The global soilmap project: past, present, future, and national examples from France

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 co-variates, in their spatial, spectral and temporal 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 expected by exploring and implementing new models. Especially relevant are spatial-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 different covariates, spatial extents, soil data sources, and mod-els) 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.

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Main Authors: Arrouays, D., Richer-de-forges, A.C., Mcbratney, A.B., Hartemink, A.E., Minasny, B., Savin, I., Grundy, M., Leenaars, J.G.B., Poggio, L., Roudier, P., Libohova, Z., Mckenzie, N.J., Van Den Bosch, H., Kempen, B., Mulder, V.L., Lacoste, M., Chen, S., Saby, N.P.A., Martin, M.P., Román Dobarco, M., Cousin, I., Loiseau, T., Lehmann, S., Caubet, M., Lemercier, B., Walter, C., Vaudour, E., Gomez, C., Martelet, G., Krasilnikov, P., Lagacherie, P.
Format: Article/Letter to editor biblioteca
Language:English
Subjects:Life Science,
Online Access:https://research.wur.nl/en/publications/the-global-soilmap-project-past-present-future-and-national-examp
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spelling dig-wur-nl-wurpubs-6006392024-08-06 Arrouays, D. Richer-de-forges, A.C. Mcbratney, A.B. Hartemink, A.E. Minasny, B. Savin, I. Grundy, M. Leenaars, J.G.B. Poggio, L. Roudier, P. Libohova, Z. Mckenzie, N.J. Van Den Bosch, H. Kempen, B. Mulder, V.L. Lacoste, M. Chen, S. Saby, N.P.A. Martin, M.P. Román Dobarco, M. Cousin, I. Loiseau, T. Lehmann, S. Caubet, M. Lemercier, B. Walter, C. Vaudour, E. Gomez, C. Martelet, G. Krasilnikov, P. Lagacherie, P. Article/Letter to editor Dokuchaev Soil Bulletin 2018 (2018) 95 ISSN: 0136-1694 The global soilmap project: past, present, future, and national examples from France 2018 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 co-variates, in their spatial, spectral and temporal 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 expected by exploring and implementing new models. Especially relevant are spatial-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 different covariates, spatial extents, soil data sources, and mod-els) 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. en application/pdf https://research.wur.nl/en/publications/the-global-soilmap-project-past-present-future-and-national-examp 10.19047/0136-1694-2018-95-3-23 https://edepot.wur.nl/575116 Life Science https://creativecommons.org/licenses/by/4.0/ https://creativecommons.org/licenses/by/4.0/ Wageningen University & Research
institution WUR NL
collection DSpace
country Países bajos
countrycode NL
component Bibliográfico
access En linea
databasecode dig-wur-nl
tag biblioteca
region Europa del Oeste
libraryname WUR Library Netherlands
language English
topic Life Science
Life Science
spellingShingle Life Science
Life Science
Arrouays, D.
Richer-de-forges, A.C.
Mcbratney, A.B.
Hartemink, A.E.
Minasny, B.
Savin, I.
Grundy, M.
Leenaars, J.G.B.
Poggio, L.
Roudier, P.
Libohova, Z.
Mckenzie, N.J.
Van Den Bosch, H.
Kempen, B.
Mulder, V.L.
Lacoste, M.
Chen, S.
Saby, N.P.A.
Martin, M.P.
Román Dobarco, M.
Cousin, I.
Loiseau, T.
Lehmann, S.
Caubet, M.
Lemercier, B.
Walter, C.
Vaudour, E.
Gomez, C.
Martelet, G.
Krasilnikov, P.
Lagacherie, P.
The global soilmap project: past, present, future, and national examples from France
description 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 co-variates, in their spatial, spectral and temporal 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 expected by exploring and implementing new models. Especially relevant are spatial-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 different covariates, spatial extents, soil data sources, and mod-els) 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.
format Article/Letter to editor
topic_facet Life Science
author Arrouays, D.
Richer-de-forges, A.C.
Mcbratney, A.B.
Hartemink, A.E.
Minasny, B.
Savin, I.
Grundy, M.
Leenaars, J.G.B.
Poggio, L.
Roudier, P.
Libohova, Z.
Mckenzie, N.J.
Van Den Bosch, H.
Kempen, B.
Mulder, V.L.
Lacoste, M.
Chen, S.
Saby, N.P.A.
Martin, M.P.
Román Dobarco, M.
Cousin, I.
Loiseau, T.
Lehmann, S.
Caubet, M.
Lemercier, B.
Walter, C.
Vaudour, E.
Gomez, C.
Martelet, G.
Krasilnikov, P.
Lagacherie, P.
author_facet Arrouays, D.
Richer-de-forges, A.C.
Mcbratney, A.B.
Hartemink, A.E.
Minasny, B.
Savin, I.
Grundy, M.
Leenaars, J.G.B.
Poggio, L.
Roudier, P.
Libohova, Z.
Mckenzie, N.J.
Van Den Bosch, H.
Kempen, B.
Mulder, V.L.
Lacoste, M.
Chen, S.
Saby, N.P.A.
Martin, M.P.
Román Dobarco, M.
Cousin, I.
Loiseau, T.
Lehmann, S.
Caubet, M.
Lemercier, B.
Walter, C.
Vaudour, E.
Gomez, C.
Martelet, G.
Krasilnikov, P.
Lagacherie, P.
author_sort Arrouays, D.
title The global soilmap project: past, present, future, and national examples from France
title_short The global soilmap project: past, present, future, and national examples from France
title_full The global soilmap project: past, present, future, and national examples from France
title_fullStr The global soilmap project: past, present, future, and national examples from France
title_full_unstemmed The global soilmap project: past, present, future, and national examples from France
title_sort global soilmap project: past, present, future, and national examples from france
url https://research.wur.nl/en/publications/the-global-soilmap-project-past-present-future-and-national-examp
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