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The Australian three-dimensional soil grid: Australia’s contribution to the GlobalSoilMap project

R. A. Viscarra Rossel A F , C. Chen A , M. J. Grundy B , R. Searle C , D. Clifford D and P. H. Campbell E
+ Author Affiliations
- Author Affiliations

A CSIRO Land and Water, PO Box 1666, Canberra, ACT 2601, Australia.

B CSIRO Agriculture, Queensland Biosciences Precinct, 306 Carmody Rd, St Lucia, QLD 4067, Australia.

C CSIRO Land and Water, Ecosciences Precinct, GPO Box 2583, Brisbane, Qld 4001, Australia.

D CSIRO Digital Productivity, Ecosciences Precinct, GPO Box 2583, Brisbane, Qld 4001, Australia.

E CSIRO Information Management & Technology, GPO Box 1538, Hobart, Tas. 7001, Australia.

F Corresponding author. Email: raphael.viscarra-rossel@csiro.au

Soil Research 53(8) 845-864 https://doi.org/10.1071/SR14366
Submitted: 14 December 2014  Accepted: 4 June 2015   Published: 25 September 2015



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Fahey Patrick S., Fowler Rachael M., McLay Todd G. B., Udovicic Frank, Cantrill David J., Bayly Michael J.
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Bush Alex, Catullo Renee, Mokany Karel, Harwood Tom, Hoskins Andrew J., Ferrier Simon, Algar Adam
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Earth-Science Reviews. 2016 155 p.198
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Liu Feng, Zhang Gan-Lin, Song Xiaodong, Li Decheng, Zhao Yuguo, Yang Jinling, Wu Huayong, Yang Fei
Geoderma. 2020 361 p.114061
Comparison of regression methods for spatial downscaling of soil organic carbon stocks maps
Roudier P., Malone B.P., Hedley C.B., Minasny B., McBratney A.B.
Computers and Electronics in Agriculture. 2017 142 p.91
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Reddy Nagarjuna N., Das Bhabani S.
Geoderma. 2023 429 p.116265
Digital soil survey and mapping underpinning inherent and dynamic soil attribute condition assessments
Malone Brendan, Stockmann Uta, Glover Mark, McLachlan Gordan, Engelhardt Sophia, Tuomi Seija
Soil Security. 2022 6 p.100048
Multiscale contextual spatial modelling with the Gaussian scale space
Behrens T., Schmidt K., MacMillan R.A., Viscarra Rossel R.A.
Geoderma. 2018 310 p.128
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Esfandiarpour-Boroujeni I., Shahini-Shamsabadi M., Shirani H., Mosleh Z., Bagheri-Bodaghabadi M., Salehi M.H.
CATENA. 2020 193 p.104648
RETRACTED: A systematic review on climate change and geo‐environmental factors induced land degradation: Processes, policy‐practice gap and its management strategies
Roy Paramita, Pal Subodh Chandra, Chakrabortty Rabin, Saha Asish, Chowdhuri Indrajit
Geological Journal. 2023 58(9). p.3487
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Geoderma. 2023 439 p.116651
Relative prediction intervals reveal larger uncertainty in 3D approaches to predictive digital soil mapping of soil properties with legacy data
Nauman Travis W., Duniway Michael C.
Geoderma. 2019 347 p.170
Derivation of soil-attribute estimations from legacy soil maps
Odgers Nathan P., Holmes Karen W., Griffin Ted, Liddicoat Craig
Soil Research. 2015 53(8). p.881
Salinity Yield Modeling of the Upper Colorado River Basin Using 30‐m Resolution Soil Maps and Random Forests
Nauman Travis W., Ely Christopher P., Miller Matthew P., Duniway Michael C.
Water Resources Research. 2019 55(6). p.4954
Summer egg diapause in a matchstick grasshopper synchronizes the life cycle and buffers thermal extremes
KEARNEY Michael R., DEUTSCHER John, KONG Jacinta D., HOFFMANN Ary A.
Integrative Zoology. 2018 13(4). p.437
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Behrens T., Schmidt K., Viscarra Rossel R. A., Gries P., Scholten T., MacMillan R. A.
European Journal of Soil Science. 2018 69(5). p.757
Accuracy and uncertainty of geostatistical models versus machine learning for digital mapping of soil calcium and potassium
Sharififar Amin
Environmental Monitoring and Assessment. 2022 194(10).
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Padarian J., Minasny B., McBratney A.B.
Geoderma Regional. 2017 9 p.17
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Djagba Justin Fagnombo, Johnson Jean-Martial, Saito Kazuki
Geoderma Regional. 2022 30 p.e00563
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Wadoux Alexandre M. J-C., Román Dobarco Mercedes, Malone Brendan, Minasny Budiman, McBratney Alex B., Searle Ross
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Filippi Patrick, Whelan Brett M., Bishop Thomas Francis Aloysious
SSRN Electronic Journal . 2022
Biodiversity analysis in the digital era
La Salle John, Williams Kristen J., Moritz Craig
Philosophical Transactions of the Royal Society B: Biological Sciences. 2016 371(1702). p.20150337
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Xie Modian, Li Hongyi, Zhu Youwei, Xue Jie, You Qihao, Jin Bin, Shi Zhou
Land. 2021 10(6). p.558
MicroclimOz – A microclimate data set for Australia, with example applications
Kearney Michael R.
Austral Ecology. 2019 44(3). p.534
A warming climate will make Australian soil a net emitter of atmospheric CO2
Viscarra Rossel R. A., Zhang M., Behrens T., Webster R.
npj Climate and Atmospheric Science. 2024 7(1).
Field‐scale digital soil mapping of clay: Combining different proximal sensed data and comparing various statistical models
Arshad Maryem, Li Nan, Bella Lawrence Di., Triantafilis John
Soil Science Society of America Journal. 2020 84(2). p.314
Digital soil mapping algorithms and covariates for soil organic carbon mapping and their implications: A review
Lamichhane Sushil, Kumar Lalit, Wilson Brian
Geoderma. 2019 352 p.395
Estimating soil fungal abundance and diversity at a macroecological scale with deep learning spectrotransfer functions
Yang Yuanyuan, Shen Zefang, Bissett Andrew, Viscarra Rossel Raphael A.
SOIL. 2022 8(1). p.223
Soils2026 and digital soil mapping – A foundation for the future of soils information in the United States
Thompson James A., Kienast-Brown Suzann, D'Avello Tom, Philippe Jessica, Brungard Colby
Geoderma Regional. 2020 22 p.e00294
Predicting and Mapping of Soil Hydraulic Properties in Karnataka
Dharumarajan S., Hegde Rajendra, Lalitha M., Vasundhara R.
Journal of the Indian Society of Remote Sensing. 2021 49(7). p.1623
Comparison of catchment scale 3D and 2.5D modelling of soil organic carbon stocks in Jiangxi Province, PR China
Rentschler Tobias, Gries Philipp, Behrens Thorsten, Bruelheide Helge, Kühn Peter, Seitz Steffen, Shi Xuezheng, Trogisch Stefan, Scholten Thomas, Schmidt Karsten, Minasny Budiman
PLOS ONE. 2019 14(8). p.e0220881
Assessing the response of soil carbon in Australia to changing inputs and climate using a consistent modelling framework
Lee Juhwan, Viscarra Rossel Raphael A., Zhang Mingxi, Luo Zhongkui, Wang Ying-Ping
Biogeosciences. 2021 18(18). p.5185
THE GLOBALSOILMAP PROJECT: PAST, PRESENT, FUTURE, AND NATIONAL EXAMPLES FROM FRANCE
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.
Dokuchaev Soil Bulletin. 2018 (95). p.3
Stocktaking the environmental coverage of a continental ecosystem observation network
Guerin Greg R., Williams Kristen J., Sparrow Ben, Lowe Andrew J.
Ecosphere. 2020 11(12).
Combining two soil property rasters using an adaptive gating approach
Clifford David, Guo Yi
Soil Research. 2015 53(8). p.907
Model prediction of depth-specific soil texture distributions with artificial neural network: A case study in Yunfu, a typical area of Udults Zone, South China
Ding Xiaogang, Zhao Zhengyong, Yang Qi, Chen Lina, Tian Qiuyan, Li Xiaochuan, Meng Fan-Rui
Computers and Electronics in Agriculture. 2020 169 p.105217
SABER: A Model-Agnostic Postprocessor for Bias Correcting Discharge from Large Hydrologic Models
Hales Riley C., Sowby Robert B., Williams Gustavious P., Nelson E. James, Ames Daniel P., Dundas Jonah B., Ogden Josh
Hydrology. 2022 9(7). p.113
Using deep learning for multivariate mapping of soil with quantified uncertainty
Wadoux Alexandre M.J.-C.
Geoderma. 2019 351 p.59
High-resolution agriculture soil property maps from digital soil mapping methods, Czech Republic
Žížala Daniel, Minařík Robert, Skála Jan, Beitlerová Hana, Juřicová Anna, Reyes Rojas Jessica, Penížek Vít, Zádorová Tereza
CATENA. 2022 212 p.106024
High‐resolution mapping of rabbit (Oryctolagus cuniculus) densities for targeted conservation management
Jansen Jeroen, Jansen Jan, Dean Abbey T., Brandle Robert, Peacock David E., Jones Menna E.
Journal of Applied Ecology. 2023 60(12). p.2602
Derivation of terrain covariates for digital soil mapping in Australia
Gallant John C., Austin Jenet M.
Soil Research. 2015 53(8). p.895
How much organic carbon could the soil store? The carbon sequestration potential of Australian soil
Viscarra Rossel R. A., Webster R., Zhang M., Shen Z., Dixon K., Wang Y.‐P., Walden L.
Global Change Biology. 2024 30(1).
Climatic and edaphic gradients predict variation in wildland fuel hazard in south‐eastern Australia
McColl‐Gausden S. C., Bennett L. T., Duff T. J., Cawson J. G., Penman T. D.
Ecography. 2020 43(3). p.443
Modelling of soil depth and hydraulic properties at regional level using environmental covariates- A case study in India
Dharumarajan S., Hegde Rajendra, Lalitha M.
Geoderma Regional. 2021 27 p.e00439
Digital soil mapping of coarse fragments in southwest Australia: Targeting simple features yields detailed maps
Holmes Karen W., Griffin Edward A., van Gool Dennis
Geoderma. 2021 404 p.115282
CLSoilMaps: A national soil gridded database of physical and hydraulic soil properties for Chile
Dinamarca Diego I., Galleguillos Mauricio, Seguel Oscar, Faúndez Urbina Carlos
Scientific Data. 2023 10(1).
Diffuse reflectance spectroscopy for estimating soil properties: A technology for the 21st century
Viscarra Rossel Raphael A., Behrens Thorsten, Ben‐Dor Eyal, Chabrillat Sabine, Demattê José Alexandre Melo, Ge Yufeng, Gomez Cecile, Guerrero César, Peng Yi, Ramirez‐Lopez Leonardo, Shi Zhou, Stenberg Bo, Webster Richard, Winowiecki Leigh, Shen Zefang
European Journal of Soil Science. 2022 73(4).
Proximal and remote sensing – what makes the best farm digital soil maps?
Filippi Patrick, Whelan Brett M., Bishop Thomas F. A., Mouazen Abdul
Soil Research. 2024 62(2).
Modeling Catchment-Scale Nitrogen Losses Across a Land-Use Gradient in the Subtropics
Hajati Mithra-Christin, White Shane, Moosdorf Nils, Santos Isaac R.
Frontiers in Earth Science. 2020 8
Hydrologic connectivity drives extremes and high variability in vegetation productivity across Australian arid and semi-arid ecosystems
Norton Alexander J., Rayner Peter J., Wang Ying-Ping, Parazoo Nicholas C., Baskaran Latha, Briggs Peter R., Haverd Vanessa, Doughty Russell
Remote Sensing of Environment. 2022 272 p.112937
Comparison of various uncertainty modelling approaches based on geostatistics and machine learning algorithms
Szatmári Gábor, Pásztor László
Geoderma. 2019 337 p.1329
Selecting optimal calibration samples using proximal sensing EM induction and γ-ray spectrometry data: An application to managing lime and magnesium in sugarcane growing soil
Wang Jie, Zhao Xueyu, Zhao Dongxue, Triantafilis John
Journal of Environmental Management. 2021 296 p.113357
Whole‐landscape modelling of compositional turnover in aquatic invertebrates informs conservation gap analysis: An example from south‐western Australia
Pennifold Melita G., Williams Kristen J., Pinder Adrian M., Harwood Thomas D., Manion Glenn, Ferrier Simon
Freshwater Biology. 2017 62(8). p.1359
Machine learning for digital soil mapping: Applications, challenges and suggested solutions
Wadoux Alexandre M.J.-C., Minasny Budiman, McBratney Alex B.
Earth-Science Reviews. 2020 210 p.103359
Comparing machine learning algorithms for predicting and digitally mapping surface soil available phosphorous: a case study from southwestern Iran
Hojati Saeid, Biswas Asim, Norouzi Masir Mojtaba
Precision Agriculture. 2024 25(2). p.914
Exploratory Analysis of Driving Force of Wildfires in Australia: An Application of Machine Learning within Google Earth Engine
Sulova Andrea, Jokar Arsanjani Jamal
Remote Sensing. 2020 13(1). p.10
Exploring the Potential of vis-NIR Spectroscopy as a Covariate in Soil Organic Matter Mapping
Yang Meihua, Chen Songchao, Guo Xi, Shi Zhou, Zhao Xiaomin
Remote Sensing. 2023 15(6). p.1617
A new detailed map of total phosphorus stocks in Australian soil
Viscarra Rossel Raphael A., Bui Elisabeth N.
Science of The Total Environment. 2016 542 p.1040
A box on the river: The phylogenetics and phylogeography of Eucalyptus baueriana (Eucalyptus sect. Adnataria ser. Heterophloiae)
Fahey Patrick S., Udovicic Frank, Cantrill David J., Bayly Michael J., Meegaskumbura Madhava
PLOS ONE. 2022 17(11). p.e0276117
The 3D distribution of phyllosilicate clay minerals in western Victoria
Robinson Nathan J., Kitching Matt
Geoderma. 2016 284 p.152
Prediction of topsoil texture for Region Centre (France) applying model ensemble methods
Román Dobarco Mercedes, Arrouays Dominique, Lagacherie Philippe, Ciampalini Rossano, Saby Nicolas P.A.
Geoderma. 2017 298 p.67
The potential for enhancing soil carbon levels through the use of organic soil amendments in Queensland, Australia
Biala Johannes, Wilkinson Kevin, Henry Beverley, Singh Shweta, Bennett-Jones Joshua, De Rosa Daniele
Regional Environmental Change. 2021 21(4).
The National Geochemical Survey of Australia: review and impact
Caritat Patrice de
Geochemistry: Exploration, Environment, Analysis. 2022 22(4).
Patterns and drivers of plant diversity across Australia
Mokany Karel, McCarthy James K., Falster Daniel S., Gallagher Rachael V., Harwood Thomas D., Kooyman Robert, Westoby Mark
Ecography. 2022 2022(11).
Dynamic Modelling of Water and Wind Erosion in Australia over the Past Two Decades
Zhang Mingxi, Viscarra Rossel Raphael A., Zhu Qinggaozi, Leys John, Gray Jonathan M., Yu Qiang, Yang Xihua
Remote Sensing. 2022 14(21). p.5437
Predicting soil properties in 3D: Should depth be a covariate?
Ma Yuxin, Minasny Budiman, McBratney Alex, Poggio Laura, Fajardo Mario
Geoderma. 2021 383 p.114794
Past, present and future refugia for Tasmania's palaeoendemic flora
Mokany Karel, Jordan Greg J., Harwood Thomas D., Harrison Peter A., Keppel Gunnar, Gilfedder Louise, Carter Oberon, Ferrier Simon
Journal of Biogeography. 2017 44(7). p.1537
Particle Size Distribution and Depth to Bedrock of Chinese Cultivated Soils: Implications for Soil Classification and Management
Zhao Xiaoning, He Wei, Xue Lihua, Chen Feng, Jia Pingping, Hu Yi, Zamanian Kazem
Agronomy. 2023 13(5). p.1248
Estimating catchment scale soil moisture at a high spatial resolution: Integrating remote sensing and machine learning
Senanayake I.P., Yeo I.-Y., Walker J.P., Willgoose G.R.
Science of The Total Environment. 2021 776 p.145924
Up-Scaling Fuel Hazard Metrics Derived from Terrestrial Laser Scanning Using a Machine Learning Model
Taneja Ritu, Wallace Luke, Hillman Samuel, Reinke Karin, Hilton James, Jones Simon, Hally Bryan
Remote Sensing. 2023 15(5). p.1273
Evaluation of digital soil mapping approaches with large sets of environmental covariates
Nussbaum Madlene, Spiess Kay, Baltensweiler Andri, Grob Urs, Keller Armin, Greiner Lucie, Schaepman Michael E., Papritz Andreas
SOIL. 2018 4(1). p.1
Modeling the spatial variation of calcium carbonate equivalent to depth using machine learning techniques
Lotfollahi Leila, Delavar Mohammad Amir, Biswas Asim, Jamshidi Mohammad, Taghizadeh-Mehrjardi Ruhollah
Environmental Monitoring and Assessment. 2023 195(5).
A hybrid approach for predictive soil property mapping using conventional soil survey data
Nauman Travis W., Duniway Michael C.
Soil Science Society of America Journal. 2020 84(4). p.1170
Data Science Applied to Sustainability Analysis (2021)
Bui Elisabeth N.
Characterisation of Hydrological Response to Rainfall at Multi Spatio-Temporal Scales in Savannas of Semi-Arid Australia
Jarihani Ben, Sidle Roy, Bartley Rebecca, Roth Christian, Wilkinson Scott
Water. 2017 9(7). p.540
Updating the Australian digital soil texture mapping (Part 2
Malone Brendan, Searle Ross
Soil Research. 2021 59(5). p.435
Assimilating satellite imagery and visible–near infrared spectroscopy to model and map soil loss by water erosion in Australia
Teng Hongfen, Viscarra Rossel Raphael A., Shi Zhou, Behrens Thorsten, Chappell Adrian, Bui Elisabeth
Environmental Modelling & Software. 2016 77 p.156
Mapping of soil properties at high resolution in Switzerland using boosted geoadditive models
Nussbaum Madlene, Walthert Lorenz, Fraefel Marielle, Greiner Lucie, Papritz Andreas
SOIL. 2017 3(4). p.191
A review of the global soil property maps for Earth system models
Dai Yongjiu, Shangguan Wei, Wei Nan, Xin Qinchuan, Yuan Hua, Zhang Shupeng, Liu Shaofeng, Lu Xingjie, Wang Dagang, Yan Fapeng
SOIL. 2019 5(2). p.137
Improvements to the Australian national soil thickness map using an integrated data mining approach
Malone Brendan, Searle Ross
Geoderma. 2020 377 p.114579
Mapping soil organic carbon fractions for Australia, their stocks, and uncertainty
Román Dobarco Mercedes, Wadoux Alexandre M. J-C., Malone Brendan, Minasny Budiman, McBratney Alex B., Searle Ross
Biogeosciences. 2023 20(8). p.1559
High-Resolution Soil Property Maps from Digital Soil Mapping Methods, Czech Republic
Žížala Daniel, Minařík Robert, Beitlerová Hana, Juřicová Anna, Skála Jan, Rojas Jessica Reyes, Penížek Vít, Zádorová Tereza
SSRN Electronic Journal . 2021
Soil Texture and Its Relationship with Environmental Factors on the Qinghai–Tibet Plateau
Liu Yadong, Wu Xiaodong, Wu Tonghua, Zhao Lin, Li Ren, Li Wangping, Hu Guojie, Zou Defu, Ni Jie, Du Yizhen, Wang Mengjuan, Li Zhihong, Wei Xianhua, Yan Xuchun
Remote Sensing. 2022 14(15). p.3797
Improving spatial predictions of Eucalypt plantation growth by combining interpretable machine learning with the 3-PG model
Taylor Peter, Almeida Auro C., Kemmerer Ernst, Abreu Rafael Olivares de Salles
Frontiers in Forests and Global Change. 2023 6
Developing spatial model to assess agro-ecological zones for sustainable agriculture development in MENA region: Case study Northern Western Coast, Egypt
Amin Mohamed E.S., Mohamed E.S., Belal A.A., Jalhoum Mohamed E.M., Abdellatif Mostafa A., Nady Dina, Ali Abdelraouf M., Mahmoud Ali G.
The Egyptian Journal of Remote Sensing and Space Science. 2022 25(1). p.301
A cost-effective approach to estimate plant available water capacity
Gajurel Suman, Lai Yunru, Lobsey Craig, Pembleton Keith G.
Geoderma. 2024 442 p.116794
Using R for Digital Soil Mapping (2017)
Malone Brendan P., Minasny Budiman, McBratney Alex B.
Ten challenges for the future of pedometrics
Wadoux Alexandre M.J.-C., Heuvelink Gerard B.M., Lark R. Murray, Lagacherie Philippe, Bouma Johan, Mulder Vera L., Libohova Zamir, Yang Lin, McBratney Alex B.
Geoderma. 2021 401 p.115155
Mapping soil hydraulic properties using random-forest-based pedotransfer functions and geostatistics
Szabó Brigitta, Szatmári Gábor, Takács Katalin, Laborczi Annamária, Makó András, Rajkai Kálmán, Pásztor László
Hydrology and Earth System Sciences. 2019 23(6). p.2615
Machine learning based soil maps for a wide range of soil properties for the forested area of Switzerland
Baltensweiler Andri, Walthert Lorenz, Hanewinkel Marc, Zimmermann Stephan, Nussbaum Madlene
Geoderma Regional. 2021 27 p.e00437
Merging country, continental and global predictions of soil texture: Lessons from ensemble modelling in France
Caubet Manon, Román Dobarco Mercedes, Arrouays Dominique, Minasny Budiman, Saby Nicolas P.A.
Geoderma. 2019 337 p.99
Tier 4 maps of soil pH at 25 m resolution for the Netherlands
Helfenstein Anatol, Mulder Vera L., Heuvelink Gerard B.M., Okx Joop P.
Geoderma. 2022 410 p.115659
Phylogeny is a powerful tool for predicting plant biomass responses to nitrogen enrichment
Wooliver Rachel C., Marion Zachary H., Peterson Christopher R., Potts Brad M., Senior John K., Bailey Joseph K., Schweitzer Jennifer A.
Ecology. 2017 98(8). p.2120
Digital soil assessment delivers impact across scales in Australia and the Philippines
Grundy Michael J., Searle Ross, Meier Elizabeth A., Ringrose-Voase Anthony J., Kidd Darren, Orton Thomas G., Triantafilis John, Philip Seonaid, Liddicoat Craig, Malone Brendan, Thomas Mark, Gray Jonathan, Bennett John McLean
Geoderma Regional. 2020 22 p.e00314
Disaggregating satellite soil moisture products based on soil thermal inertia: A comparison of a downscaling model built at two spatial scales
Senanayake I.P., Yeo I.-Y., Willgoose G.R., Hancock G.R.
Journal of Hydrology. 2021 594 p.125894
Assessing soil organic carbon stock of Wisconsin, USA and its fate under future land use and climate change
Adhikari Kabindra, Owens Phillip R., Libohova Zamir, Miller David M., Wills Skye A., Nemecek Jason
Science of The Total Environment. 2019 667 p.833
Soil sensing: A new paradigm for agriculture
Viscarra Rossel Raphael A., Bouma Johan
Agricultural Systems. 2016 148 p.71
Fire, drought and productivity as drivers of dead wood biomass in eucalypt forests of south-eastern Australia
Burton Jamie E., Bennett Lauren T., Kasel Sabine, Nitschke Craig R., Tanase Mihai A., Fairman Thomas A., Parker Linda, Fedrigo Melissa, Aponte Cristina
Forest Ecology and Management. 2021 482 p.118859
Soil bacterial abundance and diversity better explained and predicted with spectro-transfer functions
Yang Yuanyuan, Viscarra Rossel Raphael A., Li Shuo, Bissett Andrew, Lee Juhwan, Shi Zhou, Behrens Thorsten, Court Leon
Soil Biology and Biochemistry. 2019 129 p.29
Evaluating the spatial and vertical distribution of agriculturally important nutrients — nitrogen, phosphorous and boron — in North West Iran
Shahbazi Farzin, Hughes Philip, McBratney Alex B., Minasny Budiman, Malone Brendan P.
CATENA. 2019 173 p.71
Horizontal and vertical variation of soil clay content and its controlling factors in China
Zhang Xin, Zhang Wei-Chun, Wu Wei, Liu Hong-Bin
Science of The Total Environment. 2023 864 p.161141
The fuel–climate–fire conundrum: How will fire regimes change in temperate eucalypt forests under climate change?
McColl‐Gausden Sarah C., Bennett Lauren T., Clarke Hamish G., Ababei Dan A., Penman Trent D.
Global Change Biology. 2022 28(17). p.5211
Evolving thermal thresholds explain the distribution of temperature sex reversal in an Australian dragon lizard
Castelli Meghan A., Georges Arthur, Cherryh Caitlin, Rosauer Dan F., Sarre Stephen D., Contador‐Kelsall Isabella, Holleley Clare E., Dong Yunwei
Diversity and Distributions. 2021 27(3). p.427
A regolith depth map of the Australian continent
Wilford J.R., Searle R., Thomas M., Pagendam D., Grundy M.J.
Geoderma. 2016 266 p.1
Integrating additional spectroscopically inferred soil data improves the accuracy of digital soil mapping
Chen Songchao, Saby Nicolas P.A., Martin Manuel P., Barthès Bernard G., Gomez Cécile, Shi Zhou, Arrouays Dominique
Geoderma. 2023 433 p.116467
Predictive mapping of soil organic carbon stocks in South Australia’s agricultural zone
Liddicoat Craig, Maschmedt David, Clifford David, Searle Ross, Herrmann Tim, Macdonald Lynne M., Baldock Jeff
Soil Research. 2015 53(8). p.956
Rediscovering wild food to diversify production across Australia's agricultural landscapes
Canning Adam D.
Frontiers in Sustainable Food Systems. 2022 6
Geographically Optimal Similarity
Song Yongze
Mathematical Geosciences. 2023 55(3). p.295
Estimating Canopy Gap Fraction Using ICESat GLAS within Australian Forest Ecosystems
Mahoney Craig, Hopkinson Chris, Kljun Natascha, van Gorsel Eva
Remote Sensing. 2017 9(1). p.59
National Scale 3D Mapping of Soil pH Using a Data Augmentation Approach
Roudier Pierre, Burge Olivia R., Richardson Sarah J., McCarthy James K., Grealish Gerard J., Ausseil Anne-Gaelle
Remote Sensing. 2020 12(18). p.2872
Predicting within‐field cotton yields using publicly available datasets and machine learning
Leo Stephen, De Antoni Migliorati Massimiliano, Grace Peter R.
Agronomy Journal. 2021 113(2). p.1150
Mapping high resolution National Soil Information Grids of China
Liu Feng, Wu Huayong, Zhao Yuguo, Li Decheng, Yang Jin-Ling, Song Xiaodong, Shi Zhou, Zhu A-Xing, Zhang Gan-Lin
Science Bulletin. 2022 67(3). p.328
Updating a national soil classification with spectroscopic predictions and digital soil mapping
Teng Hongfen, Viscarra Rossel Raphael A., Shi Zhou, Behrens Thorsten
CATENA. 2018 164 p.125
Climate more important than soils for predicting forest biomass at the continental scale
Bennett Alison C., Penman Trent D., Arndt Stefan K., Roxburgh Stephen H., Bennett Lauren T.
Ecography. 2020 43(11). p.1692
GlobalSoilMap France: High-resolution spatial modelling the soils of France up to two meter depth
Mulder V.L., Lacoste M., Richer-de-Forges A.C., Arrouays D.
Science of The Total Environment. 2016 573 p.1352
Comparison of soil texture maps synthetized from standard depth layers with directly compiled products
Laborczi Annamária, Szatmári Gábor, Kaposi András Dezső, Pásztor László
Geoderma. 2019 352 p.360
Refining benchmarks for soil organic carbon in Australia’s temperate forests
Bennett Lauren T., Hinko-Najera Nina, Aponte Cristina, Nitschke Craig R., Fairman Thomas A., Fedrigo Melissa, Kasel Sabine
Geoderma. 2020 368 p.114246
Multi-property digital soil mapping at 30-m spatial resolution down to 1 m using extreme gradient boosting tree model and environmental covariates
Rahbar Alam Shirazi Fatemeh, Shahbazi Farzin, Rezaei Hossein, Biswas Asim
Remote Sensing Applications: Society and Environment. 2024 33 p.101123
Climate change shifts forward flowering and reduces crop waterlogging stress
Liu Ke, Harrison Matthew Tom, Archontoulis Sotirios V, Huth Neil, Yang Rui, Liu De Li, Yan Haoliang, Meinke Holger, Huber Isaiah, Feng Puyu, Ibrahim Ahmed, Zhang Yunbo, Tian Xiaohai, Zhou Meixue
Environmental Research Letters. 2021 16(9). p.094017
The value of remotely sensed surface soil moisture for model calibration using SWAT
Kundu Dipangkar, Vervoort R. Willem, van Ogtrop Floris F.
Hydrological Processes. 2017 31(15). p.2764

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