10kPa, 33kPa ve 1500kPa emme basıncında hacimsel su içeriği, 6 standart derinlikte (0-5 cm, 5-15 cm, 15-30 cm, 30-60 cm, 60-100 cm, 100-200 cm) 10^-3 cm^3/cm^3 (0,1 hacim yüzdesi veya 1 mm/m) olarak ölçülür. Tahminler, niceliksel rastgele orman tabanlı bir dijital toprak haritalama yaklaşımı kullanılarak elde edildi. Bu yaklaşımda, küresel bir toprak profili verileri ve çevre katmanları derlemesinden yararlanıldı.
Bu veri kümesi, üç farklı emme seviyesi için tahminler içerir ve toprakta su bulunabilirliği hakkında bilgiler sağlar.
Veri kümesi üç ana öğe halinde düzenlenir: /wv0010, /wv0033 ve /wv1500. Bu öğelerin her birinde, farklı derinliklerdeki ve yüzdelik dilimlerdeki toprak özelliklerini temsil eden bantlar bulunur. Bant adları, val_<depth>_<quantile> şeklinde bir düzene sahiptir.Burada depth, toprak derinliği aralığını (ör. 0-5 cm, 5-15 cm, 15-30 cm, 30-60 cm, 60-100 cm, 100-200 cm) ve quantile istatistiksel bir ölçüyü (ör. ortalama, Q0.05, Q0.5, Q0.95) temsil eder.
Belirsizlik aralığı henüz dahil edilmemiştir. Kuantiller arası aralık (90% tahmin aralığı genişliği) ile medyan arasındaki orandan belirsizliği hesaplamak mümkündür: (Q0.95-Q0.05)/Q0.50.
WoSIS veritabanı kullanılarak 100, 330 ve 15.000 cm emme basıncında hacimsel su tutma özelliğinin küresel olarak haritalandırılması
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.
6 standart derinlikte (0-5 cm, 5-15 cm, 15-30 cm, 30-60 cm, 60-100 cm, 100-200 cm) 10^-3 cm^3/cm^3 (0, 1 hacim yüzdesi veya 1 mm/m) cinsinden 10 kPa, 33 kPa ve 1.500 kPa emme basıncında hacimsel su içeriği. Tahminler, Quantile Random Forest'e dayalı bir dijital toprak haritalama yaklaşımı kullanılarak elde edildi. Bu yaklaşımda, toprak profili verilerinin küresel bir derlemesinden yararlanıldı.
[null,null,[],[],[],null,["# SoilGrids250m 2.0 - Volumetric Water Content\n\nDataset Availability\n: 1905-04-01T00:00:00Z--2016-07-05T00:00:00Z\n\nDataset Provider\n:\n\n\n [ISRIC - World Soil Information](https://www.isric.org/explore/soilgrids)\n\nTags\n:\n[soil](/earth-engine/datasets/tags/soil) [soil-moisture](/earth-engine/datasets/tags/soil-moisture) [water](/earth-engine/datasets/tags/water) \n\n#### Description\n\nVolumetric Water Content at 10kPa, 33kPa, and 1500kPa suction in\n10\\^-3 cm\\^3/cm\\^3 (0.1 v% or 1 mm/m) at 6 standard depths (0-5cm, 5-15cm,\n15-30cm, 30-60cm, 60-100cm, 100-200cm). Predictions were derived using a\ndigital soil mapping approach based on Quantile Random Forest, drawing on a\nglobal compilation of soil profile data and environmental layers.\nThis dataset includes predictions for three different suction levels,\nproviding insights into soil water availability.\n\nThe dataset is organized into three main assets: `/wv0010`, `/wv0033`,\nand `/wv1500`. Each of these assets contains bands representing soil\nproperties at different depths and quantiles. The band names follow the\npattern `val_\u003cdepth\u003e_\u003cquantile\u003e`, where `depth` represents a soil depth\nrange (e.g., 0-5cm, 5-15cm, 15-30cm, 30-60cm, 60-100cm, 100-200cm) and\n`quantile` represents a statistical measure (e.g., mean, Q0.05, Q0.5,\nQ0.95).\n\nThe uncertainty band is not yet included. It is possible to calculate\nthe uncertainty from the ratio between the inter-quantile range\n(90% prediction interval width) and the median: (Q0.95-Q0.05)/Q0.50.\n\nDocumentation:\n\n- [Scientific Paper](https://www.sciencedirect.com/science/article/pii/S2095633922000636?via%3Dihub)\n\n### Bands\n\n\n**Pixel Size**\n\n250 meters\n\n**Bands**\n\n| Name | Units | Pixel Size | Description |\n|-----------------------|-------------|------------|--------------------------------------------------|\n| `val_0_5cm_mean` | cm\\^3/cm\\^3 | meters | Mean Volumetric Water Content (0-5cm depth) |\n| `val_0_5cm_Q0_05` | cm\\^3/cm\\^3 | meters | Q0.05 Volumetric Water Content (0-5cm depth) |\n| `val_0_5cm_Q0_5` | cm\\^3/cm\\^3 | meters | Q0.5 Volumetric Water Content (0-5cm depth) |\n| `val_0_5cm_Q0_95` | cm\\^3/cm\\^3 | meters | Q0.95 Volumetric Water Content (0-5cm depth) |\n| `val_5_15cm_mean` | cm\\^3/cm\\^3 | meters | Mean Volumetric Water Content (5-15cm depth) |\n| `val_5_15cm_Q0_05` | cm\\^3/cm\\^3 | meters | Q0.05 Volumetric Water Content (5-15cm depth) |\n| `val_5_15cm_Q0_5` | cm\\^3/cm\\^3 | meters | Q0.5 Volumetric Water Content (5-15cm depth) |\n| `val_5_15cm_Q0_95` | cm\\^3/cm\\^3 | meters | Q0.95 Volumetric Water Content (5-15cm depth) |\n| `val_15_30cm_mean` | cm\\^3/cm\\^3 | meters | Mean Volumetric Water Content (15-30cm depth) |\n| `val_15_30cm_Q0_05` | cm\\^3/cm\\^3 | meters | Q0.05 Volumetric Water Content (15-30cm depth) |\n| `val_15_30cm_Q0_5` | cm\\^3/cm\\^3 | meters | Q0.5 Volumetric Water Content (15-30cm depth) |\n| `val_15_30cm_Q0_95` | cm\\^3/cm\\^3 | meters | Q0.95 Volumetric Water Content (15-30cm depth) |\n| `val_30_60cm_mean` | cm\\^3/cm\\^3 | meters | Mean Volumetric Water Content (30-60cm depth) |\n| `val_30_60cm_Q0_05` | cm\\^3/cm\\^3 | meters | Q0.05 Volumetric Water Content (30-60cm depth) |\n| `val_30_60cm_Q0_5` | cm\\^3/cm\\^3 | meters | Q0.5 Volumetric Water Content (30-60cm depth) |\n| `val_30_60cm_Q0_95` | cm\\^3/cm\\^3 | meters | Q0.95 Volumetric Water Content (30-60cm depth) |\n| `val_60_100cm_mean` | cm\\^3/cm\\^3 | meters | Mean Volumetric Water Content (60-100cm depth) |\n| `val_60_100cm_Q0_05` | cm\\^3/cm\\^3 | meters | Q0.05 Volumetric Water Content (60-100cm depth) |\n| `val_60_100cm_Q0_5` | cm\\^3/cm\\^3 | meters | Q0.5 Volumetric Water Content (60-100cm depth) |\n| `val_60_100cm_Q0_95` | cm\\^3/cm\\^3 | meters | Q0.95 Volumetric Water Content (60-100cm depth) |\n| `val_100_200cm_mean` | cm\\^3/cm\\^3 | meters | Mean Volumetric Water Content (100-200cm depth) |\n| `val_100_200cm_Q0_05` | cm\\^3/cm\\^3 | meters | Q0.05 Volumetric Water Content (100-200cm depth) |\n| `val_100_200cm_Q0_5` | cm\\^3/cm\\^3 | meters | Q0.5 Volumetric Water Content (100-200cm depth) |\n| `val_100_200cm_Q0_95` | cm\\^3/cm\\^3 | meters | Q0.95 Volumetric Water Content (100-200cm depth) |\n\n### Terms of Use\n\n**Terms of Use**\n\n[CC-BY-4.0](https://spdx.org/licenses/CC-BY-4.0.html)\n\n### Citations\n\nCitations:\n\n- Global mapping of volumetric water retention at 100, 330 and 15000 cm\n suction using the WoSIS database\n Turek M.E., Poggio L., Batjes N.H., Armindo R.A., de Jong van Lier Q.,\n de Sousa L., Heuvelink G.B.M. (2023)\n International Soil and Water Conservation Research, 11 (2), pp. 225-239.\n\n### DOIs\n\n- \u003chttps://doi.org/10.1016/j.iswcr.2022.08.001\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('ISRIC/SoilGrids250m/v2_0/wv0010').select('val_0_5cm_Q0_95');\n\nMap.setCenter(-105.25, 52.5, 3);\n\nMap.addLayer(\n dataset, {\n min: -0.061,\n max: 0.636,\n palette: [\n '#440154', '#482878', '#3E4A89', '#31688E', '#26828E', '#1F9E89',\n '#35B779', '#6DCD59', '#B4DE2C', '#FDE725'\n ]\n },\n 'SoilGrids250m 10kPa Q0.95 0-5cm');\n```\n[Open in Code Editor](https://code.earthengine.google.com/?scriptPath=Examples:Datasets/ISRIC/ISRIC_SoilGrids250m_v2_0) \n[SoilGrids250m 2.0 - Volumetric Water Content](/earth-engine/datasets/catalog/ISRIC_SoilGrids250m_v2_0) \nVolumetric 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 ... \nISRIC/SoilGrids250m/v2_0, soil,soil-moisture,water \n1905-04-01T00:00:00Z/2016-07-05T00:00:00Z \n-56 -180 84 180 \nGoogle Earth Engine \nhttps://developers.google.com/earth-engine/datasets\n\n- [https://doi.org/10.1016/j.iswcr.2022.08.001](https://doi.org/https://www.isric.org/explore/soilgrids)\n- [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)"]]
