محتوای آب خاک (درصد حجمی) برای مکش های 33 کیلو پاسکال و 1500 کیلو پاسکال پیش بینی شده در 6 عمق استاندارد (0، 10، 30، 60، 100 و 200 سانتی متر) در وضوح 250 متر
نقاط آموزشی بر اساس یک مجموعه جهانی از پروفایل های خاک است:
مراحل وارد کردن داده در اینجا موجود است. مراحل پیش بینی فضایی به تفصیل در اینجا شرح داده شده است. توجه: اینها در واقع مقادیر محتوای خاک اندازه گیری و نقشه برداری شده اند. هیچ تابع انتقال Pedo استفاده نشده است (به جز برای پر کردن چگالی فله NCSS از دست رفته). ظرفیت آب موجود بر حسب میلیمتر (بهعنوان تفاوت بین ظرفیت مزرعه و نقطه پژمردگی ضربدر ضخامت لایه) در هر لایه در اینجا موجود است. قطب جنوب شامل نمی شود.
برای دسترسی و تجسم نقشههای خارج از Earth Engine، از این صفحه استفاده کنید.
اگر اشکال، مصنوع یا ناهماهنگی در نقشه های LandGIS پیدا کردید یا اگر سوالی دارید لطفا از کانال های زیر استفاده کنید:
تومیسلاو هنگل و سوریا گوپتا (2019). محتوای آب خاک (درصد حجمی) برای مکش های 33 کیلو پاسکال و 1500 کیلو پاسکال در 6 عمق استاندارد (0، 10، 30، 60، 100 و 200 سانتی متر) در وضوح 250 متر (نسخه v01) پیش بینی شده است [مجموعه داده ها]. زنودو. 10.5281/zenodo.2629589
[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)"]]