Google Earth Engine（GEE）——美国大陆(CONUS)30米土壤属性概率图数据库

SSURGO(POLARIS)土壤属性的概率重绘--美国大陆(CONUS)30米土壤属性概率图数据库。绘制的CONUS变量包括土壤质地、有机物、pH值、饱和导水率、Brooks-Corey和Van Genuchten保水曲线参数、体积密度和饱和含水量。

文献引用：

Chaney, Nathaniel W., Budiman Minasny, Jonathan D. Herman, Travis W. Nauman, Colby W. Brungard, Cristine LS Morgan Alexander B. McBratney, Eric F. Wood, and Yohannes Yimam. "POLARIS soil properties: 30‐m probabilistic maps of soil properties over the contiguous United States." Water Resources Research 55, no. 4 (2019): 2916-2938.
 

数据特点¶
POLARIS提供了一个空间上连续的、内部一致的、定量预测的土壤系列。它为SSURGO的主要弱点提供了潜在的解决方案：1）利用周边地区的调查数据填补未绘制区域的空白；2）消除政治边界上的人为不连续性；3）使用高分辨率的环境协变量数据导致粗大多边形的空间分解。

该数据集可从地表获得不同深度的数据，而提供的统计数据包括平均数、模式、中位数和百分位数，只有中位数被包括在所创建的集合中。

总体数据集包括处理大约80,000个文件，这些文件在不同深度的每个属性的集合中被转换为单个图像。例如，bd_mean集合包括bd_0_5，代表连续的美国bd值在距离地表0-5厘米深度的单一图像。

数据提供者的说明¶
05/01/2019 - 变量hb、alpha、ksat、om是在log10空间。

05/01/2019 - 由于文件大小的限制，1 arcsec数据库被分割成1x1度的tiffs。每个变量/层/统计数字都有自己的虚拟栅格，作为所有较小的1x1度块的 "粘合剂"。关于虚拟栅格的更多信息，见

 https://www.gdal.org/gdal_vrttut.html.

06/02/2019 - 变量hb和alpha最初报告的单位分别为log10（cm）和log10（cm-1）。这是一个打字错误。正确的单位分别是log10（kPa）和log10（kPa-1）。

代码：

var bd_mean = ee.ImageCollection('projects/sat-io/open-datasets/polaris/bd_mean');
var clay_mean = ee.ImageCollection('projects/sat-io/open-datasets/polaris/clay_mean');
var ksat_mean = ee.ImageCollection('projects/sat-io/open-datasets/polaris/ksat_mean');
var n_mean = ee.ImageCollection('projects/sat-io/open-datasets/polaris/n_mean');
var om_mean = ee.ImageCollection('projects/sat-io/open-datasets/polaris/om_mean');
var ph_mean = ee.ImageCollection('projects/sat-io/open-datasets/polaris/ph_mean');
var sand_mean = ee.ImageCollection('projects/sat-io/open-datasets/polaris/sand_mean');
var silt_mean = ee.ImageCollection('projects/sat-io/open-datasets/polaris/silt_mean');
var theta_r_mean = ee.ImageCollection('projects/sat-io/open-datasets/polaris/theta_r_mean');
var theta_s_mean = ee.ImageCollection('projects/sat-io/open-datasets/polaris/theta_s_mean');
var lambda_mean = ee.ImageCollection('projects/sat-io/open-datasets/polaris/lambda_mean');
var hb_mean = ee.ImageCollection('projects/sat-io/open-datasets/polaris/hb_mean');
var alpha_mean = ee.ImageCollection('projects/sat-io/open-datasets/polaris/alpha_mean');

//Import palette
var palettes = require('users/gena/packages:palettes');

Map.addLayer(bd_mean.first(),{min:0.67,max:1.6,palette:palettes.cmocean.Delta[7]},'bd_mean_0_5',false)
Map.addLayer(clay_mean.first(),{min:3,max:55,palette:palettes.cmocean.Speed[7]},'clay_mean_0_5')
Map.addLayer(ksat_mean.first(),{min:-1,max:1.8,palette:palettes.cmocean.Haline[7]},'ksat_mean_0_5',false)
Map.addLayer(n_mean.first(),{min:1.22,max:1.6,palette:palettes.cmocean.Solar[7]},'n_mean_0_5')
Map.addLayer(om_mean.first(),{min:-0.8,max:1.8,palette:palettes.cmocean.Gray[7]},'om_mean_0_5',false)
Map.addLayer(ph_mean.first(),{min:4,max:9,palette:palettes.cmocean.Oxy[7]},'ph_mean_0_5')
Map.addLayer(sand_mean.first(),{min:5,max:90,palette:palettes.cmocean.Dense[7]},'sand_mean_0_5',false)
Map.addLayer(silt_mean.first(),{min:2,max:80,palette:palettes.cmocean.Curl[7]},'silt_mean_0_5')
Map.addLayer(theta_r_mean.first(),{min:0.022,max:0.15,palette:palettes.cmocean.Algae[7]},'theta_r_mean_0_5',false)
Map.addLayer(theta_s_mean.first(),{min:0.4,max:0.8,palette:palettes.cmocean.Turbid[7]},'theta_s_mean_0_5',false)
Map.addLayer(alpha_mean.first(),{min:-0.15,max:0.2,palette:palettes.cmocean.Speed[7]},'alpha_mean_0_5',false)
Map.addLayer(hb_mean.first(),{min:-0.15,max:0.75,palette:palettes.cmocean.Matter[7]},'hb_mean_0_5',false)
Map.addLayer(lambda_mean.first(),{min:0.2,max:0.5,palette:palettes.cmocean.Balance[7]},'lambda_mean_0_5')

代码连接：

https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/POLARIS-PROBABILISTIC-SOIL-PROPERTIES-30

不适用GEE可以在这里下载: Index of /POLARIS

License¶

POLARIS is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Curated by: Samapriya Roy

Keywords: Digital soil mapping, Soil, Environmental modeling, High performance computing

Last updated dataset: 2019-05-04

Last curated: 2022-03-05