Google Earth Engine——全球250米处预测的土壤数据（概率）制作来自美国农业部

Predicted USDA soil great groups at 250 m (probabilities).

Distribution of the USDA soil great groups based on machine learning predictions from global compilation of soil profiles. To learn more about soil great groups please refer to the Illustrated Guide to Soil Taxonomy - NRCS - USDA . Processing steps are described in detail here . Antartica is not included.

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  250米处预测的美国农业部土壤大组（概率）。

  根据全球土壤剖面汇编的机器学习预测，美国农业部土壤大组的分布。要了解更多关于土壤大类的信息，请参考《土壤分类法图解指南》 - NRCS - USDA 。这里详细描述了处理步骤。南极洲不包括在内。

  要访问和可视化地球引擎以外的地图，请使用这个页面。

  如果您发现LandGIS地图中的错误、伪装或不一致之处，或者您有问题，请使用以下渠道。

  关于代码的技术问题和疑问
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Dataset Availability

1950-01-01T00:00:00 - 2018-01-01T00:00:00

Dataset Provider

EnvirometriX Ltd

Collection Snippet

ee.Image("OpenLandMap/SOL/SOL_GRTGROUP_USDA-SOILTAX-HAPLUDALFS_P/v01")

Resolution

250 meters

Bands Table

* = Values are estimated

引用：

Tomislav Hengl, & Travis Nauman. (2018). Predicted USDA soil great groups at 250 m (probabilities) (Version v01) [Data set]. Zenodo. 10.5281/zenodo.1476844

Predicted USDA soil great groups at 250 m (probabilities) | Zenodo

  

   

    

     

    
    

     

      var dataset = ee.Image("OpenLandMap/SOL/SOL_GRTGROUP_USDA-SOILTAX-HAPLUDALFS_P/v01");
     
    
   

    

     

    
    

     
 
     
    
   

    

     

    
    

     

      var visualization = {
     
    
   

    

     

    
    

     
  bands: ['grtgroup'],
     
    
   

    

     

    
    

     
  min: 0.0,
     
    
   

    

     

    
    

     
  max: 35.0,
     
    
   

    

     

    
    

     
  palette: ['ffffb2', 'fecc5c', 'fd8d3c', 'f03b20', 'bd0026']
     
    
   

    

     

    
    

     

      };
     
    
   

    

     

    
    

     
 
     
    
   

    

     

    
    

     

      Map.centerObject(dataset);
     
    
   

    

     

    
    

     
 
     
    
   

    

     

    
    

     

      Map.addLayer(dataset, visualization, "Hapludalfs");
     
    
  
 

文章来源: blog.csdn.net，作者：此星光明2021年博客之星云计算Top3，版权归原作者所有，如需转载，请联系作者。

原文链接：blog.csdn.net/qq_31988139/article/details/120601859