Bodenwassergehalt (Volumenprozent) für 33 kPa und 1.500 kPa-Saugspannungen, die in einer Auflösung von 250 m in 6 Standardtiefen (0, 10, 30, 60, 100 und 200 cm) vorhergesagt werden
Die Trainingspunkte basieren auf einer globalen Zusammenstellung von Bodenprofilen:
Hier finden Sie eine Anleitung zum Importieren von Daten.
Die Schritte für die räumliche Vorhersage werden hier ausführlich beschrieben.
Hinweis: Dies sind tatsächlich gemessene und zugeordnete Werte für den Bodeninhalt. Es wurden keine Pedo-Transfer-Funktionen verwendet (außer zum Ausfüllen der fehlenden NCSS-Schüttdichten). Die verfügbare Wasserkapazität in Millimetern (abgeleitet als Differenz zwischen Feldkapazität und Welkepunkt multipliziert mit der Schichtdicke) pro Schicht ist hier verfügbar.
Die Antarktis ist nicht enthalten.
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Tomislav Hengl und Surya Gupta. (2019). Bodenwassergehalt (volumetrisch %) für 33 kPa und 1.500 kPa Saugspannung, geschätzt in 6 Standardtiefen (0, 10, 30, 60, 100 und 200 cm) bei einer Auflösung von 250 m (Version v01) [Datensatz]. Zenodo.
10.5281/zenodo.2629589
Bodenwassergehalt (volumetrisch %) für 33 kPa und 1.500 kPa Saugspannung, vorhergesagt in 6 Standardtiefen (0, 10, 30, 60, 100 und 200 cm) bei einer Auflösung von 250 m. Die Trainingspunkte basieren auf einer globalen Zusammenstellung von Bodenprofilen: 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)"]]
