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Mean soil organic carbon content (dg/kg)<br>prediction and range between 5 %<br>and 95 % quantiles in the 5<br>to 15 cm depth interval, (a) for prediction<br>and (b) for interquartile range. +
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15:37:01, 23 June 2024 +
GeoTIFF +
Measured +
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250m x 250m +
Global +
Time snap shot +
SoilGrids produces maps of soil properties … SoilGrids produces maps of soil properties for the entire globe at medium spatial resolution (250 m cell size) using state-of-the-art machine learning methods to generate the necessary models. It takes as inputs soil observations from about 240 000 locations worldwide and over 400 global environmental covariates describing vegetation, terrain morphology, climate, geology and hydrology.orphology, climate, geology and hydrology. +
Poggio, L., de Sousa, L. M., Batjes, N. H. … Poggio, L., de Sousa, L. M., Batjes, N. H., Heuvelink, G. B. M., Kempen, B., Ribeiro, E., and Rossiter, D., 2021. SoilGrids 2.0: producing soil information for the globe with quantified spatial uncertainty, SOIL, 7, 217–240, https://doi.org/10.5194/soil-7-217-2021., https://doi.org/10.5194/soil-7-217-2021. +
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16:48:20, 11 March 2025 +
SoilGrids<sub>TM</sub> is a system for global digital soil mapping that uses state-of-the-art machine learning methods to map the spatial distribution of soil properties across the globe. +
VRT +
Image:Soil-7-217-2021-avatar-thumb150.png +
