iSDAsoil Extractable Zinc
使用集合让一切井井有条
根据您的偏好保存内容并对其进行分类。
- 数据集可用性
- 2001-01-01T00:00:00Z–2017-01-01T00:00:00Z
- 数据集提供商
-
iSDA
- Earth Engine 代码段
-
ee.Image("ISDASOIL/Africa/v1/zinc_extractable")
open_in_new
- 标签
-
非洲
isda
土壤
锌
频段
像素大小
30 米
频段
名称 |
单位 |
最小值 |
最大值 |
像素尺寸 |
说明 |
mean_0_20 |
ppm |
1
|
32
|
米
|
锌(可提取),0-20 厘米深度的预测平均值 |
mean_20_50 |
ppm |
0
|
31
|
米
|
锌,可提取,20-50 厘米深度的预测平均值 |
stdev_0_20 |
ppm |
0
|
11
|
米
|
锌(可提取),0-20 厘米深度的标准差 |
stdev_20_50 |
ppm |
0
|
10
|
米
|
锌,可提取,20-50 厘米深度的标准差 |
使用 Earth Engine 探索
代码编辑器 (JavaScript)
var mean_0_20 =
'<RasterSymbolizer>' +
'<ColorMap type="ramp">' +
'<ColorMapEntry color="#0D0887" label="0-0.6" opacity="1" quantity="5"/>' +
'<ColorMapEntry color="#350498" label="0.6-0.8" opacity="1" quantity="6"/>' +
'<ColorMapEntry color="#5402A3" label="0.8-1" opacity="1" quantity="7"/>' +
'<ColorMapEntry color="#7000A8" label="1-1.2" opacity="1" quantity="8"/>' +
'<ColorMapEntry color="#8B0AA5" label="1.2-1.5" opacity="1" quantity="9"/>' +
'<ColorMapEntry color="#A31E9A" label="1.5-1.7" opacity="1" quantity="10"/>' +
'<ColorMapEntry color="#B93289" label="1.7-2" opacity="1" quantity="11"/>' +
'<ColorMapEntry color="#CC4678" label="2-2.3" opacity="1" quantity="12"/>' +
'<ColorMapEntry color="#DB5C68" label="2.3-2.7" opacity="1" quantity="13"/>' +
'<ColorMapEntry color="#E97158" label="2.7-3.1" opacity="1" quantity="14"/>' +
'<ColorMapEntry color="#F48849" label="3.1-3.5" opacity="1" quantity="15"/>' +
'<ColorMapEntry color="#FBA139" label="3.5-4" opacity="1" quantity="16"/>' +
'<ColorMapEntry color="#FEBC2A" label="4-4.5" opacity="1" quantity="17"/>' +
'<ColorMapEntry color="#FADA24" label="4.5-5" opacity="1" quantity="18"/>' +
'<ColorMapEntry color="#F0F921" label="5-125" opacity="1" quantity="19"/>' +
'</ColorMap>' +
'<ContrastEnhancement/>' +
'</RasterSymbolizer>';
var mean_20_50 =
'<RasterSymbolizer>' +
'<ColorMap type="ramp">' +
'<ColorMapEntry color="#0D0887" label="0-0.6" opacity="1" quantity="5"/>' +
'<ColorMapEntry color="#350498" label="0.6-0.8" opacity="1" quantity="6"/>' +
'<ColorMapEntry color="#5402A3" label="0.8-1" opacity="1" quantity="7"/>' +
'<ColorMapEntry color="#7000A8" label="1-1.2" opacity="1" quantity="8"/>' +
'<ColorMapEntry color="#8B0AA5" label="1.2-1.5" opacity="1" quantity="9"/>' +
'<ColorMapEntry color="#A31E9A" label="1.5-1.7" opacity="1" quantity="10"/>' +
'<ColorMapEntry color="#B93289" label="1.7-2" opacity="1" quantity="11"/>' +
'<ColorMapEntry color="#CC4678" label="2-2.3" opacity="1" quantity="12"/>' +
'<ColorMapEntry color="#DB5C68" label="2.3-2.7" opacity="1" quantity="13"/>' +
'<ColorMapEntry color="#E97158" label="2.7-3.1" opacity="1" quantity="14"/>' +
'<ColorMapEntry color="#F48849" label="3.1-3.5" opacity="1" quantity="15"/>' +
'<ColorMapEntry color="#FBA139" label="3.5-4" opacity="1" quantity="16"/>' +
'<ColorMapEntry color="#FEBC2A" label="4-4.5" opacity="1" quantity="17"/>' +
'<ColorMapEntry color="#FADA24" label="4.5-5" opacity="1" quantity="18"/>' +
'<ColorMapEntry color="#F0F921" label="5-125" opacity="1" quantity="19"/>' +
'</ColorMap>' +
'<ContrastEnhancement/>' +
'</RasterSymbolizer>';
var stdev_0_20 =
'<RasterSymbolizer>' +
'<ColorMap type="ramp">' +
'<ColorMapEntry color="#fde725" label="low" opacity="1" quantity="1"/>' +
'<ColorMapEntry color="#5dc962" label=" " opacity="1" quantity="2"/>' +
'<ColorMapEntry color="#20908d" label=" " opacity="1" quantity="3"/>' +
'<ColorMapEntry color="#3a528b" label=" " opacity="1" quantity="4"/>' +
'<ColorMapEntry color="#440154" label="high" opacity="1" quantity="5"/>' +
'</ColorMap>' +
'<ContrastEnhancement/>' +
'</RasterSymbolizer>';
var stdev_20_50 =
'<RasterSymbolizer>' +
'<ColorMap type="ramp">' +
'<ColorMapEntry color="#fde725" label="low" opacity="1" quantity="1"/>' +
'<ColorMapEntry color="#5dc962" label=" " opacity="1" quantity="2"/>' +
'<ColorMapEntry color="#20908d" label=" " opacity="1" quantity="3"/>' +
'<ColorMapEntry color="#3a528b" label=" " opacity="1" quantity="4"/>' +
'<ColorMapEntry color="#440154" label="high" opacity="1" quantity="5"/>' +
'</ColorMap>' +
'<ContrastEnhancement/>' +
'</RasterSymbolizer>';
var raw = ee.Image("ISDASOIL/Africa/v1/zinc_extractable");
Map.addLayer(
raw.select(0).sldStyle(mean_0_20), {},
"Zinc, extractable, mean visualization, 0-20 cm");
Map.addLayer(
raw.select(1).sldStyle(mean_20_50), {},
"Zinc, extractable, mean visualization, 20-50 cm");
Map.addLayer(
raw.select(2).sldStyle(stdev_0_20), {},
"Zinc, extractable, stdev visualization, 0-20 cm");
Map.addLayer(
raw.select(3).sldStyle(stdev_20_50), {},
"Zinc, extractable, stdev visualization, 20-50 cm");
var converted = raw.divide(10).exp().subtract(1);
var visualization = {min: 0, max: 10};
Map.setCenter(25, -3, 2);
Map.addLayer(converted.select(0), visualization, "Zinc, extractable, mean, 0-20 cm");
在代码编辑器中打开
[null,null,[],[[["\u003cp\u003eThis dataset provides the predicted mean and standard deviation of extractable zinc in African soil at two depths (0-20 cm and 20-50 cm).\u003c/p\u003e\n"],["\u003cp\u003eThe data covers the period from 2001 to 2017 and was produced by iSDA using machine learning and remote sensing data.\u003c/p\u003e\n"],["\u003cp\u003ePixel values require back-transformation using the formula \u003ccode\u003eexp(x/10)-1\u003c/code\u003e to obtain the actual zinc concentration in ppm.\u003c/p\u003e\n"],["\u003cp\u003eModel accuracy is reduced in dense jungle areas, potentially leading to visual artifacts like banding.\u003c/p\u003e\n"],["\u003cp\u003eThe dataset is available under the CC-BY-4.0 license and can be accessed through Google Earth Engine.\u003c/p\u003e\n"]]],[],null,["# iSDAsoil Extractable Zinc\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) \nzinc \n\n#### Description\n\nExtractable zinc at soil depths of 0-20 cm and 20-50 cm,\npredicted mean and standard deviation.\n\nPixel values must be back-transformed with `exp(x/10)-1`.\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` | ppm | 1 | 32 | meters | Zinc, extractable, predicted mean at 0-20 cm depth |\n| `mean_20_50` | ppm | 0 | 31 | meters | Zinc, extractable, predicted mean at 20-50 cm depth |\n| `stdev_0_20` | ppm | 0 | 11 | meters | Zinc, extractable, standard deviation at 0-20 cm depth |\n| `stdev_20_50` | ppm | 0 | 10 | meters | Zinc, extractable, 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=\"#0D0887\" label=\"0-0.6\" opacity=\"1\" quantity=\"5\"/\u003e' +\n '\u003cColorMapEntry color=\"#350498\" label=\"0.6-0.8\" opacity=\"1\" quantity=\"6\"/\u003e' +\n '\u003cColorMapEntry color=\"#5402A3\" label=\"0.8-1\" opacity=\"1\" quantity=\"7\"/\u003e' +\n '\u003cColorMapEntry color=\"#7000A8\" label=\"1-1.2\" opacity=\"1\" quantity=\"8\"/\u003e' +\n '\u003cColorMapEntry color=\"#8B0AA5\" label=\"1.2-1.5\" opacity=\"1\" quantity=\"9\"/\u003e' +\n '\u003cColorMapEntry color=\"#A31E9A\" label=\"1.5-1.7\" opacity=\"1\" quantity=\"10\"/\u003e' +\n '\u003cColorMapEntry color=\"#B93289\" label=\"1.7-2\" opacity=\"1\" quantity=\"11\"/\u003e' +\n '\u003cColorMapEntry color=\"#CC4678\" label=\"2-2.3\" opacity=\"1\" quantity=\"12\"/\u003e' +\n '\u003cColorMapEntry color=\"#DB5C68\" label=\"2.3-2.7\" opacity=\"1\" quantity=\"13\"/\u003e' +\n '\u003cColorMapEntry color=\"#E97158\" label=\"2.7-3.1\" opacity=\"1\" quantity=\"14\"/\u003e' +\n '\u003cColorMapEntry color=\"#F48849\" label=\"3.1-3.5\" opacity=\"1\" quantity=\"15\"/\u003e' +\n '\u003cColorMapEntry color=\"#FBA139\" label=\"3.5-4\" opacity=\"1\" quantity=\"16\"/\u003e' +\n '\u003cColorMapEntry color=\"#FEBC2A\" label=\"4-4.5\" opacity=\"1\" quantity=\"17\"/\u003e' +\n '\u003cColorMapEntry color=\"#FADA24\" label=\"4.5-5\" opacity=\"1\" quantity=\"18\"/\u003e' +\n '\u003cColorMapEntry color=\"#F0F921\" label=\"5-125\" opacity=\"1\" quantity=\"19\"/\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=\"#0D0887\" label=\"0-0.6\" opacity=\"1\" quantity=\"5\"/\u003e' +\n '\u003cColorMapEntry color=\"#350498\" label=\"0.6-0.8\" opacity=\"1\" quantity=\"6\"/\u003e' +\n '\u003cColorMapEntry color=\"#5402A3\" label=\"0.8-1\" opacity=\"1\" quantity=\"7\"/\u003e' +\n '\u003cColorMapEntry color=\"#7000A8\" label=\"1-1.2\" opacity=\"1\" quantity=\"8\"/\u003e' +\n '\u003cColorMapEntry color=\"#8B0AA5\" label=\"1.2-1.5\" opacity=\"1\" quantity=\"9\"/\u003e' +\n '\u003cColorMapEntry color=\"#A31E9A\" label=\"1.5-1.7\" opacity=\"1\" quantity=\"10\"/\u003e' +\n '\u003cColorMapEntry color=\"#B93289\" label=\"1.7-2\" opacity=\"1\" quantity=\"11\"/\u003e' +\n '\u003cColorMapEntry color=\"#CC4678\" label=\"2-2.3\" opacity=\"1\" quantity=\"12\"/\u003e' +\n '\u003cColorMapEntry color=\"#DB5C68\" label=\"2.3-2.7\" opacity=\"1\" quantity=\"13\"/\u003e' +\n '\u003cColorMapEntry color=\"#E97158\" label=\"2.7-3.1\" opacity=\"1\" quantity=\"14\"/\u003e' +\n '\u003cColorMapEntry color=\"#F48849\" label=\"3.1-3.5\" opacity=\"1\" quantity=\"15\"/\u003e' +\n '\u003cColorMapEntry color=\"#FBA139\" label=\"3.5-4\" opacity=\"1\" quantity=\"16\"/\u003e' +\n '\u003cColorMapEntry color=\"#FEBC2A\" label=\"4-4.5\" opacity=\"1\" quantity=\"17\"/\u003e' +\n '\u003cColorMapEntry color=\"#FADA24\" label=\"4.5-5\" opacity=\"1\" quantity=\"18\"/\u003e' +\n '\u003cColorMapEntry color=\"#F0F921\" label=\"5-125\" opacity=\"1\" quantity=\"19\"/\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=\"1\"/\u003e' +\n '\u003cColorMapEntry color=\"#5dc962\" label=\" \" opacity=\"1\" quantity=\"2\"/\u003e' +\n '\u003cColorMapEntry color=\"#20908d\" label=\" \" opacity=\"1\" quantity=\"3\"/\u003e' +\n '\u003cColorMapEntry color=\"#3a528b\" label=\" \" opacity=\"1\" quantity=\"4\"/\u003e' +\n '\u003cColorMapEntry color=\"#440154\" label=\"high\" opacity=\"1\" quantity=\"5\"/\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=\"1\"/\u003e' +\n '\u003cColorMapEntry color=\"#5dc962\" label=\" \" opacity=\"1\" quantity=\"2\"/\u003e' +\n '\u003cColorMapEntry color=\"#20908d\" label=\" \" opacity=\"1\" quantity=\"3\"/\u003e' +\n '\u003cColorMapEntry color=\"#3a528b\" label=\" \" opacity=\"1\" quantity=\"4\"/\u003e' +\n '\u003cColorMapEntry color=\"#440154\" label=\"high\" opacity=\"1\" quantity=\"5\"/\u003e' +\n '\u003c/ColorMap\u003e' +\n '\u003cContrastEnhancement/\u003e' +\n'\u003c/RasterSymbolizer\u003e';\n\nvar raw = ee.Image(\"ISDASOIL/Africa/v1/zinc_extractable\");\nMap.addLayer(\n raw.select(0).sldStyle(mean_0_20), {},\n \"Zinc, extractable, mean visualization, 0-20 cm\");\nMap.addLayer(\n raw.select(1).sldStyle(mean_20_50), {},\n \"Zinc, extractable, mean visualization, 20-50 cm\");\nMap.addLayer(\n raw.select(2).sldStyle(stdev_0_20), {},\n \"Zinc, extractable, stdev visualization, 0-20 cm\");\nMap.addLayer(\n raw.select(3).sldStyle(stdev_20_50), {},\n \"Zinc, extractable, stdev visualization, 20-50 cm\");\n\nvar converted = raw.divide(10).exp().subtract(1);\n\nvar visualization = {min: 0, max: 10};\n\nMap.setCenter(25, -3, 2);\n\nMap.addLayer(converted.select(0), visualization, \"Zinc, extractable, mean, 0-20 cm\");\n```\n[Open in Code Editor](https://code.earthengine.google.com/?scriptPath=Examples:Datasets/ISDASOIL/ISDASOIL_Africa_v1_zinc_extractable) \n[iSDAsoil Extractable Zinc](/earth-engine/datasets/catalog/ISDASOIL_Africa_v1_zinc_extractable) \nExtractable zinc at soil depths of 0-20 cm and 20-50 cm, predicted mean and standard deviation. Pixel values must be back-transformed with exp(x/10)-1. 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 predictions were ... \nISDASOIL/Africa/v1/zinc_extractable, 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_zinc_extractable)"]]