[null,null,[],[[["\u003cp\u003eThis dataset provides global sand content estimations at six standard soil depths (0, 10, 30, 60, 100, and 200 cm).\u003c/p\u003e\n"],["\u003cp\u003eData is available at 250-meter resolution and covers the period from 1950 to 2018, excluding Antarctica.\u003c/p\u003e\n"],["\u003cp\u003eSand content is expressed as a percentage (kg/kg) and is based on machine learning predictions using a global compilation of soil profiles.\u003c/p\u003e\n"],["\u003cp\u003eThe dataset is provided by EnvirometriX Ltd.and is licensed under CC-BY-SA-4.0.\u003c/p\u003e\n"],["\u003cp\u003eUsers can access and visualize the data through Google Earth Engine or the OpenLandMap website.\u003c/p\u003e\n"]]],[],null,["# OpenLandMap Sand Content\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.1476851)\n\nTags\n:\n[envirometrix](/earth-engine/datasets/tags/envirometrix) [opengeohub](/earth-engine/datasets/tags/opengeohub) [openlandmap](/earth-engine/datasets/tags/openlandmap) [sand](/earth-engine/datasets/tags/sand) [soil](/earth-engine/datasets/tags/soil) [usda](/earth-engine/datasets/tags/usda) \n\n#### Description\n\nSand content in % (kg / kg) at 6 standard depths (0, 10, 30, 60, 100 and 200 cm) at 250 m resolution\n\nBased on machine learning predictions from global compilation of soil profiles and samples.\nProcessing steps are described in detail [here](https://gitlab.com/openlandmap/global-layers/tree/master/soil).\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` | % (kg / kg) | 1\\* | 100\\* | meters | Sand content at 0 cm depth |\n| `b10` | % (kg / kg) | 1\\* | 100\\* | meters | Sand content at 10 cm depth |\n| `b30` | % (kg / kg) | 1\\* | 100\\* | meters | Sand content at 30 cm depth |\n| `b60` | % (kg / kg) | 1\\* | 100\\* | meters | Sand content at 60 cm depth |\n| `b100` | % (kg / kg) | 1\\* | 100\\* | meters | Sand content at 100 cm depth |\n| `b200` | % (kg / kg) | 1\\* | 100\\* | meters | Sand content 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. (2018). Sand content in % (kg / kg) at 6 standard depths (0, 10, 30, 60, 100 and 200 cm) at 250 m resolution (Version v02) \\[Data set\\].\n [10.5281/zenodo.1476851](https://doi.org/10.5281/zenodo.1476851)\n\n### DOIs\n\n- \u003chttps://doi.org/10.5281/zenodo.1476851\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_SAND-WFRACTION_USDA-3A1A1A_M/v02');\n\nvar visualization = {\n bands: ['b0'],\n min: 1.0,\n max: 100.0,\n palette: [\n 'ffff00', 'f8f806', 'f1f10c', 'ebeb13', 'e4e419', 'dddd20',\n 'd7d726', 'd0d02d', 'caca33', 'c3c33a', 'bcbc41', 'b6b647',\n 'b0b04e', 'a9a954', 'a3a35a', '9c9c61', '959568', '8f8f6e',\n '898975', '82827b', '7b7b82', '757589', '6e6e8f', '686895',\n '61619c', '5a5aa3', '5454a9', '4d4db0', '4747b6', '4141bc',\n '3a3ac3', '3333ca', '2d2dd0', '2626d7', '2020dd', '1919e4',\n '1212eb', '0c0cf1', '0606f8', '0000ff',\n ]\n};\n\nMap.centerObject(dataset);\n\nMap.addLayer(dataset, visualization, 'Sand content in % (kg / kg)');\n```\n[Open in Code Editor](https://code.earthengine.google.com/?scriptPath=Examples:Datasets/OpenLandMap/OpenLandMap_SOL_SOL_SAND-WFRACTION_USDA-3A1A1A_M_v02) \n[OpenLandMap Sand Content](/earth-engine/datasets/catalog/OpenLandMap_SOL_SOL_SAND-WFRACTION_USDA-3A1A1A_M_v02) \nSand content in % (kg / kg) at 6 standard depths (0, 10, 30, 60, 100 and 200 cm) at 250 m resolution Based on machine learning predictions from global compilation of soil profiles and samples. Processing steps are described in detail here. Antarctica is not included. To access and ... \nOpenLandMap/SOL/SOL_SAND-WFRACTION_USDA-3A1A1A_M/v02, envirometrix,opengeohub,openlandmap,sand,soil,usda \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.1476851](https://doi.org/https://doi.org/10.5281/zenodo.1476851)\n- [https://doi.org/10.5281/zenodo.1476851](https://doi.org/https://developers.google.com/earth-engine/datasets/catalog/OpenLandMap_SOL_SOL_SAND-WFRACTION_USDA-3A1A1A_M_v02)"]]
