Teneur en eau du sol (en %) pour des succions de 33 kPa et 1 500 kPa, prédite à six profondeurs standards (0, 10, 30, 60, 100 et 200 cm) avec une résolution de 250 m
Les points d'entraînement sont basés sur une compilation mondiale de profils de sol :
Pour savoir comment importer des données, cliquez ici.
Les étapes de prédiction spatiale sont décrites en détail ici.
Remarque : Il s'agit de valeurs de teneur en sol mesurées et mappées. Aucune fonction de pédotransfert n'a été utilisée (sauf pour compléter les densités apparentes NCSS manquantes). La capacité en eau disponible en mm (dérivée de la différence entre la capacité au champ et le point de flétrissement multipliée par l'épaisseur de la couche) par couche est disponible ici.
L'Antarctique n'est pas inclus.
Pour accéder aux cartes et les visualiser en dehors d'Earth Engine, consultez cette page.
Si vous détectez un bug, un artefact ou une incohérence dans les cartes LandGIS, ou si vous avez une question, veuillez utiliser les canaux suivants :
Tomislav Hengl et Surya Gupta. (2019). Teneur en eau du sol (en %) pour les succions de 33 kPa et 1 500 kPa prédites à six profondeurs standards (0, 10, 30, 60, 100 et 200 cm) à une résolution de 250 m (version v01) [Ensemble de données]. Zenodo.
10.5281/zenodo.2629589
Teneur en eau du sol (en %) pour des succions de 33 kPa et 1 500 kPa prédites à six profondeurs standards (0, 10, 30, 60, 100 et 200 cm) à une résolution de 250 mètres. Les points d'entraînement sont basés sur une compilation mondiale de profils de sol : USDA NCSS AfSPDB ISRIC WISE EGRPR SPADE CanNPDB UNSODA SWIG HYBRAS HydroS…
[null,null,[],[[["\u003cp\u003eThis dataset provides global soil water content estimations at 33kPa (field capacity) for 6 standard soil depths (0-200cm) at 250m resolution.\u003c/p\u003e\n"],["\u003cp\u003eThe data covers the period from 1950 to 2018 and is based on a compilation of various global and regional soil profile databases.\u003c/p\u003e\n"],["\u003cp\u003eSoil water content values are mapped using measured data and spatial prediction models, without relying on Pedo-Transfer Functions (except for bulk density).\u003c/p\u003e\n"],["\u003cp\u003eUsers can access and visualize this dataset within Google Earth Engine or through the OpenGeoHub platform.\u003c/p\u003e\n"],["\u003cp\u003eThe dataset is available under a CC-BY-SA-4.0 license, requiring attribution for use.\u003c/p\u003e\n"]]],[],null,["# OpenLandMap Soil Water Content at 33kPa (Field Capacity)\n\nDataset Availability\n: 1950-01-01T00:00:00Z--2018-01-01T00:00:00Z\n\nDataset Provider\n:\n\n\n [EnvirometriX Ltd](https://doi.org/10.5281/zenodo.2629589)\n\nTags\n:\n [envirometrix](/earth-engine/datasets/tags/envirometrix) [opengeohub](/earth-engine/datasets/tags/opengeohub) [openlandmap](/earth-engine/datasets/tags/openlandmap) [soil](/earth-engine/datasets/tags/soil) \nwatercontent \n\n#### Description\n\nSoil water content (volumetric %) for 33kPa and 1500kPa suctions\npredicted at 6 standard depths (0, 10, 30, 60, 100 and 200 cm) at 250 m resolution\n\nTraining points are based on a global compilation of soil profiles:\n\n- [USDA NCSS](https://ncsslabdatamart.sc.egov.usda.gov/)\n- [AfSPDB](https://www.isric.org/projects/africa-soil-profiles-database-afsp)\n- [ISRIC WISE](https://data.isric.org/geonetwork/srv/eng/catalog.search#/metadata/a351682c-330a-4995-a5a1-57ad160e621c)\n- [EGRPR](http://egrpr.esoil.ru/)\n- [SPADE](https://esdac.jrc.ec.europa.eu/content/soil-profile-analytical-database-2)\n- [CanNPDB](https://open.canada.ca/data/en/dataset/6457fad6-b6f5-47a3-9bd1-ad14aea4b9e0)\n- [UNSODA](https://data.nal.usda.gov/dataset/unsoda-20-unsaturated-soil-hydraulic-database-database-and-program-indirect-methods-estimating-unsaturated-hydraulic-properties)\n- [SWIG](https://doi.pangaea.de/10.1594/PANGAEA.885492)\n- [HYBRAS](https://www.cprm.gov.br/en/Hydrology/Research-and-Innovation/HYBRAS-4208.html)\n- [HydroS](https://doi.org/10.4228/ZALF.2003.273)\n\nData import steps are available [here](https://gitlab.com/openlandmap/compiled-ess-point-data-sets).\nSpatial prediction steps are described in detail [here](https://gitlab.com/openlandmap/global-layers/tree/master/soil/soil_water).\nNote: these are actually measured and mapped soil content values; no Pedo-Transfer-Functions\nhave been used (except to fill in the missing NCSS bulk densities). Available\nwater capacity in mm (derived as a difference between field capacity and wilting\npoint multiplied by layer thickness) per layer is available [here](https://doi.org/10.5281/zenodo.2629148).\nAntarctica is not included.\n\nTo access and visualize maps outside of Earth Engine, use [this page](https://opengeohub.org/about-openlandmap).\n\nIf you discover a bug, artifact or inconsistency in the LandGIS maps\nor if you have a question please use the following channels:\n\n- [Technical issues and questions about the code](https://gitlab.com/openlandmap/global-layers/issues)\n- [General questions and comments](https://disqus.com/home/forums/landgis/)\n\n### Bands\n\n\n**Pixel Size**\n\n250 meters\n\n**Bands**\n\n| Name | Units | Min | Max | Pixel Size | Description |\n|--------|-------|-----|----------|------------|--------------------------------------------------------------|\n| `b0` | % | 0\\* | 52.974\\* | meters | Soil water content at 33kPa (field capacity) at 0 cm depth |\n| `b10` | % | 0\\* | 52.974\\* | meters | Soil water content at 33kPa (field capacity) at 10 cm depth |\n| `b30` | % | 0\\* | 52.974\\* | meters | Soil water content at 33kPa (field capacity) at 30 cm depth |\n| `b60` | % | 0\\* | 52.974\\* | meters | Soil water content at 33kPa (field capacity) at 60 cm depth |\n| `b100` | % | 0\\* | 52.974\\* | meters | Soil water content at 33kPa (field capacity) at 100 cm depth |\n| `b200` | % | 0\\* | 52.974\\* | meters | Soil water content at 33kPa (field capacity) at 200 cm depth |\n\n\\* estimated min or max value\n\n### Terms of Use\n\n**Terms of Use**\n\n[CC-BY-SA-4.0](https://spdx.org/licenses/CC-BY-SA-4.0.html)\n\n### Citations\n\nCitations:\n\n- Tomislav Hengl, \\& Surya Gupta. (2019). Soil water content (volumetric %) for 33kPa and 1500kPa suctions predicted at 6 standard depths (0, 10, 30, 60, 100 and 200 cm) at 250 m resolution (Version v01) \\[Data set\\]. Zenodo.\n [10.5281/zenodo.2629589](https://doi.org/10.5281/zenodo.2629589)\n\n### DOIs\n\n- \u003chttps://doi.org/10.5281/zenodo.2629589\u003e\n\n### Explore with Earth Engine\n\n| **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)\n\n### Code Editor (JavaScript)\n\n```javascript\nvar dataset = ee.Image('OpenLandMap/SOL/SOL_WATERCONTENT-33KPA_USDA-4B1C_M/v01');\n\nvar visualization = {\n bands: ['b0'],\n min: 0.0,\n max: 52.9740182135385,\n palette: [\n 'd29642','eec764','b4ee87','32eeeb','0c78ee','2601b7',\n '083371',\n ]\n};\n\nMap.centerObject(dataset);\n\nMap.addLayer(dataset, visualization, 'Soil water content at 33kPa (field capacity)');\n```\n[Open in Code Editor](https://code.earthengine.google.com/?scriptPath=Examples:Datasets/OpenLandMap/OpenLandMap_SOL_SOL_WATERCONTENT-33KPA_USDA-4B1C_M_v01) \n[OpenLandMap Soil Water Content at 33kPa (Field Capacity)](/earth-engine/datasets/catalog/OpenLandMap_SOL_SOL_WATERCONTENT-33KPA_USDA-4B1C_M_v01) \nSoil water content (volumetric %) for 33kPa and 1500kPa suctions predicted at 6 standard depths (0, 10, 30, 60, 100 and 200 cm) at 250 m resolution Training points are based on a global compilation of soil profiles: USDA NCSS AfSPDB ISRIC WISE EGRPR SPADE CanNPDB UNSODA SWIG HYBRAS HydroS ... \nOpenLandMap/SOL/SOL_WATERCONTENT-33KPA_USDA-4B1C_M/v01, envirometrix,opengeohub,openlandmap,soil \n1950-01-01T00:00:00Z/2018-01-01T00:00:00Z \n-90 -180 90 180 \nGoogle Earth Engine \nhttps://developers.google.com/earth-engine/datasets\n\n- [https://doi.org/10.5281/zenodo.2629589](https://doi.org/https://doi.org/10.5281/zenodo.2629589)\n- [https://doi.org/10.5281/zenodo.2629589](https://doi.org/https://developers.google.com/earth-engine/datasets/catalog/OpenLandMap_SOL_SOL_WATERCONTENT-33KPA_USDA-4B1C_M_v01)"]]