Digital soil mapping and GlobalSoilMap . Main advances and ways forward

被引:59
作者
Arrouays, Dominique [1 ]
Poggio, Laura [2 ]
Guerrero, Osvaldo A. Salazar [3 ]
Mulder, Vera Laetitia [4 ]
机构
[1] INRAE, InfoSol Unit, F-45075 Orleans, France
[2] ISRIC World Soil Informat, POB 353, NL-6700 AJ Wageningen, Netherlands
[3] Univ Chile, Fac Agr Sci, Campus Antumapu, Santiago 11315, Chile
[4] Wageningen Univ, Soil Geog & Landscape Grp, POB 47, NL-6700 AA Wageningen, Netherlands
关键词
Digital soil mapping; GlobalSoilMap; Achievements; Challenges; Working plans; Multiple soil classes; UNCERTAINTY; INFORMATION; COUNTRY; MAPS;
D O I
10.1016/j.geodrs.2020.e00265
中图分类号
S15 [土壤学];
学科分类号
0903 ; 090301 ;
摘要
In this concluding paper, we summarize the main advances coming forward from the joint conference of the International Union of Soil Sciences (IUSS) Working Groups (WG) "Digital Soil mapping" (DSM) and "GlobalSoilMap". We outline the increased availability of data and covariates. Large efforts to rescue legacy data and to put them in a harmonized format are ongoing in many parts of the world. New countries are joining the GlobalSoilMap initiative. During the same time, significant progress have been made in the countries which were among the first to develop GlobalSoilMap products. We stress the recent trends in tools used for predictive mapping of soil properties. Some solutions were proposed to solve issues about data privacy. We give examples on how to move from DSM soil digital soil mapping assessment. Aligning our research with ongoing activities within the Global Soil Partnership of the FAO has been proven successful. A need was expressed to work on the uncertainty of indicators of prediction performances and to re-evaluate validation strategies. It is necessary to develop more intuitive metrics for uncertainty assessment for interpreting and evaluating soil maps. The main progresses, remaining issues and challenges and the way forward are summarized and we propose ambitious working plans and road-maps for the two WGs and stress their complementarities. (C) 2020 Elsevier B.V. All rights reserved.
引用
收藏
页数:5
相关论文
共 48 条
[1]   Impressions of digital soil maps: The good, the not so good, and making them ever better [J].
Arrouays, Dominique ;
McBratney, Alex ;
Bouma, Johan ;
Libohova, Zamir ;
Richer-de-Forges, Anne C. ;
Morgan, Cristine L. S. ;
Roudier, Pierre ;
Poggio, Laura ;
Mulder, Vera Leatitia .
GEODERMA REGIONAL, 2020, 20
[2]  
Arrouays Dominique, 2017, GeoResJ, V14, P1, DOI 10.1016/j.grj.2017.06.001
[3]   The potential for modelling peatland habitat condition in Scotland using long-term MODIS data [J].
Artz, Rebekka R. E. ;
Johnson, Sally ;
Bruneau, Patricia ;
Britton, Andrea J. ;
Mitchell, Ruth J. ;
Ross, Louise ;
Donaldson-Selby, Gillian ;
Donnelly, David ;
Aitkenhead, Matti ;
Gimona, Alessandro ;
Poggio, Laura .
SCIENCE OF THE TOTAL ENVIRONMENT, 2019, 660 :429-442
[4]   Using Imaging Spectroscopy to study soil properties [J].
Ben-Dor, E. ;
Chabrillat, S. ;
Dematte, J. A. M. ;
Taylor, G. R. ;
Hill, J. ;
Whiting, M. L. ;
Sommer, S. .
REMOTE SENSING OF ENVIRONMENT, 2009, 113 :S38-S55
[6]   Digital soil assessments: Beyond DSM [J].
Carre, F. ;
McBratney, Alex B. ;
Mayr, Thomas ;
Montanarella, Luca .
GEODERMA, 2007, 142 (1-2) :69-79
[7]   Evaluating the capability of the Sentinel 2 data for soil organic carbon prediction in croplands [J].
Castaldi, Fabio ;
Hueni, Andreas ;
Chabrillat, Sabine ;
Ward, Kathrin ;
Buttafuoco, Gabriele ;
Bomans, Bart ;
Vreys, Kristin ;
Brell, Maximilian ;
van Wesemael, Bas .
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2019, 147 :267-282
[8]   Soil Organic Carbon Estimation in Croplands by Hyperspectral Remote APEX Data Using the LUCAS Topsoil Database [J].
Castaldi, Fabio ;
Chabrillat, Sabine ;
Jones, Arwyn ;
Vreys, Kristin ;
Bomans, Bart ;
van Wesemael, Bas .
REMOTE SENSING, 2018, 10 (02)
[9]   Merging country, continental and global predictions of soil texture: Lessons from ensemble modelling in France [J].
Caubet, Manon ;
Dobarco, Mercedes Roman ;
Arrouays, Dominique ;
Minasny, Budiman ;
Saby, Nicolas P. A. .
GEODERMA, 2019, 337 :99-110
[10]   POLARIS Soil Properties: 30-m Probabilistic Maps of Soil Properties Over the Contiguous United States [J].
Chaney, Nathaniel W. ;
Minasny, Budiman ;
Herman, Jonathan D. ;
Nauman, Travis W. ;
Brungard, Colby W. ;
Morgan, Cristine L. S. ;
McBratney, Alexander B. ;
Wood, Eric F. ;
Yimam, Yohannes .
WATER RESOURCES RESEARCH, 2019, 55 (04) :2916-2938