iSDAsoil Clay Content

ISDASOIL/Africa/v1/clay_content
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/clay_content")
标签
非洲 黏土 isda 土壤

说明

土壤深度为 0-20 厘米和 20-50 厘米时的黏土含量,预测的平均值和标准差。 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 % 0 84

黏土含量,0-20 厘米深度的预测平均值

mean_20_50 % 0 78

黏土含量,20-50 厘米深度的预测平均值

stdev_0_20 % 0 90

黏土含量,0-20 厘米深度的标准差

stdev_20_50 % 0 90

20-50 厘米深度的黏土含量标准差

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="#00204D" label="0-8" opacity="1" quantity="8"/>' +
  '<ColorMapEntry color="#002D6C" label="8-14" opacity="1" quantity="14"/>' +
  '<ColorMapEntry color="#16396D" label="14-17" opacity="1" quantity="17"/>' +
  '<ColorMapEntry color="#36476B" label="17-19" opacity="1" quantity="19"/>' +
  '<ColorMapEntry color="#4B546C" label="19-21" opacity="1" quantity="21"/>' +
  '<ColorMapEntry color="#5C616E" label="21-22" opacity="1" quantity="22"/>' +
  '<ColorMapEntry color="#6C6E72" label="22-24" opacity="1" quantity="24"/>' +
  '<ColorMapEntry color="#7C7B78" label="24-25" opacity="1" quantity="25"/>' +
  '<ColorMapEntry color="#8E8A79" label="25-26" opacity="1" quantity="26"/>' +
  '<ColorMapEntry color="#A09877" label="26-28" opacity="1" quantity="28"/>' +
  '<ColorMapEntry color="#B3A772" label="28-30" opacity="1" quantity="30"/>' +
  '<ColorMapEntry color="#C6B66B" label="30-31" opacity="1" quantity="31"/>' +
  '<ColorMapEntry color="#DBC761" label="31-33" opacity="1" quantity="33"/>' +
  '<ColorMapEntry color="#F0D852" label="33-36" opacity="1" quantity="36"/>' +
  '<ColorMapEntry color="#FFEA46" label="36-70" opacity="1" quantity="40"/>' +
 '</ColorMap>' +
 '<ContrastEnhancement/>' +
'</RasterSymbolizer>';

var mean_20_50 =
'<RasterSymbolizer>' +
 '<ColorMap type="ramp">' +
  '<ColorMapEntry color="#00204D" label="0-8" opacity="1" quantity="8"/>' +
  '<ColorMapEntry color="#002D6C" label="8-14" opacity="1" quantity="14"/>' +
  '<ColorMapEntry color="#16396D" label="14-17" opacity="1" quantity="17"/>' +
  '<ColorMapEntry color="#36476B" label="17-19" opacity="1" quantity="19"/>' +
  '<ColorMapEntry color="#4B546C" label="19-21" opacity="1" quantity="21"/>' +
  '<ColorMapEntry color="#5C616E" label="21-22" opacity="1" quantity="22"/>' +
  '<ColorMapEntry color="#6C6E72" label="22-24" opacity="1" quantity="24"/>' +
  '<ColorMapEntry color="#7C7B78" label="24-25" opacity="1" quantity="25"/>' +
  '<ColorMapEntry color="#8E8A79" label="25-26" opacity="1" quantity="26"/>' +
  '<ColorMapEntry color="#A09877" label="26-28" opacity="1" quantity="28"/>' +
  '<ColorMapEntry color="#B3A772" label="28-30" opacity="1" quantity="30"/>' +
  '<ColorMapEntry color="#C6B66B" label="30-31" opacity="1" quantity="31"/>' +
  '<ColorMapEntry color="#DBC761" label="31-33" opacity="1" quantity="33"/>' +
  '<ColorMapEntry color="#F0D852" label="33-36" opacity="1" quantity="36"/>' +
  '<ColorMapEntry color="#FFEA46" label="36-70" opacity="1" quantity="40"/>' +
 '</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="6"/>' +
 '</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="6"/>' +
 '</ColorMap>' +
 '<ContrastEnhancement/>' +
'</RasterSymbolizer>';

var raw = ee.Image("ISDASOIL/Africa/v1/clay_content");
Map.addLayer(
    raw.select(0).sldStyle(mean_0_20), {},
    "Clay content, mean visualization, 0-20 cm");
Map.addLayer(
    raw.select(1).sldStyle(mean_20_50), {},
    "Clay content, mean visualization, 20-50 cm");
Map.addLayer(
    raw.select(2).sldStyle(stdev_0_20), {},
    "Clay content, stdev visualization, 0-20 cm");
Map.addLayer(
    raw.select(3).sldStyle(stdev_20_50), {},
    "Clay content, stdev visualization, 20-50 cm");

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

var visualization = {min: 0, max: 50};

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

Map.addLayer(converted.select(0), visualization, "Clay content, mean, 0-20 cm");
在代码编辑器中打开