Digital soil mapping and assessment for Australia and beyond: A propitious future
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John Triantafilis | Dominique Arrouays | Budiman Minasny | José Padarian | John McLean Bennett | Mike Grundy | Ross Searle | Anthony Ringrose-Voase | Darren Kidd | Craig Liddicoat | Peter Zund | Peter Wilson | Nathan Odgers | Kaitlyn Andrews | Ben Harms | Liz Stower | Brendan Malone | Brian Slater | John Wilford | Elisabeth Bui | Alexander McBratney | Uta Stockman | Dennis Van Gool | Mark Thomas | Nathan Robinson | Jim Payne | Thomas Orton | Lauren O’Brien | Edward Jones | Karen Holmes | Jonathan Gray | B. Minasny | A. McBratney | E. Bui | A. Ringrose-Voase | M. Thomas | P. Zund | J. Payne | T. Orton | N. Odgers | J. Triantafilis | K. Holmes | D. Kidd | J. Gray | B. Malone | R. Searle | M. Grundy | D. Arrouays | B. Slater | C. Liddicoat | B. Harms | N. Robinson | Edward Jones | J. Padarian | P. Wilson | D. V. Gool | J. Wilford | J. Bennett | L. O’Brien | Kaitlyn Andrews | Liz Stower | Uta Stockman
[1] Philip Weinstein,et al. Naturally-diverse airborne environmental microbial exposures modulate the gut microbiome and may provide anxiolytic benefits in mice. , 2019, The Science of the total environment.
[2] David Clifford,et al. Putting regional digital soil mapping into practice in Tropical Northern Australia , 2015 .
[3] Ian J. Yule,et al. Soil water status and water table depth modelling using electromagnetic surveys for precision irrigation scheduling , 2013 .
[4] D. R. Davis,et al. Organic Farming, Soil Health, and Food Quality: Considering Possible Links , 2016 .
[5] R. Lawson,et al. Revealing the lifestyles of local food consumers , 2012 .
[6] C. Walter,et al. Is pH increasing in the noncalcareous topsoils of France under agricultural management? A statistical framework to overcome the limitations of a soil test database , 2017 .
[7] T. Lenton,et al. Shifts in national land use and food production in Great Britain after a climate tipping point , 2020, Nature Food.
[8] Budiman Minasny,et al. Potential of integrated field spectroscopy and spatial analysis for enhanced assessment of soil contamination: A prospective review , 2015 .
[9] E. Kowalczyk,et al. The CSIRO Atmosphere Biosphere Land Exchange (CABLE) model for use in climate models and as an offline model , 2006 .
[10] A. McBratney,et al. The dimensions of soil security , 2014 .
[11] J.G.B. Leenaars,et al. WoSIS: providing standardised soil profile data for the world , 2016 .
[12] K. Gruber. Deep influence of soil microbes. , 2015, Nature plants.
[13] Luca Montanarella,et al. Digital soil assessments: Beyond DSM , 2007 .
[14] D. J. Brus,et al. Sampling for Natural Resource Monitoring , 2006 .
[15] K. Paustian,et al. Quantifying carbon for agricultural soil management: from the current status toward a global soil information system , 2019, Carbon Management.
[16] R. Webster,et al. Baseline map of organic carbon in Australian soil to support national carbon accounting and monitoring under climate change , 2014, Global Change Biology.
[17] Johan Bouma,et al. How to communicate soil expertise more effectively in the information age when aiming at the UN Sustainable Development Goals , 2019, Soil Use and Management.
[18] Elisabeth N. Bui,et al. Soil surveyor knowledge in digital soil mapping and assessment in Australia , 2020 .
[19] K. Shepherd,et al. The global Land-Potential Knowledge System (LandPKS): Supporting evidence-based, site-specific land use and management through cloud computing, mobile applications, and crowdsourcing , 2013, Journal of Soil and Water Conservation.
[20] David Gobbett,et al. Data rich yield gap analysis of wheat in Australia , 2016 .
[21] David L. Bish,et al. Field deployment of a portable X-ray diffraction/X-ray flourescence instrument on Mars analog terrain , 2005, Powder Diffraction.
[22] John Triantafilis,et al. Estimating and mapping deep drainage risk at the district level in the lower Gwydir and Macquarie valleys, Australia , 2004 .
[23] Nathan P. Odgers,et al. Spatial disaggregation of conventional soil mapping across Western Australia using DSMART , 2014 .
[24] Dominique Arrouays,et al. Digital soil mapping and GlobalSoilMap. Main advances and ways forward , 2020 .
[25] Luis Guanter,et al. From HYSOMA to ENSOMAP – A new open source tool for quantitative soil properties mapping based on hyperspectral imagery from airborne to spaceborne applications , 2016 .
[26] Alex B. McBratney,et al. A preliminary spatial quantification of the soil security dimensions for Tasmania , 2018, Geoderma.
[27] Philip Weinstein,et al. Ambient soil cation exchange capacity inversely associates with infectious and parasitic disease risk in regional Australia. , 2018, The Science of the total environment.
[28] Chris Sharman,et al. Novel Proximal Sensing for Monitoring Soil Organic C Stocks and Condition. , 2017, Environmental science & technology.
[29] Raja Majid Mehmood,et al. A Low-Cost Information Monitoring System for Smart Farming Applications , 2020, Sensors.
[30] A. H. Phulpoto,et al. Bioprospecting actinobacterial diversity antagonistic to multidrug-resistant bacteria from untapped soil resources of Kotdiji, Pakistan , 2019, Biologia.
[31] Catherine Linard,et al. Geographical random forests: a spatial extension of the random forest algorithm to address spatial heterogeneity in remote sensing and population modelling , 2019, Geocarto International.
[32] A. McBratney,et al. A new model for intra- and inter-institutional soil data sharing , 2019 .
[33] B. Iticha,et al. Digital soil mapping for site-specific management of soils , 2019, Geoderma.
[34] Constantinos A. Georgiou,et al. Multi-element and multi-isotope-ratio analysis to determine the geographical origin of foods in the European Union , 2012 .
[35] Alex B. McBratney,et al. Pedometric Treatment of Soil Attributes , 2018 .
[36] David C. Weindorf,et al. Chapter One – Advances in Portable X-ray Fluorescence (PXRF) for Environmental, Pedological, and Agronomic Applications , 2014 .
[37] B. Ellert,et al. Calculation of organic matter and nutrients stored in soils under contrasting management regimes , 1995 .
[38] L. Fleskens,et al. Investigating farmers’ preferences for alternative PES schemes for carbon sequestration in UK agroecosystems , 2017 .
[39] Dick J. Brus,et al. Sampling for digital soil mapping: A tutorial supported by R scripts , 2019, Geoderma.
[40] What we learned from the Dust Bowl: lessons in science, policy, and adaptation , 2013, Population and environment.
[41] Valerie O. Snow,et al. APSIM Next Generation: Overcoming challenges in modernising a farming systems model , 2018, Environ. Model. Softw..
[42] Afshin Ghahramani,et al. A tool for monitoring soil water using modelling, on-farm data, and mobile technology , 2018, Environ. Model. Softw..
[43] Thomas Nauss,et al. Importance of spatial predictor variable selection in machine learning applications - Moving from data reproduction to spatial prediction , 2019, Ecological Modelling.
[44] Sunil R. Das,et al. A compact multispectral image capture unit for deployment on drones , 2016, 2016 IEEE International Instrumentation and Measurement Technology Conference Proceedings.
[45] Patrick Hostert,et al. The EnMAP Spaceborne Imaging Spectroscopy Mission for Earth Observation , 2015, Remote. Sens..
[46] Paul Box,et al. A Data Specification Framework for the Foundation Spatial Data Framework , 2015 .
[47] Neville D. Crossman,et al. Supply of carbon sequestration and biodiversity services from Australia's agricultural land under global change , 2014 .
[48] L. Montanarella,et al. A linkage between the biophysical and the economic: Assessing the global market impacts of soil erosion , 2019, Land Use Policy.
[49] Budiman Minasny,et al. Digital soil assessment of agricultural suitability, versatility and capital in Tasmania, Australia , 2015 .
[50] Prabhu L Pingali,et al. Green Revolution: Impacts, limits, and the path ahead , 2012, Proceedings of the National Academy of Sciences.
[51] Gerard B. M. Heuvelink,et al. Sampling design optimization for soil mapping with random forest , 2019 .
[52] James E. Payne,et al. Pragmatic soil survey design using flexible Latin hypercube sampling , 2014, Comput. Geosci..
[53] B. Whelan,et al. Mapping the Depth-to-Soil pH Constraint, and the Relationship with Cotton and Grain Yield at the Within-Field Scale , 2019, Agronomy.
[54] P. Finke. Modeling the genesis of luvisols as a function of topographic position in loess parent material , 2011 .
[55] Reamonn Fealy,et al. Are fine resolution digital elevation models always the best choice in digital soil mapping , 2013 .
[56] Philippe C. Baveye,et al. Soil “Ecosystem” Services and Natural Capital: Critical Appraisal of Research on Uncertain Ground , 2016, Front. Environ. Sci..
[57] Budiman Minasny,et al. Estimation and potential improvement of the quality of legacy soil samples for digital soil mapping , 2007 .
[58] M. R. Tabilio,et al. Defining and Evaluating a Decision Support System (DSS) for the Precise Pest Management of the Mediterranean Fruit Fly, Ceratitis capitata, at the Farm Level , 2019, Agronomy.
[59] Lubomír Gryc,et al. Mapping of radiation anomalies using UAV mini-airborne gamma-ray spectrometry. , 2018, Journal of environmental radioactivity.
[60] A. McBratney,et al. Towards meaningful geographical indications: Validating terroirs on a 200 km2 scale in Australia's lower Hunter Valley , 2019, Geoderma Regional.
[61] Matthias Drusch,et al. Sentinel-2: ESA's Optical High-Resolution Mission for GMES Operational Services , 2012 .
[62] A. Thomson,et al. Defining Sustainability as Measurable Improvement in the Environment: Lessons from a Supply Chain Program for Agriculture in the United States , 2019, Sustainability Perspectives: Science, Policy and Practice.
[63] T. Behrens,et al. Soil bacterial abundance and diversity better explained and predicted with spectro-transfer functions , 2019, Soil Biology and Biochemistry.
[64] M. Leach,et al. Integration: the key to implementing the Sustainable Development Goals , 2016, Sustainability Science.
[65] Philippe Lagacherie,et al. Evaluating Digital Soil Mapping approaches for mapping GlobalSoilMap soil properties from legacy data in Languedoc-Roussillon (France) , 2015 .
[66] A. McBratney,et al. Soil Security for Australia , 2019, Sustainability.
[67] J. Gardner,et al. Food wedges: Framing the global food demand and supply challenge towards 2050 , 2014 .
[68] Valentina Melini,et al. Asian grain-based food products and the European scheme for food protected designations of origin: A critical analysis , 2019, Trends in Food Science & Technology.
[69] Federica Camin,et al. Food authentication: Techniques, trends & emerging approaches , 2016 .
[70] Johan Bouma,et al. Soil science contributions towards Sustainable Development Goals and their implementation: linking soil functions with ecosystem services , 2014 .
[71] François Waldner,et al. Estimating wheat yields in Australia using climate records, satellite image time series and machine learning methods , 2020 .
[72] T. Bishop,et al. Catchment-scale 3D mapping of depth to soil sodicity constraints through combining public and on-farm soil databases – A potential tool for on-farm management , 2020 .
[73] Sébastien Lambot,et al. A new drone-borne GPR for soil moisture mapping , 2019, Remote Sensing of Environment.
[74] S. Grunwald,et al. Current State of Digital Soil Mapping and What Is Next , 2010 .
[75] Marvin N. Wright,et al. SoilGrids250m: Global gridded soil information based on machine learning , 2017, PloS one.
[76] Wei Sun,et al. Dsmart: An algorithm to spatially disaggregate soil map units , 2014 .
[77] Gerard B. M. Heuvelink,et al. The GlobalSoilMap project specifications , 2014 .
[78] Alex B. McBratney,et al. Machine learning for digital soil mapping: Applications, challenges and suggested solutions , 2020 .
[79] Investigating Consumer Preference for Organic, Local, or Sustainable Plants , 2011 .
[80] Dominique Arrouays,et al. GlobalSoilMap France: High-resolution spatial modelling the soils of France up to two meter depth. , 2016, The Science of the total environment.
[81] Himadri Nath Saha,et al. IOT-based drone for improvement of crop quality in agricultural field , 2018, 2018 IEEE 8th Annual Computing and Communication Workshop and Conference (CCWC).
[82] P.A.L. Le Roux,et al. Functional digital soil mapping: A case study from Namarroi, Mozambique☆ , 2014 .
[83] M. Schloter,et al. Identification of new microbial functional standards for soil quality assessment , 2020 .
[84] Budiman Minasny,et al. Methodologies for Global Soil Mapping , 2010 .
[85] Wenze Yang,et al. Drought and food security prediction from NOAA new generation of operational satellites , 2019, Geomatics, Natural Hazards and Risk.
[86] Luca Montanarella,et al. Global soil organic carbon assessment , 2015 .
[87] Luk Peeters,et al. Emulation Engines: Choice and Quantification of Uncertainty for Complex Hydrological Models , 2018 .
[88] Michael Schmidt,et al. A Paddock to reef monitoring and modelling framework for the Great Barrier Reef: Paddock and catchment component. , 2012, Marine pollution bulletin.
[89] David Clifford,et al. Digital soil assessment for regional agricultural land evaluation , 2015 .
[90] Budiman Minasny,et al. Operational sampling challenges to digital soil mapping in Tasmania, Australia , 2015 .
[91] Benjamin E. Barrowes,et al. Assessing the Frozen State of Soils Using iFrost: An Electromagnetic Induction Sensor on a UAS Platform , 2019, Cold Regions Engineering 2019.
[92] Mike Grundy,et al. Soil and landscape grid of Australia. , 2015 .
[93] B. Minasny,et al. A quantitative model for integrating landscape evolution and soil formation , 2013 .
[94] R. Bartley,et al. Development of a time-stepping sediment budget model for assessing land use impacts in large river basins. , 2014, The Science of the total environment.
[95] Budiman Minasny,et al. Multi-source data integration for soil mapping using deep learning , 2018, SOIL.
[96] Thomas F. A. Bishop,et al. Change in Soil Organic Carbon Stocks under 12 Climate Change Projections over New South Wales, Australia , 2016 .
[97] Indra Abeysekera. A Template for Integrated Reporting , 2013 .
[98] Budiman Minasny,et al. Using deep learning for digital soil mapping , 2018, SOIL.
[99] T. Bishop,et al. A space-time observation system for soil moisture in agricultural landscapes , 2019, Geoderma.
[100] Budiman Minasny,et al. Farm-Scale Soil Carbon Auditing , 2016 .
[101] Mike Grundy,et al. Guidelines for Surveying Soil and Land Resources , 2008 .
[102] Deon van der Merwe,et al. Drones in agriculture , 2020, Advances in Agronomy.
[103] Alex B. McBratney,et al. Operationalising digital soil mapping – Lessons from Australia , 2020, Geoderma Regional.
[104] Kilian Vos,et al. Shoreline change mapping using crowd-sourced smartphone images , 2019, Coastal Engineering.
[105] L. Montanarella,et al. Soil natural capital in europe; a framework for state and change assessment , 2017, Scientific Reports.
[106] Reiner Anderl,et al. Digital twin – Proof of concept , 2018 .
[107] Peter Bartelmus,et al. SEEA-2003: Accounting for sustainable development? , 2007 .
[108] Ross Searle. The Australian site data collation to support the GlobalSoilMap , 2014 .
[109] Budiman Minasny,et al. Pedology and digital soil mapping (DSM) , 2019, European Journal of Soil Science.
[110] D. Holzworth,et al. Re-inventing model-based decision support with Australian dryland farmers. 4. Yield Prophet® helps farmers monitor and manage crops in a variable climate. , 2009 .
[111] Christopher K. Wikle,et al. Deep echo state networks with uncertainty quantification for spatio‐temporal forecasting , 2018, Environmetrics.
[112] E. Bui,et al. Modelling the abundance of soil calcium carbonate across Australia using geochemical survey data and environmental predictors , 2015 .
[113] Nathan E. Owen,et al. Impact of land use on water resources via a Gaussian process emulator with dimension reduction , 2019 .
[114] Alfred E. Hartemink,et al. Linking soils to ecosystem services — A global review , 2016 .
[115] W. J. Young,et al. Large-scale patterns of erosion and sediment transport in river networks, with examples from Australia , 2001 .