iSDAsoil Bulk Density, <2mm Fraction
تنظيم صفحاتك في مجموعات
يمكنك حفظ المحتوى وتصنيفه حسب إعداداتك المفضّلة.
توفّر مجموعة البيانات
2001-01-01T00:00:00Z–2017-01-01T00:00:00Z
مزوّد مجموعة البيانات
iSDA
مقتطف Earth Engine
ee.Image("ISDASOIL/Africa/v1/bulk_density")
open_in_new
العلامات
أفريقيا
ISDA
التربة
الكثافة الظاهرية
الوصف
الكثافة الظاهرية، جزء <2 مم على أعماق التربة من 0 إلى 20 سم ومن 20 إلى 50 سم،
المتوسط المتوقّع والانحراف المعياري
يجب إعادة تحويل قيم البكسل باستخدام x/100.
في مناطق الغابات الكثيفة (بشكل عام في وسط أفريقيا)، تكون دقة النموذج منخفضة، وبالتالي قد تظهر تشوّهات، مثل التخطيط (التشريط).
تم إعداد توقّعات حول خصائص التربة بواسطة
Innovative Solutions for Decision Agriculture Ltd. (iSDA)
بدقة 30 مترًا لكل بكسل باستخدام تعلُّم الآلة مع بيانات الاستشعار عن بُعد
ومجموعة تدريب تضم أكثر من 100,000 عيّنة تربة تم تحليلها.
يمكنك الاطّلاع على مزيد من المعلومات في الأسئلة الشائعة والمستندات التي تتضمّن معلومات فنية . لإرسال مشكلة أو طلب الحصول على الدعم، يُرجى الانتقال إلى
موقع iSDAsoil الإلكتروني .
النطاقات
حجم البكسل
النطاقات
الاسم
الوحدات
الحد الأدنى
الحد الأقصى
حجم البكسل
الوصف
mean_0_20غ/سم^3
44
197
أمتار
الكثافة الظاهرية، جزء <2 مم، المتوسط المتوقّع على عمق 0-20 سم
mean_20_50غ/سم^3
44
196
أمتار
الكثافة الظاهرية، جزء <2 مم، المتوسط المتوقع على عمق 20-50 سم
stdev_0_20غ/سم^3
0
92
أمتار
الكثافة الظاهرية، جزء <2 مم، الانحراف المعياري عند عمق 0-20 سم
stdev_20_50غ/سم^3
0
92
أمتار
الكثافة الظاهرية، جزء <2 مم، الانحراف المعياري على عمق 20-50 سم
الاقتباسات
Hengl, T., Miller, M.A.E., Križan, J., et al. African soil properties and nutrients
mapped at 30 m spatial resolution using two-scale ensemble machine learning.
Sci Rep 11, 6130 (2021).
doi:10.1038/s41598-021-85639-y
الاستكشاف باستخدام Earth Engine
ملاحظة مهمة:
Earth Engine هي منصة لتحليل البيانات الجغرافية المكانية وعرضها بصريًا على نطاق واسع (بايتابايت)،
وذلك لتحقيق المنفعة العامة ولخدمة المستخدمين من المؤسسات والجهات الحكومية.
يمكن استخدام Earth Engine مجانًا لأغراض البحث والتعليم والاستخدام غير الربحي. للبدء، يُرجى
التسجيل للحصول على إذن الوصول إلى Earth Engine.
أداة تعديل الرموز (JavaScript)
var mean_0_20 =
'<RasterSymbolizer>' +
'<ColorMap type="ramp">' +
'<ColorMapEntry color="#00204D" label="0.8-1.05" opacity="1" quantity="105"/>' +
'<ColorMapEntry color="#002D6C" label="1.05-1.19" opacity="1" quantity="119"/>' +
'<ColorMapEntry color="#16396D" label="1.19-1.23" opacity="1" quantity="123"/>' +
'<ColorMapEntry color="#36476B" label="1.23-1.25" opacity="1" quantity="125"/>' +
'<ColorMapEntry color="#4B546C" label="1.25-1.28" opacity="1" quantity="128"/>' +
'<ColorMapEntry color="#5C616E" label="1.28-1.31" opacity="1" quantity="131"/>' +
'<ColorMapEntry color="#6C6E72" label="1.31-1.34" opacity="1" quantity="134"/>' +
'<ColorMapEntry color="#7C7B78" label="1.34-1.36" opacity="1" quantity="136"/>' +
'<ColorMapEntry color="#8E8A79" label="1.36-1.38" opacity="1" quantity="138"/>' +
'<ColorMapEntry color="#A09877" label="1.38-1.41" opacity="1" quantity="141"/>' +
'<ColorMapEntry color="#B3A772" label="1.41-1.43" opacity="1" quantity="143"/>' +
'<ColorMapEntry color="#C6B66B" label="1.43-1.45" opacity="1" quantity="145"/>' +
'<ColorMapEntry color="#DBC761" label="1.45-1.48" opacity="1" quantity="148"/>' +
'<ColorMapEntry color="#F0D852" label="1.48-1.51" opacity="1" quantity="151"/>' +
'<ColorMapEntry color="#FFEA46" label="1.51-1.85" opacity="1" quantity="154"/>' +
'</ColorMap>' +
'<ContrastEnhancement/>' +
'</RasterSymbolizer>' ;
var mean_20_50 =
'<RasterSymbolizer>' +
'<ColorMap type="ramp">' +
'<ColorMapEntry color="#00204D" label="0.8-1.05" opacity="1" quantity="105"/>' +
'<ColorMapEntry color="#002D6C" label="1.05-1.19" opacity="1" quantity="119"/>' +
'<ColorMapEntry color="#16396D" label="1.19-1.23" opacity="1" quantity="123"/>' +
'<ColorMapEntry color="#36476B" label="1.23-1.25" opacity="1" quantity="125"/>' +
'<ColorMapEntry color="#4B546C" label="1.25-1.28" opacity="1" quantity="128"/>' +
'<ColorMapEntry color="#5C616E" label="1.28-1.31" opacity="1" quantity="131"/>' +
'<ColorMapEntry color="#6C6E72" label="1.31-1.34" opacity="1" quantity="134"/>' +
'<ColorMapEntry color="#7C7B78" label="1.34-1.36" opacity="1" quantity="136"/>' +
'<ColorMapEntry color="#8E8A79" label="1.36-1.38" opacity="1" quantity="138"/>' +
'<ColorMapEntry color="#A09877" label="1.38-1.41" opacity="1" quantity="141"/>' +
'<ColorMapEntry color="#B3A772" label="1.41-1.43" opacity="1" quantity="143"/>' +
'<ColorMapEntry color="#C6B66B" label="1.43-1.45" opacity="1" quantity="145"/>' +
'<ColorMapEntry color="#DBC761" label="1.45-1.48" opacity="1" quantity="148"/>' +
'<ColorMapEntry color="#F0D852" label="1.48-1.51" opacity="1" quantity="151"/>' +
'<ColorMapEntry color="#FFEA46" label="1.51-1.85" opacity="1" quantity="154"/>' +
'</ColorMap>' +
'<ContrastEnhancement/>' +
'</RasterSymbolizer>' ;
var stdev_0_20 =
'<RasterSymbolizer>' +
'<ColorMap type="ramp">' +
'<ColorMapEntry color="#fde725" label="low" opacity="1" quantity="2"/>' +
'<ColorMapEntry color="#5dc962" label=" " opacity="1" quantity="4"/>' +
'<ColorMapEntry color="#20908d" label=" " opacity="1" quantity="5"/>' +
'<ColorMapEntry color="#3a528b" label=" " opacity="1" quantity="7"/>' +
'<ColorMapEntry color="#440154" label="high" opacity="1" quantity="9"/>' +
'</ColorMap>' +
'<ContrastEnhancement/>' +
'</RasterSymbolizer>' ;
var stdev_20_50 =
'<RasterSymbolizer>' +
'<ColorMap type="ramp">' +
'<ColorMapEntry color="#fde725" label="low" opacity="1" quantity="2"/>' +
'<ColorMapEntry color="#5dc962" label=" " opacity="1" quantity="4"/>' +
'<ColorMapEntry color="#20908d" label=" " opacity="1" quantity="5"/>' +
'<ColorMapEntry color="#3a528b" label=" " opacity="1" quantity="7"/>' +
'<ColorMapEntry color="#440154" label="high" opacity="1" quantity="9"/>' +
'</ColorMap>' +
'<ContrastEnhancement/>' +
'</RasterSymbolizer>' ;
var raw = ee . Image ( "ISDASOIL/Africa/v1/bulk_density" );
Map . addLayer (
raw . select ( 0 ). sldStyle ( mean_0_20 ), {},
"Bulk density, mean visualization, 0-20 cm" );
Map . addLayer (
raw . select ( 1 ). sldStyle ( mean_20_50 ), {},
"Bulk density, mean visualization, 20-50 cm" );
Map . addLayer (
raw . select ( 2 ). sldStyle ( stdev_0_20 ), {},
"Bulk density, stdev visualization, 0-20 cm" );
Map . addLayer (
raw . select ( 3 ). sldStyle ( stdev_20_50 ), {},
"Bulk density, stdev visualization, 20-50 cm" );
var converted = raw . divide ( 100 );
var visualization = { min : 1 , max : 1.5 };
Map . setCenter ( 25 , - 3 , 2 );
Map . addLayer ( converted . select ( 0 ), visualization , "Bulk density, mean, 0-20 cm" );
فتح في "أداة تعديل الرموز"
[null,null,[],[[["\u003cp\u003eThis dataset provides soil bulk density data for Africa at 30-meter resolution, covering the period from 2001 to 2017.\u003c/p\u003e\n"],["\u003cp\u003eIt includes predicted mean and standard deviation of bulk density for soil depths of 0-20 cm and 20-50 cm.\u003c/p\u003e\n"],["\u003cp\u003eThe data is derived from machine learning models trained on over 100,000 soil samples and remote sensing data, with potential for lower accuracy in dense jungle areas.\u003c/p\u003e\n"],["\u003cp\u003ePixel values require back-transformation by dividing by 100 to obtain the actual bulk density in g/cm³.\u003c/p\u003e\n"],["\u003cp\u003eThe dataset is provided by Innovative Solutions for Decision Agriculture Ltd.(iSDA) under a CC-BY-4.0 license.\u003c/p\u003e\n"]]],[],null,["# iSDAsoil Bulk Density, <2mm Fraction\n\nDataset Availability\n: 2001-01-01T00:00:00Z--2017-01-01T00:00:00Z\n\nDataset Provider\n:\n\n\n [iSDA](https://isda-africa.com/)\n\nTags\n:\n [africa](/earth-engine/datasets/tags/africa) [isda](/earth-engine/datasets/tags/isda) [soil](/earth-engine/datasets/tags/soil) \nbulk-density \n\n#### Description\n\nBulk density, \\\u003c2mm fraction at soil depths of 0-20 cm and 20-50 cm,\npredicted mean and standard deviation.\n\nPixel values must be back-transformed with `x/100`.\n\nIn areas of dense jungle (generally over central Africa), model accuracy is\nlow and therefore artifacts such as banding (striping) might be seen.\n\nSoil property predictions were made by\n[Innovative Solutions for Decision Agriculture Ltd. (iSDA)](https://isda-africa.com/)\nat 30 m pixel size using machine learning coupled with remote sensing data\nand a training set of over 100,000 analyzed soil samples.\n\nFurther information can be found in the\n[FAQ](https://www.isda-africa.com/isdasoil/faq/) and\n[technical information documentation](https://www.isda-africa.com/isdasoil/technical-information/). To submit an issue or request support, please visit\n[the iSDAsoil site](https://isda-africa.com/isdasoil).\n\n### Bands\n\n\n**Pixel Size**\n\n30 meters\n\n**Bands**\n\n| Name | Units | Min | Max | Pixel Size | Description |\n|---------------|---------|-----|-----|------------|--------------------------------------------------------------------|\n| `mean_0_20` | g/cm\\^3 | 44 | 197 | meters | Bulk density, \\\u003c2mm fraction, predicted mean at 0-20 cm depth |\n| `mean_20_50` | g/cm\\^3 | 44 | 196 | meters | Bulk density, \\\u003c2mm fraction, predicted mean at 20-50 cm depth |\n| `stdev_0_20` | g/cm\\^3 | 0 | 92 | meters | Bulk density, \\\u003c2mm fraction, standard deviation at 0-20 cm depth |\n| `stdev_20_50` | g/cm\\^3 | 0 | 92 | meters | Bulk density, \\\u003c2mm fraction, standard deviation at 20-50 cm 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- Hengl, T., Miller, M.A.E., Križan, J., et al. African soil properties and nutrients\n mapped at 30 m spatial resolution using two-scale ensemble machine learning.\n Sci Rep 11, 6130 (2021).\n [doi:10.1038/s41598-021-85639-y](https://doi.org/10.1038/s41598-021-85639-y)\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 mean_0_20 =\n'\u003cRasterSymbolizer\u003e' +\n '\u003cColorMap type=\"ramp\"\u003e' +\n '\u003cColorMapEntry color=\"#00204D\" label=\"0.8-1.05\" opacity=\"1\" quantity=\"105\"/\u003e' +\n '\u003cColorMapEntry color=\"#002D6C\" label=\"1.05-1.19\" opacity=\"1\" quantity=\"119\"/\u003e' +\n '\u003cColorMapEntry color=\"#16396D\" label=\"1.19-1.23\" opacity=\"1\" quantity=\"123\"/\u003e' +\n '\u003cColorMapEntry color=\"#36476B\" label=\"1.23-1.25\" opacity=\"1\" quantity=\"125\"/\u003e' +\n '\u003cColorMapEntry color=\"#4B546C\" label=\"1.25-1.28\" opacity=\"1\" quantity=\"128\"/\u003e' +\n '\u003cColorMapEntry color=\"#5C616E\" label=\"1.28-1.31\" opacity=\"1\" quantity=\"131\"/\u003e' +\n '\u003cColorMapEntry color=\"#6C6E72\" label=\"1.31-1.34\" opacity=\"1\" quantity=\"134\"/\u003e' +\n '\u003cColorMapEntry color=\"#7C7B78\" label=\"1.34-1.36\" opacity=\"1\" quantity=\"136\"/\u003e' +\n '\u003cColorMapEntry color=\"#8E8A79\" label=\"1.36-1.38\" opacity=\"1\" quantity=\"138\"/\u003e' +\n '\u003cColorMapEntry color=\"#A09877\" label=\"1.38-1.41\" opacity=\"1\" quantity=\"141\"/\u003e' +\n '\u003cColorMapEntry color=\"#B3A772\" label=\"1.41-1.43\" opacity=\"1\" quantity=\"143\"/\u003e' +\n '\u003cColorMapEntry color=\"#C6B66B\" label=\"1.43-1.45\" opacity=\"1\" quantity=\"145\"/\u003e' +\n '\u003cColorMapEntry color=\"#DBC761\" label=\"1.45-1.48\" opacity=\"1\" quantity=\"148\"/\u003e' +\n '\u003cColorMapEntry color=\"#F0D852\" label=\"1.48-1.51\" opacity=\"1\" quantity=\"151\"/\u003e' +\n '\u003cColorMapEntry color=\"#FFEA46\" label=\"1.51-1.85\" opacity=\"1\" quantity=\"154\"/\u003e' +\n '\u003c/ColorMap\u003e' +\n '\u003cContrastEnhancement/\u003e' +\n'\u003c/RasterSymbolizer\u003e';\n\nvar mean_20_50 =\n'\u003cRasterSymbolizer\u003e' +\n '\u003cColorMap type=\"ramp\"\u003e' +\n '\u003cColorMapEntry color=\"#00204D\" label=\"0.8-1.05\" opacity=\"1\" quantity=\"105\"/\u003e' +\n '\u003cColorMapEntry color=\"#002D6C\" label=\"1.05-1.19\" opacity=\"1\" quantity=\"119\"/\u003e' +\n '\u003cColorMapEntry color=\"#16396D\" label=\"1.19-1.23\" opacity=\"1\" quantity=\"123\"/\u003e' +\n '\u003cColorMapEntry color=\"#36476B\" label=\"1.23-1.25\" opacity=\"1\" quantity=\"125\"/\u003e' +\n '\u003cColorMapEntry color=\"#4B546C\" label=\"1.25-1.28\" opacity=\"1\" quantity=\"128\"/\u003e' +\n '\u003cColorMapEntry color=\"#5C616E\" label=\"1.28-1.31\" opacity=\"1\" quantity=\"131\"/\u003e' +\n '\u003cColorMapEntry color=\"#6C6E72\" label=\"1.31-1.34\" opacity=\"1\" quantity=\"134\"/\u003e' +\n '\u003cColorMapEntry color=\"#7C7B78\" label=\"1.34-1.36\" opacity=\"1\" quantity=\"136\"/\u003e' +\n '\u003cColorMapEntry color=\"#8E8A79\" label=\"1.36-1.38\" opacity=\"1\" quantity=\"138\"/\u003e' +\n '\u003cColorMapEntry color=\"#A09877\" label=\"1.38-1.41\" opacity=\"1\" quantity=\"141\"/\u003e' +\n '\u003cColorMapEntry color=\"#B3A772\" label=\"1.41-1.43\" opacity=\"1\" quantity=\"143\"/\u003e' +\n '\u003cColorMapEntry color=\"#C6B66B\" label=\"1.43-1.45\" opacity=\"1\" quantity=\"145\"/\u003e' +\n '\u003cColorMapEntry color=\"#DBC761\" label=\"1.45-1.48\" opacity=\"1\" quantity=\"148\"/\u003e' +\n '\u003cColorMapEntry color=\"#F0D852\" label=\"1.48-1.51\" opacity=\"1\" quantity=\"151\"/\u003e' +\n '\u003cColorMapEntry color=\"#FFEA46\" label=\"1.51-1.85\" opacity=\"1\" quantity=\"154\"/\u003e' +\n '\u003c/ColorMap\u003e' +\n '\u003cContrastEnhancement/\u003e' +\n'\u003c/RasterSymbolizer\u003e';\n\nvar stdev_0_20 =\n'\u003cRasterSymbolizer\u003e' +\n '\u003cColorMap type=\"ramp\"\u003e' +\n '\u003cColorMapEntry color=\"#fde725\" label=\"low\" opacity=\"1\" quantity=\"2\"/\u003e' +\n '\u003cColorMapEntry color=\"#5dc962\" label=\" \" opacity=\"1\" quantity=\"4\"/\u003e' +\n '\u003cColorMapEntry color=\"#20908d\" label=\" \" opacity=\"1\" quantity=\"5\"/\u003e' +\n '\u003cColorMapEntry color=\"#3a528b\" label=\" \" opacity=\"1\" quantity=\"7\"/\u003e' +\n '\u003cColorMapEntry color=\"#440154\" label=\"high\" opacity=\"1\" quantity=\"9\"/\u003e' +\n '\u003c/ColorMap\u003e' +\n '\u003cContrastEnhancement/\u003e' +\n'\u003c/RasterSymbolizer\u003e';\n\nvar stdev_20_50 =\n'\u003cRasterSymbolizer\u003e' +\n '\u003cColorMap type=\"ramp\"\u003e' +\n '\u003cColorMapEntry color=\"#fde725\" label=\"low\" opacity=\"1\" quantity=\"2\"/\u003e' +\n '\u003cColorMapEntry color=\"#5dc962\" label=\" \" opacity=\"1\" quantity=\"4\"/\u003e' +\n '\u003cColorMapEntry color=\"#20908d\" label=\" \" opacity=\"1\" quantity=\"5\"/\u003e' +\n '\u003cColorMapEntry color=\"#3a528b\" label=\" \" opacity=\"1\" quantity=\"7\"/\u003e' +\n '\u003cColorMapEntry color=\"#440154\" label=\"high\" opacity=\"1\" quantity=\"9\"/\u003e' +\n '\u003c/ColorMap\u003e' +\n '\u003cContrastEnhancement/\u003e' +\n'\u003c/RasterSymbolizer\u003e';\n\nvar raw = ee.Image(\"ISDASOIL/Africa/v1/bulk_density\");\nMap.addLayer(\n raw.select(0).sldStyle(mean_0_20), {},\n \"Bulk density, mean visualization, 0-20 cm\");\nMap.addLayer(\n raw.select(1).sldStyle(mean_20_50), {},\n \"Bulk density, mean visualization, 20-50 cm\");\nMap.addLayer(\n raw.select(2).sldStyle(stdev_0_20), {},\n \"Bulk density, stdev visualization, 0-20 cm\");\nMap.addLayer(\n raw.select(3).sldStyle(stdev_20_50), {},\n \"Bulk density, stdev visualization, 20-50 cm\");\n\nvar converted = raw.divide(100);\n\nvar visualization = {min: 1, max: 1.5};\n\nMap.setCenter(25, -3, 2);\n\nMap.addLayer(converted.select(0), visualization, \"Bulk density, mean, 0-20 cm\");\n```\n[Open in Code Editor](https://code.earthengine.google.com/?scriptPath=Examples:Datasets/ISDASOIL/ISDASOIL_Africa_v1_bulk_density) \n[iSDAsoil Bulk Density, \\\u003c2mm Fraction](/earth-engine/datasets/catalog/ISDASOIL_Africa_v1_bulk_density) \nBulk density, \\\u003c2mm fraction at soil depths of 0-20 cm and 20-50 cm, predicted mean and standard deviation. Pixel values must be back-transformed with x/100. In areas of dense jungle (generally over central Africa), model accuracy is low and therefore artifacts such as banding (striping) might be seen. Soil property ... \nISDASOIL/Africa/v1/bulk_density, africa,isda,soil \n2001-01-01T00:00:00Z/2017-01-01T00:00:00Z \n-35.22 -31.46 37.98 57.08 \nGoogle Earth Engine \nhttps://developers.google.com/earth-engine/datasets\n\n- [](https://doi.org/https://isda-africa.com/)\n- [](https://doi.org/https://developers.google.com/earth-engine/datasets/catalog/ISDASOIL_Africa_v1_bulk_density)"]]
