernard F-75231 Paris Cedex 05 - France)
13
UMR LISAH - Laboratoire d'étude des Interactions Sol - Agrosystème - Hydrosystème (Bâtiment 24
2 place Pierre Viala
34060 Montpellier cedex 1
France - France)
- IRD - Institut de Recherche pour le Développement (Siège Le Sextant 44, bd de Dunkerque CS 90009 13572 Marseille cedex 02 - France)
- INRA - Institut National de la Recherche Agronomique (France)
- Montpellier SupAgro - Centre international d'études supérieures en sciences agronomiques (2, place Pierre Viala - 34060 Montpellier Cedex 02 - France)
- Montpellier SupAgro - Institut national d’études supérieures agronomiques de Montpellier (2, place Viala 34060 Montpellier Cédex 2 - France)
15
MSU - Lomonosov Moscow State University (GSP-1, Leninskie Gory, Moscow, 119991, Russian Federation - Russia)
Abstract : Soils have critical relevance to global issues, such as food and water security, climate regulation, sustainable energy, desertification and biodiversity protection. As a consequence, soil is becoming one of the top priorities for the global environmental policy agenda .
Conventional soil maps suffer from large limitations, i.e. most of them are static and often obsolete, are often generated at coarse scale, and can be uneasy to handle. Digital Soil Mapping has been developed as a solution to generate high - resolution maps of soil properties over large areas. Two projects, GlobalSoilMap and SoilGrids, presently aim at delivering the first generation of global, high - resolution soil property fine grids. In this paper, we briefly describe the GlobalSoilMap history, its present status and present achievements, and illustrate some of these with (mainly) French examples. At given moment there is still an enormous potential for forthcoming research and for delivering products more helpful for end users. Key here is the continuous progress in available covariates, in their spatial, spectral and tem-
poral coverage and resolution through remote sensing products. All over the world, there is still a very large amount of point soil data still to be rescued and this effort should be pursued and encouraged. Statistically advances are ex-pected by exploring and implementing new models. Especially relevant are spa- tial - temporal models and contemporary Artificial Intelligence for handling the complex big data. Advances should be made and research efforts are needed on estimating the uncertainties, and even on estimating uncertainties on uncertain-
ties.Attempts to merge different model strategies and products (for instance deriving from différent covariates, spatial extents, soil data sources, and models) should be made in order to get the most useful information from each of these predictions, and to identify how controlling factors may change depending on scales .
Keywords :
geostatistics
digital soil mapping
Document type :
Journal articles
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https://hal-agrocampus-ouest.archives-ouvertes.fr/hal-01969966
Contributor : Catherine Cliquet <>
Submitted on : Friday, January 4, 2019 - 4:27:54 PM
Last modification on : Tuesday, February 9, 2021 - 4:28:03 AM
Long-term archiving on: : Friday, April 5, 2019 - 2:31:08 PM
Contributor : Catherine Cliquet <>
Submitted on : Friday, January 4, 2019 - 4:27:54 PM
Last modification on : Tuesday, February 9, 2021 - 4:28:03 AM
Long-term archiving on: : Friday, April 5, 2019 - 2:31:08 PM
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311-374-1-SM (1).pdf
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Licence
Distributed under a Creative Commons Attribution 4.0 International License
Identifiers
- HAL Id : hal-01969966, version 1
- DOI : 10.19047/0136-1694-2018-95-3-23
- IRD : fdi:010067854
- PRODINRA : 456315
Collections
AGROCAMPUS-OUEST | INRA | UNAM | BRGM | IRD | AGROPARISTECH | ECOSYS | AGROCAMPUS-OUEST-UMR-SAS | MONTPELLIER-SUPAGRO | INRAE
Citation
D. Arrouays, A. Richer-De-Forges, A. Mcbratney, A. Hartemink, B. Minasny, et al.. The globalsoilmap project: past, present, future, and national examples from france. Dokuchaev Soil Bulletin, V V Dokuchaev Soil Institute, 2018, 95 (95), pp.3-23. ⟨10.19047/0136-1694-2018-95-3-23⟩. ⟨hal-01969966⟩
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