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Selection: Heuvelink:GBM [5 articles] 

Publications by author Heuvelink:GBM.
 

SoilGrids250m: Global gridded soil information based on machine learning

  
PLOS ONE, Vol. 12, No. 2. (16 February 2017), e0169748, https://doi.org/10.1371/journal.pone.0169748

Abstract

This paper describes the technical development and accuracy assessment of the most recent and improved version of the SoilGrids system at 250m resolution (June 2016 update). SoilGrids provides global predictions for standard numeric soil properties (organic carbon, bulk density, Cation Exchange Capacity (CEC), pH, soil texture fractions and coarse fragments) at seven standard depths (0, 5, 15, 30, 60, 100 and 200 cm), in addition to predictions of depth to bedrock and distribution of soil classes based on the World Reference ...

 

SoilGrids1km - Global soil information based on automated mapping

  
PLOS ONE, Vol. 9, No. 8. (29 August 2014), e105992, https://doi.org/10.1371/journal.pone.0105992

Abstract

Soils are widely recognized as a non-renewable natural resource and as biophysical carbon sinks. As such, there is a growing requirement for global soil information. Although several global soil information systems already exist, these tend to suffer from inconsistencies and limited spatial detail. We present SoilGrids1km â a global 3D soil information system at 1 km resolution â containing spatial predictions for a selection of soil properties (at six standard depths): soil organic carbon (g kgâ1), soil pH, sand, silt and ...

 

An integrated pan-tropical biomass map using multiple reference datasets

  
Global Change Biology, Vol. 22, No. 4. (April 2016), pp. 1406-1420, https://doi.org/10.1111/gcb.13139

Abstract

We combined two existing datasets of vegetation aboveground biomass (AGB) (Proceedings of the National Academy of Sciences of the United States of America, 108, 2011, 9899; Nature Climate Change, 2, 2012, 182) into a pan-tropical AGB map at 1-km resolution using an independent reference dataset of field observations and locally calibrated high-resolution biomass maps, harmonized and upscaled to 14 477 1-km AGB estimates. Our data fusion approach uses bias removal and weighted linear averaging that incorporates and spatializes the biomass patterns ...

 

Spatio-temporal interpolation of daily temperatures for global land areas at 1 km resolution

  
Journal of Geophysical Research: Atmospheres, Vol. 119, No. 5. (16 March 2014), pp. 2294-2313, https://doi.org/10.1002/2013jd020803

Abstract

Combined Global Surface Summary of Day and European Climate Assessment and Dataset daily meteorological data sets (around 9000 stations) were used to build spatio-temporal geostatistical models and predict daily air temperature at ground resolution of 1 km for the global land mass. Predictions in space and time were made for the mean, maximum, and minimum temperatures using spatio-temporal regression-kriging with a time series of Moderate Resolution Imaging Spectroradiometer (MODIS) 8 day images, topographic layers (digital elevation model and topographic wetness index), and ...

 

Managing uncertainty in integrated environmental modelling: The UncertWeb framework

  
Environmental Modelling & Software, Vol. 39 (January 2013), pp. 116-134, https://doi.org/10.1016/j.envsoft.2012.02.008

Abstract

Web-based distributed modelling architectures are gaining increasing recognition as potentially useful tools to build holistic environmental models, combining individual components in complex workflows. However, existing web-based modelling frameworks currently offer no support for managing uncertainty. On the other hand, the rich array of modelling frameworks and simulation tools which support uncertainty propagation in complex and chained models typically lack the benefits of web based solutions such as ready publication, discoverability and easy access. In this article we describe the developments within ...

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