![ISRIC/SoilGrids250m/v2_0](https://developers.google.com/earth-engine/datasets/images/ISRIC/ISRIC_SoilGrids250m_v2_0_sample.png) Dataset Availability : 1905-04-01T00:00:00Z--2016-07-05T00:00:00Z Dataset Producer : [ISRIC - World Soil Information](https://www.isric.org/explore/soilgrids) Tags : [soil](https://developers.google.com/earth-engine/datasets/tags/soil) [soil-moisture](https://developers.google.com/earth-engine/datasets/tags/soil-moisture) [water](https://developers.google.com/earth-engine/datasets/tags/water) #### Description Volumetric Water Content at 10kPa, 33kPa, and 1500kPa suction in 10\^-3 cm\^3/cm\^3 (0.1 v% or 1 mm/m) at 6 standard depths (0-5cm, 5-15cm, 15-30cm, 30-60cm, 60-100cm, 100-200cm). Predictions were derived using a digital soil mapping approach based on Quantile Random Forest, drawing on a global compilation of soil profile data and environmental layers. This dataset includes predictions for three different suction levels, providing insights into soil water availability. The dataset is organized into three main assets: `/wv0010`, `/wv0033`, and `/wv1500`. Each of these assets contains bands representing soil properties at different depths and quantiles. The band names follow the pattern `val__`, where `depth` represents a soil depth range (e.g., 0-5cm, 5-15cm, 15-30cm, 30-60cm, 60-100cm, 100-200cm) and `quantile` represents a statistical measure (e.g., mean, Q0.05, Q0.5, Q0.95). The uncertainty band is not yet included. It is possible to calculate the uncertainty from the ratio between the inter-quantile range (90% prediction interval width) and the median: (Q0.95-Q0.05)/Q0.50. Documentation: - [Scientific Paper](https://www.sciencedirect.com/science/article/pii/S2095633922000636?via%3Dihub) ### Bands **Bands** Pixel size: 250 meters (all bands) | Name | Units | Pixel Size | Description | |---|---|---|---| | `val_0_5cm_mean` | cm\^3/cm\^3 | 250 meters | Mean Volumetric Water Content (0-5cm depth) | | `val_0_5cm_Q0_05` | cm\^3/cm\^3 | 250 meters | Q0.05 Volumetric Water Content (0-5cm depth) | | `val_0_5cm_Q0_5` | cm\^3/cm\^3 | 250 meters | Q0.5 Volumetric Water Content (0-5cm depth) | | `val_0_5cm_Q0_95` | cm\^3/cm\^3 | 250 meters | Q0.95 Volumetric Water Content (0-5cm depth) | | `val_5_15cm_mean` | cm\^3/cm\^3 | 250 meters | Mean Volumetric Water Content (5-15cm depth) | | `val_5_15cm_Q0_05` | cm\^3/cm\^3 | 250 meters | Q0.05 Volumetric Water Content (5-15cm depth) | | `val_5_15cm_Q0_5` | cm\^3/cm\^3 | 250 meters | Q0.5 Volumetric Water Content (5-15cm depth) | | `val_5_15cm_Q0_95` | cm\^3/cm\^3 | 250 meters | Q0.95 Volumetric Water Content (5-15cm depth) | | `val_15_30cm_mean` | cm\^3/cm\^3 | 250 meters | Mean Volumetric Water Content (15-30cm depth) | | `val_15_30cm_Q0_05` | cm\^3/cm\^3 | 250 meters | Q0.05 Volumetric Water Content (15-30cm depth) | | `val_15_30cm_Q0_5` | cm\^3/cm\^3 | 250 meters | Q0.5 Volumetric Water Content (15-30cm depth) | | `val_15_30cm_Q0_95` | cm\^3/cm\^3 | 250 meters | Q0.95 Volumetric Water Content (15-30cm depth) | | `val_30_60cm_mean` | cm\^3/cm\^3 | 250 meters | Mean Volumetric Water Content (30-60cm depth) | | `val_30_60cm_Q0_05` | cm\^3/cm\^3 | 250 meters | Q0.05 Volumetric Water Content (30-60cm depth) | | `val_30_60cm_Q0_5` | cm\^3/cm\^3 | 250 meters | Q0.5 Volumetric Water Content (30-60cm depth) | | `val_30_60cm_Q0_95` | cm\^3/cm\^3 | 250 meters | Q0.95 Volumetric Water Content (30-60cm depth) | | `val_60_100cm_mean` | cm\^3/cm\^3 | 250 meters | Mean Volumetric Water Content (60-100cm depth) | | `val_60_100cm_Q0_05` | cm\^3/cm\^3 | 250 meters | Q0.05 Volumetric Water Content (60-100cm depth) | | `val_60_100cm_Q0_5` | cm\^3/cm\^3 | 250 meters | Q0.5 Volumetric Water Content (60-100cm depth) | | `val_60_100cm_Q0_95` | cm\^3/cm\^3 | 250 meters | Q0.95 Volumetric Water Content (60-100cm depth) | | `val_100_200cm_mean` | cm\^3/cm\^3 | 250 meters | Mean Volumetric Water Content (100-200cm depth) | | `val_100_200cm_Q0_05` | cm\^3/cm\^3 | 250 meters | Q0.05 Volumetric Water Content (100-200cm depth) | | `val_100_200cm_Q0_5` | cm\^3/cm\^3 | 250 meters | Q0.5 Volumetric Water Content (100-200cm depth) | | `val_100_200cm_Q0_95` | cm\^3/cm\^3 | 250 meters | Q0.95 Volumetric Water Content (100-200cm depth) | ### Terms of Use **Terms of Use** [CC-BY-4.0](https://spdx.org/licenses/CC-BY-4.0.html) ### Citations Citations: - Global mapping of volumetric water retention at 100, 330 and 15000 cm suction using the WoSIS database Turek M.E., Poggio L., Batjes N.H., Armindo R.A., de Jong van Lier Q., de Sousa L., Heuvelink G.B.M. (2023) International Soil and Water Conservation Research, 11 (2), pp. 225-239. ### DOIs - ### Explore with Earth Engine > [!NOTE] > **Important:** Earth Engine is a platform for petabyte-scale scientific analysis and visualization of geospatial datasets, both for public benefit and for business and government users. Earth Engine is free to use for research, education, and nonprofit use. To get started, please [register for Earth Engine access.](https://console.cloud.google.com/earth-engine) ### Code Editor (JavaScript) ```javascript var dataset = ee.Image('ISRIC/SoilGrids250m/v2_0/wv0010').select('val_0_5cm_Q0_95'); Map.setCenter(-105.25, 52.5, 3); Map.addLayer( dataset, { min: -0.061, max: 0.636, palette: [ '#440154', '#482878', '#3E4A89', '#31688E', '#26828E', '#1F9E89', '#35B779', '#6DCD59', '#B4DE2C', '#FDE725' ] }, 'SoilGrids250m 10kPa Q0.95 0-5cm'); ``` [Open in Code Editor](https://code.earthengine.google.com/?scriptPath=Examples:Datasets/ISRIC/ISRIC_SoilGrids250m_v2_0) [SoilGrids250m 2.0 - Volumetric Water Content](https://developers.google.com/earth-engine/datasets/catalog/ISRIC_SoilGrids250m_v2_0) Volumetric Water Content at 10kPa, 33kPa, and 1500kPa suction in 10\^-3 cm\^3/cm\^3 (0.1 v% or 1 mm/m) at 6 standard depths (0-5cm, 5-15cm, 15-30cm, 30-60cm, 60-100cm, 100-200cm). Predictions were derived using a digital soil mapping approach based on Quantile Random Forest, drawing on a global compilation of soil profile data ... ISRIC/SoilGrids250m/v2_0, soil,soil-moisture,water 1905-04-01T00:00:00Z/2016-07-05T00:00:00Z -56 -180 84 180 Google Earth Engine https://developers.google.com/earth-engine/datasets - [https://doi.org/10.1016/j.iswcr.2022.08.001](https://doi.org/https://www.isric.org/explore/soilgrids) - [https://doi.org/10.1016/j.iswcr.2022.08.001](https://doi.org/https://developers.google.com/earth-engine/datasets/catalog/ISRIC_SoilGrids250m_v2_0)