iSDAsoil Extractable Potassium

ISDASOIL/Africa/v1/potassium_extractable
数据集可用性
2001-01-01T00:00:00Z–2017-01-01T00:00:00Z
数据集提供商
Earth Engine 代码段
ee.Image("ISDASOIL/Africa/v1/potassium_extractable")
标签
非洲 isda 土壤
钾

说明

0-20 厘米和 20-50 厘米土壤深度的可提取钾，预测的平均值和标准差。

像素值必须使用 exp(x/10)-1 进行反向转换。

在茂密丛林地区（通常位于非洲中部），模型准确度较低，因此可能会看到条带状伪影。

土壤属性预测由 Innovative Solutions for Decision Agriculture Ltd. (iSDA) 使用机器学习与遥感数据以及超过 10 万个已分析土壤样本的训练集相结合，以 30 米像素大小进行。

如需了解详情，请参阅常见问题解答和技术信息文档。如需提交问题或请求支持，请访问 iSDAsoil 网站。

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 80 米

钾（可提取），0-20 厘米深度的预测平均值
mean_20_50 ppm 0 79 米

钾，可提取，20-50 厘米深度的预测平均值
stdev_0_20 ppm 0 92 米

钾（可提取），0-20 厘米深度的标准差
stdev_20_50 ppm 0 92 米

可提取钾，20-50 厘米深度的标准差

使用条款

使用条款

CC-BY-4.0

引用

引用：

  • Hengl, T.、Miller, M.A.E.，Križan, J. 等人。使用双尺度集成机器学习技术，以 30 米的空间分辨率绘制非洲土壤属性和养分地图。Sci Rep 11, 6130 (2021). doi:10.1038/s41598-021-85639-y

使用 Earth Engine 探索

代码编辑器 (JavaScript)

var mean_0_20 =
'<RasterSymbolizer>' +
 '<ColorMap type="ramp">' +
  '<ColorMapEntry color="#0D0887" label="0-32.1" opacity="1" quantity="35"/>' +
  '<ColorMapEntry color="#350498" label="32.1-43.7" opacity="1" quantity="38"/>' +
  '<ColorMapEntry color="#5402A3" label="43.7-48.4" opacity="1" quantity="39"/>' +
  '<ColorMapEntry color="#7000A8" label="48.4-53.6" opacity="1" quantity="40"/>' +
  '<ColorMapEntry color="#8B0AA5" label="53.6-59.3" opacity="1" quantity="41"/>' +
  '<ColorMapEntry color="#A31E9A" label="59.3-65.7" opacity="1" quantity="42"/>' +
  '<ColorMapEntry color="#B93289" label="65.7-72.7" opacity="1" quantity="43"/>' +
  '<ColorMapEntry color="#CC4678" label="72.7-89" opacity="1" quantity="45"/>' +
  '<ColorMapEntry color="#DB5C68" label="89-98.5" opacity="1" quantity="46"/>' +
  '<ColorMapEntry color="#E97158" label="98.5-108.9" opacity="1" quantity="47"/>' +
  '<ColorMapEntry color="#F48849" label="108.9-120.5" opacity="1" quantity="48"/>' +
  '<ColorMapEntry color="#FBA139" label="120.5-133.3" opacity="1" quantity="49"/>' +
  '<ColorMapEntry color="#FEBC2A" label="133.3-163" opacity="1" quantity="51"/>' +
  '<ColorMapEntry color="#FADA24" label="163-199.3" opacity="1" quantity="53"/>' +
  '<ColorMapEntry color="#F0F921" label="163-1200" opacity="1" quantity="55"/>' +
 '</ColorMap>' +
 '<ContrastEnhancement/>' +
'</RasterSymbolizer>';

var mean_20_50 =
'<RasterSymbolizer>' +
 '<ColorMap type="ramp">' +
  '<ColorMapEntry color="#0D0887" label="0-32.1" opacity="1" quantity="35"/>' +
  '<ColorMapEntry color="#350498" label="32.1-43.7" opacity="1" quantity="38"/>' +
  '<ColorMapEntry color="#5402A3" label="43.7-48.4" opacity="1" quantity="39"/>' +
  '<ColorMapEntry color="#7000A8" label="48.4-53.6" opacity="1" quantity="40"/>' +
  '<ColorMapEntry color="#8B0AA5" label="53.6-59.3" opacity="1" quantity="41"/>' +
  '<ColorMapEntry color="#A31E9A" label="59.3-65.7" opacity="1" quantity="42"/>' +
  '<ColorMapEntry color="#B93289" label="65.7-72.7" opacity="1" quantity="43"/>' +
  '<ColorMapEntry color="#CC4678" label="72.7-89" opacity="1" quantity="45"/>' +
  '<ColorMapEntry color="#DB5C68" label="89-98.5" opacity="1" quantity="46"/>' +
  '<ColorMapEntry color="#E97158" label="98.5-108.9" opacity="1" quantity="47"/>' +
  '<ColorMapEntry color="#F48849" label="108.9-120.5" opacity="1" quantity="48"/>' +
  '<ColorMapEntry color="#FBA139" label="120.5-133.3" opacity="1" quantity="49"/>' +
  '<ColorMapEntry color="#FEBC2A" label="133.3-163" opacity="1" quantity="51"/>' +
  '<ColorMapEntry color="#FADA24" label="163-199.3" opacity="1" quantity="53"/>' +
  '<ColorMapEntry color="#F0F921" label="163-1200" opacity="1" quantity="55"/>' +
 '</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/potassium_extractable");
Map.addLayer(
    raw.select(0).sldStyle(mean_0_20), {},
    "Potassium extractable, mean visualization, 0-20 cm");
Map.addLayer(
    raw.select(1).sldStyle(mean_20_50), {},
    "Potassium extractable, mean visualization, 20-50 cm");
Map.addLayer(
    raw.select(2).sldStyle(stdev_0_20), {},
    "Potassium extractable, stdev visualization, 0-20 cm");
Map.addLayer(
    raw.select(3).sldStyle(stdev_20_50), {},
    "Potassium extractable, stdev visualization, 20-50 cm");

var converted = raw.divide(10).exp().subtract(1);

var visualization = {min: 0, max: 250};

Map.setCenter(25, -3, 2);

Map.addLayer(converted.select(0), visualization, "Potassium extractable, mean, 0-20 cm");
在代码编辑器中打开
0-20 厘米和 20-50 厘米土壤深度的可提取钾，预测的平均值和标准差。像素值必须使用 exp(x/10)-1 进行反向转换。在茂密丛林地区（通常位于非洲中部），模型准确度较低，因此可能会看到条带状伪影。土壤属性预测为…
ISDASOIL/Africa/v1/potassium_extractable, africa,isda,soil
2001-01-01T00:00:00Z/2017-01-01T00:00:00Z
-35.22 -31.46 37.98 57.08
Google Earth Engine