iSDAsoil Extractable Calcium
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Lưu và phân loại nội dung dựa trên lựa chọn ưu tiên của bạn.
Phạm vi cung cấp tập dữ liệu
2001-01-01T00:00:00Z–2017-01-01T00:00:00Z
Nhà cung cấp tập dữ liệu
iSDA
Đoạn mã Earth Engine
ee.Image("ISDASOIL/Africa/v1/calcium_extractable")
open_in_new
Thẻ
africa
isda
soil
canxi
Mô tả
Lượng canxi có thể chiết xuất ở độ sâu 0-20 cm và 20-50 cm của đất, giá trị trung bình và độ lệch chuẩn dự đoán.
Bạn phải chuyển đổi ngược các giá trị pixel bằng exp(x/10)-1.
Ở những khu vực có rừng rậm (thường là ở Trung Phi), độ chính xác của mô hình thấp và do đó, bạn có thể thấy các hiện tượng như dải màu (vệt sọc).
Công ty Innovative Solutions for Decision Agriculture Ltd. (iSDA) đã đưa ra dự đoán về đặc tính của đất ở kích thước pixel 30 m bằng cách sử dụng công nghệ học máy kết hợp với dữ liệu viễn thám và một bộ dữ liệu huấn luyện gồm hơn 100.000 mẫu đất đã phân tích.
Bạn có thể xem thêm thông tin trong Câu hỏi thường gặp và tài liệu về thông tin kỹ thuật . Để gửi vấn đề hoặc yêu cầu hỗ trợ, vui lòng truy cập trang web iSDAsoil .
Băng tần
Kích thước pixel
Băng tần
Tên
Đơn vị
Tối thiểu
Tối đa
Kích thước pixel
Mô tả
mean_0_20ppm
20
100
mét
Canxi, có thể chiết xuất, giá trị trung bình dự đoán ở độ sâu 0-20 cm
mean_20_50ppm
14
100
mét
Canxi, có thể chiết xuất, giá trị trung bình dự đoán ở độ sâu 20-50 cm
stdev_0_20ppm
0
62
mét
Canxi, có thể chiết xuất, độ lệch chuẩn ở độ sâu 0-20 cm
stdev_20_50ppm
0
63
mét
Canxi, có thể chiết xuất, độ lệch chuẩn ở độ sâu 20-50 cm
Điều khoản sử dụng
Điều khoản sử dụng
CC-BY-4.0
Trích dẫn
Hengl, T., Miller, M.A.E., Križan, J., và cộng sự. Các thuộc tính và chất dinh dưỡng của đất ở Châu Phi được lập bản đồ ở độ phân giải không gian 30 m bằng cách sử dụng mô hình học máy kết hợp hai tỷ lệ.
Sci Rep 11, 6130 (2021).
doi:10.1038/s41598-021-85639-y
Khám phá bằng Earth Engine
Lưu ý quan trọng:
Earth Engine là một nền tảng để phân tích khoa học và trực quan hoá các tập dữ liệu không gian địa lý ở quy mô petabyte, vừa mang lại lợi ích cho cộng đồng, vừa phục vụ người dùng doanh nghiệp và chính phủ.
Bạn có thể sử dụng Earth Engine miễn phí cho mục đích nghiên cứu, giáo dục và phi lợi nhuận. Để bắt đầu, vui lòng đăng ký quyền truy cập vào Earth Engine .
Trình soạn thảo mã (JavaScript)
var mean_0_20 =
'<RasterSymbolizer>' +
'<ColorMap type="ramp">' +
'<ColorMapEntry color="#0D0887" label="0-65.7" opacity="1" quantity="42"/>' +
'<ColorMapEntry color="#350498" label="65.7-120.5" opacity="1" quantity="48"/>' +
'<ColorMapEntry color="#5402A3" label="120.5-163" opacity="1" quantity="51"/>' +
'<ColorMapEntry color="#7000A8" label="163-199.3" opacity="1" quantity="53"/>' +
'<ColorMapEntry color="#8B0AA5" label="199.3-269.4" opacity="1" quantity="56"/>' +
'<ColorMapEntry color="#A31E9A" label="269.4-329.3" opacity="1" quantity="58"/>' +
'<ColorMapEntry color="#B93289" label="329.3-402.4" opacity="1" quantity="60"/>' +
'<ColorMapEntry color="#CC4678" label="402.4-491.7" opacity="1" quantity="62"/>' +
'<ColorMapEntry color="#DB5C68" label="491.7-600.8" opacity="1" quantity="64"/>' +
'<ColorMapEntry color="#E97158" label="600.8-664.1" opacity="1" quantity="65"/>' +
'<ColorMapEntry color="#F48849" label="664.1-811.4" opacity="1" quantity="67"/>' +
'<ColorMapEntry color="#FBA139" label="811.4-896.8" opacity="1" quantity="68"/>' +
'<ColorMapEntry color="#FEBC2A" label="896.8-1095.6" opacity="1" quantity="70"/>' +
'<ColorMapEntry color="#FADA24" label="1095.6-1479.3" opacity="1" quantity="73"/>' +
'<ColorMapEntry color="#F0F921" label="1479.3-12000" opacity="1" quantity="77"/>' +
'</ColorMap>' +
'<ContrastEnhancement/>' +
'</RasterSymbolizer>' ;
var mean_20_50 =
'<RasterSymbolizer>' +
'<ColorMap type="ramp">' +
'<ColorMapEntry color="#0D0887" label="0-65.7" opacity="1" quantity="42"/>' +
'<ColorMapEntry color="#350498" label="65.7-120.5" opacity="1" quantity="48"/>' +
'<ColorMapEntry color="#5402A3" label="120.5-163" opacity="1" quantity="51"/>' +
'<ColorMapEntry color="#7000A8" label="163-199.3" opacity="1" quantity="53"/>' +
'<ColorMapEntry color="#8B0AA5" label="199.3-269.4" opacity="1" quantity="56"/>' +
'<ColorMapEntry color="#A31E9A" label="269.4-329.3" opacity="1" quantity="58"/>' +
'<ColorMapEntry color="#B93289" label="329.3-402.4" opacity="1" quantity="60"/>' +
'<ColorMapEntry color="#CC4678" label="402.4-491.7" opacity="1" quantity="62"/>' +
'<ColorMapEntry color="#DB5C68" label="491.7-600.8" opacity="1" quantity="64"/>' +
'<ColorMapEntry color="#E97158" label="600.8-664.1" opacity="1" quantity="65"/>' +
'<ColorMapEntry color="#F48849" label="664.1-811.4" opacity="1" quantity="67"/>' +
'<ColorMapEntry color="#FBA139" label="811.4-896.8" opacity="1" quantity="68"/>' +
'<ColorMapEntry color="#FEBC2A" label="896.8-1095.6" opacity="1" quantity="70"/>' +
'<ColorMapEntry color="#FADA24" label="1095.6-1479.3" opacity="1" quantity="73"/>' +
'<ColorMapEntry color="#F0F921" label="1479.3-12000" opacity="1" quantity="77"/>' +
'</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/calcium_extractable" );
Map . addLayer (
raw . select ( 0 ). sldStyle ( mean_0_20 ), {},
"Calcium, extractable, mean visualization, 0-20 cm" );
Map . addLayer (
raw . select ( 1 ). sldStyle ( mean_20_50 ), {},
"Calcium, extractable, mean visualization, 20-50 cm" );
Map . addLayer (
raw . select ( 2 ). sldStyle ( stdev_0_20 ), {},
"Calcium, extractable, stdev visualization, 0-20 cm" );
Map . addLayer (
raw . select ( 3 ). sldStyle ( stdev_20_50 ), {},
"Calcium, extractable, stdev visualization, 20-50 cm" );
var converted = raw . divide ( 10 ). exp (). subtract ( 1 );
var visualization = { min : 100 , max : 2000 };
Map . setCenter ( 25 , - 3 , 2 );
Map . addLayer ( converted . select ( 0 ), visualization , "Calcium, extractable, mean, 0-20 cm" );
Mở trong Trình soạn thảo mã
[null,null,[],[[["\u003cp\u003eThis dataset provides the predicted mean and standard deviation of extractable calcium 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.\u003c/p\u003e\n"],["\u003cp\u003ePixel values require back-transformation using the formula \u003ccode\u003eexp(x/10)-1\u003c/code\u003e to obtain actual calcium concentrations in ppm.\u003c/p\u003e\n"],["\u003cp\u003eThe dataset has a 30-meter resolution and may exhibit lower accuracy in dense jungle regions of central Africa.\u003c/p\u003e\n"],["\u003cp\u003eUsers can access this dataset through Google Earth Engine and are encouraged to consult the provided resources for detailed information and support.\u003c/p\u003e\n"]]],[],null,["# iSDAsoil Extractable Calcium\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) \ncalcium \n\n#### Description\n\nExtractable calcium 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 | 20 | 100 | meters | Calcium, extractable, predicted mean at 0-20 cm depth |\n| `mean_20_50` | ppm | 14 | 100 | meters | Calcium, extractable, predicted mean at 20-50 cm depth |\n| `stdev_0_20` | ppm | 0 | 62 | meters | Calcium, extractable, standard deviation at 0-20 cm depth |\n| `stdev_20_50` | ppm | 0 | 63 | meters | Calcium, 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=\"0-65.7\" opacity=\"1\" quantity=\"42\"/\u003e' +\n '\u003cColorMapEntry color=\"#350498\" label=\"65.7-120.5\" opacity=\"1\" quantity=\"48\"/\u003e' +\n '\u003cColorMapEntry color=\"#5402A3\" label=\"120.5-163\" opacity=\"1\" quantity=\"51\"/\u003e' +\n '\u003cColorMapEntry color=\"#7000A8\" label=\"163-199.3\" opacity=\"1\" quantity=\"53\"/\u003e' +\n '\u003cColorMapEntry color=\"#8B0AA5\" label=\"199.3-269.4\" opacity=\"1\" quantity=\"56\"/\u003e' +\n '\u003cColorMapEntry color=\"#A31E9A\" label=\"269.4-329.3\" opacity=\"1\" quantity=\"58\"/\u003e' +\n '\u003cColorMapEntry color=\"#B93289\" label=\"329.3-402.4\" opacity=\"1\" quantity=\"60\"/\u003e' +\n '\u003cColorMapEntry color=\"#CC4678\" label=\"402.4-491.7\" opacity=\"1\" quantity=\"62\"/\u003e' +\n '\u003cColorMapEntry color=\"#DB5C68\" label=\"491.7-600.8\" opacity=\"1\" quantity=\"64\"/\u003e' +\n '\u003cColorMapEntry color=\"#E97158\" label=\"600.8-664.1\" opacity=\"1\" quantity=\"65\"/\u003e' +\n '\u003cColorMapEntry color=\"#F48849\" label=\"664.1-811.4\" opacity=\"1\" quantity=\"67\"/\u003e' +\n '\u003cColorMapEntry color=\"#FBA139\" label=\"811.4-896.8\" opacity=\"1\" quantity=\"68\"/\u003e' +\n '\u003cColorMapEntry color=\"#FEBC2A\" label=\"896.8-1095.6\" opacity=\"1\" quantity=\"70\"/\u003e' +\n '\u003cColorMapEntry color=\"#FADA24\" label=\"1095.6-1479.3\" opacity=\"1\" quantity=\"73\"/\u003e' +\n '\u003cColorMapEntry color=\"#F0F921\" label=\"1479.3-12000\" opacity=\"1\" quantity=\"77\"/\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=\"0-65.7\" opacity=\"1\" quantity=\"42\"/\u003e' +\n '\u003cColorMapEntry color=\"#350498\" label=\"65.7-120.5\" opacity=\"1\" quantity=\"48\"/\u003e' +\n '\u003cColorMapEntry color=\"#5402A3\" label=\"120.5-163\" opacity=\"1\" quantity=\"51\"/\u003e' +\n '\u003cColorMapEntry color=\"#7000A8\" label=\"163-199.3\" opacity=\"1\" quantity=\"53\"/\u003e' +\n '\u003cColorMapEntry color=\"#8B0AA5\" label=\"199.3-269.4\" opacity=\"1\" quantity=\"56\"/\u003e' +\n '\u003cColorMapEntry color=\"#A31E9A\" label=\"269.4-329.3\" opacity=\"1\" quantity=\"58\"/\u003e' +\n '\u003cColorMapEntry color=\"#B93289\" label=\"329.3-402.4\" opacity=\"1\" quantity=\"60\"/\u003e' +\n '\u003cColorMapEntry color=\"#CC4678\" label=\"402.4-491.7\" opacity=\"1\" quantity=\"62\"/\u003e' +\n '\u003cColorMapEntry color=\"#DB5C68\" label=\"491.7-600.8\" opacity=\"1\" quantity=\"64\"/\u003e' +\n '\u003cColorMapEntry color=\"#E97158\" label=\"600.8-664.1\" opacity=\"1\" quantity=\"65\"/\u003e' +\n '\u003cColorMapEntry color=\"#F48849\" label=\"664.1-811.4\" opacity=\"1\" quantity=\"67\"/\u003e' +\n '\u003cColorMapEntry color=\"#FBA139\" label=\"811.4-896.8\" opacity=\"1\" quantity=\"68\"/\u003e' +\n '\u003cColorMapEntry color=\"#FEBC2A\" label=\"896.8-1095.6\" opacity=\"1\" quantity=\"70\"/\u003e' +\n '\u003cColorMapEntry color=\"#FADA24\" label=\"1095.6-1479.3\" opacity=\"1\" quantity=\"73\"/\u003e' +\n '\u003cColorMapEntry color=\"#F0F921\" label=\"1479.3-12000\" opacity=\"1\" quantity=\"77\"/\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/calcium_extractable\");\nMap.addLayer(\n raw.select(0).sldStyle(mean_0_20), {},\n \"Calcium, extractable, mean visualization, 0-20 cm\");\nMap.addLayer(\n raw.select(1).sldStyle(mean_20_50), {},\n \"Calcium, extractable, mean visualization, 20-50 cm\");\nMap.addLayer(\n raw.select(2).sldStyle(stdev_0_20), {},\n \"Calcium, extractable, stdev visualization, 0-20 cm\");\nMap.addLayer(\n raw.select(3).sldStyle(stdev_20_50), {},\n \"Calcium, extractable, stdev visualization, 20-50 cm\");\n\nvar converted = raw.divide(10).exp().subtract(1);\n\nvar visualization = {min: 100, max: 2000};\n\nMap.setCenter(25, -3, 2);\n\nMap.addLayer(converted.select(0), visualization, \"Calcium, extractable, mean, 0-20 cm\");\n```\n[Open in Code Editor](https://code.earthengine.google.com/?scriptPath=Examples:Datasets/ISDASOIL/ISDASOIL_Africa_v1_calcium_extractable) \n[iSDAsoil Extractable Calcium](/earth-engine/datasets/catalog/ISDASOIL_Africa_v1_calcium_extractable) \nExtractable calcium 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/calcium_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_calcium_extractable)"]]
