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SoilGrids250m: Global gridded soil information based on machine learning

PloS one, 2017-02, Vol.12 (2), p.e0169748-e0169748

2017

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Mapping Soil Properties of Africa at 250 m Resolution: Random Forests Significantly Improve Current Predictions

PloS one, 2015-06, Vol.10 (6), p.e0125814-e0125814

2015

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Spatio-temporal prediction of daily temperatures using time-series of MODIS LST images

Theoretical and applied climatology, 2012-01, Vol.107 (1-2), p.265-277

2012

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Uncertainty of spatial averages and totals of natural resource maps

Methods in ecology and evolution, 2023-05, Vol.14 (5), p.1320-1332

2023

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Random forest as a generic framework for predictive modeling of spatial and spatio-temporal variables

PeerJ (San Francisco, CA), 2018-08, Vol.6, p.e5518-e5518, Article e5518

2018

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SoilGrids1km--global soil information based on automated mapping

PloS one, 2014-08, Vol.9 (8), p.e105992-e105992

2014

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Soil nutrient maps of Sub-Saharan Africa: assessment of soil nutrient content at 250 m spatial resolution using machine learning

Nutrient cycling in agroecosystems, 2017-09, Vol.109 (1), p.77-102

2017

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Soil resources and element stocks in drylands to face global issues

Scientific reports, 2018-09, Vol.8 (1), p.13788-8, Article 13788

2018

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Optimizing the detection of emerging infections using mobility-based spatial sampling

International journal of applied earth observation and geoinformation, 2024-07, Vol.131, p.103949, Article 103949

2024

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Importance of Terrain and Climate for Predicting Soil Organic Carbon Is Highly Variable across Local to Continental Scales

Environmental science & technology, 2024-07, Vol.58 (26), p.11492-11503

2024

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EmiStatR: A Simplified and Scalable Urban Water Quality Model for Simulation of Combined Sewer Overflows

Water (Basel), 2018-06, Vol.10 (6), p.782

2018

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Remote Sensing and Kriging with External Drift to Improve Sparse Proximal Soil Sensing Data and Define Management Zones in Precision Agriculture

AgriEngineering, 2023-12, Vol.5 (4), p.2326-2348

2023

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Impact of input data uncertainty on environmental exposure assessment models: A case study for electromagnetic field modelling from mobile phone base stations

Environmental research, 2014-11, Vol.135, p.148-155

2014

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Efficiency Comparison of Conventional and Digital Soil Mapping for Updating Soil Maps

Soil Science Society of America journal, 2012-11, Vol.76 (6), p.2097-2115

2012

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Propagation of positional error in 3D GIS: estimation of the solar irradiation of building roofs

International journal of geographical information science : IJGIS, 2015-12, Vol.29 (12), p.2269-2294

2015

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Incorporating DEM uncertainty in coastal inundation mapping

PloS one, 2014-09, Vol.9 (9), p.e108727

2014

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Geographically Weighted Area-to-Point Regression Kriging for Spatial Downscaling in Remote Sensing

Remote sensing (Basel, Switzerland), 2018-04, Vol.10 (4), p.579

2018

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Practical Implications of the Availability of Multiple Measurements to Classify Agricultural Soil Compaction: A Case-Study in The Netherlands

Agronomy (Basel), 2022-07, Vol.12 (7), p.1669

2022

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Multivariate autoregressive modelling and conditional simulation for temporal uncertainty analysis of an urban water system in Luxembourg

Hydrology and earth system sciences, 2021-01, Vol.25 (1), p.193-216

2021

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A Machine Learning-Based Geostatistical Downscaling Method for Coarse-Resolution Soil Moisture Products

IEEE journal of selected topics in applied earth observations and remote sensing, 2021, Vol.14, p.1025-1037

2021

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Upscaling In Situ Soil Moisture Observations to Pixel Averages with Spatio-Temporal Geostatistics

Remote sensing (Basel, Switzerland), 2015, Vol.7 (9), p.11372-11388

2015

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SoilGrids 2.0: producing soil information for the globe with quantified spatial uncertainty

Soil, 2021-06, Vol.7 (1), p.217-240

2021

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Effect of Land Cover Data on Nitrous Oxide Inventory in Fen Meadows

Journal of environmental quality, 2008-05, Vol.37 (3), p.1209-1219

2008

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Three-dimensional space and time mapping reveals soil organic matter decreases across anthropogenic landscapes in the Netherlands

Communications earth & environment, 2024-12, Vol.5 (1), p.130-16, Article 130

2024

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Can We Use Machine Learning for Agricultural Land Suitability Assessment?

Agronomy (Basel), 2021-04, Vol.11 (4), p.703

2021

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SoilGrids250m: Global gridded soil information based on machine learning

Mapping Soil Properties of Africa at 250 m Resolution: Random Forests Significantly Improve Current Predictions

Spatio-temporal prediction of daily temperatures using time-series of MODIS LST images

Uncertainty of spatial averages and totals of natural resource maps

Random forest as a generic framework for predictive modeling of spatial and spatio-temporal variables

SoilGrids1km--global soil information based on automated mapping

Soil nutrient maps of Sub-Saharan Africa: assessment of soil nutrient content at 250 m spatial resolution using machine learning

Soil resources and element stocks in drylands to face global issues

Optimizing the detection of emerging infections using mobility-based spatial sampling

Importance of Terrain and Climate for Predicting Soil Organic Carbon Is Highly Variable across Local to Continental Scales

EmiStatR: A Simplified and Scalable Urban Water Quality Model for Simulation of Combined Sewer Overflows

Remote Sensing and Kriging with External Drift to Improve Sparse Proximal Soil Sensing Data and Define Management Zones in Precision Agriculture

Impact of input data uncertainty on environmental exposure assessment models: A case study for electromagnetic field modelling from mobile phone base stations

Efficiency Comparison of Conventional and Digital Soil Mapping for Updating Soil Maps

Propagation of positional error in 3D GIS: estimation of the solar irradiation of building roofs

Incorporating DEM uncertainty in coastal inundation mapping

Geographically Weighted Area-to-Point Regression Kriging for Spatial Downscaling in Remote Sensing

Practical Implications of the Availability of Multiple Measurements to Classify Agricultural Soil Compaction: A Case-Study in The Netherlands

Multivariate autoregressive modelling and conditional simulation for temporal uncertainty analysis of an urban water system in Luxembourg

A Machine Learning-Based Geostatistical Downscaling Method for Coarse-Resolution Soil Moisture Products

Upscaling In Situ Soil Moisture Observations to Pixel Averages with Spatio-Temporal Geostatistics

SoilGrids 2.0: producing soil information for the globe with quantified spatial uncertainty

Effect of Land Cover Data on Nitrous Oxide Inventory in Fen Meadows

Three-dimensional space and time mapping reveals soil organic matter decreases across anthropogenic landscapes in the Netherlands

Can We Use Machine Learning for Agricultural Land Suitability Assessment?

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