Google Earth Engine——全球土壤含数量数据：6个标准深度（0、10、30、60、100和200厘米）以250米的分辨率预测的33kPa和1500kPa吸力的土壤含水量（体积百分比）。

Soil water content (volumetric %) for 33kPa and 1500kPa suctions predicted at 6 standard depths (0, 10, 30, 60, 100 and 200 cm) at 250 m resolution

Training points are based on a global compilation of soil profiles:

• ​​USDA NCSS​​
• ​​AfSPDB​​
• ​​ISRIC WISE​​
• ​​EGRPR​​
• ​​SPADE​​
• ​​CanNPDB​​
• ​​UNSODA​​
• ​​SWIG​​
• ​​HYBRAS​​
• ​​HydroS​​

Data import steps are available ​​here​​​. Spatial prediction steps are described in detail ​​here​​​. Note: these are actually measured and mapped soil content values; no Pedo-Transfer-Functions have been used (except to fill in the missing NCSS bulk densities). Available water capacity in mm (derived as a difference between field capacity and wilting point multiplied by layer thickness) per layer is available ​​here​​. Antartica is not included.

To access and visualize maps outside of Earth Engine, use ​​this page​​.

在6个标准深度（0、10、30、60、100和200厘米）以250米的分辨率预测的33kPa和1500kPa吸力的土壤含水量（体积百分比）。

训练点是基于全球土壤剖面的汇编。

美国农业部NCSS
阿福克斯坦
ISRIC WISE
EGRPR
SPADE
CanNPDB
贸发局
SWIG
水利部
氢氧化钠
数据导入步骤见此。空间预测的步骤在此详细说明。注意：这些都是实际测量和绘制的土壤含量值；没有使用Pedo-Transfer-Functions（除了填补缺少的NCSS的体积密度）。这里提供了每层的可用水容量，单位是毫米（以田间容量和枯萎点之间的差值乘以层厚得出）。南极洲不包括在内。

要访问和查看地球引擎以外的地图，请使用此页面。

Dataset Availability

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

Dataset Provider

​​EnvirometriX Ltd​​

Collection Snippet

​​ee.Image("OpenLandMap/SOL/SOL_WATERCONTENT-33KPA_USDA-4B1C_M/v01")​​

Resolution

250 meters

Bands Table

* = Values are estimated

数据引用：

Tomislav Hengl, & Surya Gupta. (2019). Soil water content (volumetric %) for 33kPa and 1500kPa suctions predicted at 6 standard depths (0, 10, 30, 60, 100 and 200 cm) at 250 m resolution (Version v01) [Data set]. Zenodo. ​​10.5281/zenodo.2629589​​

​​Soil water content (volumetric %) for 33kPa and 1500kPa suctions predicted at 6 standard depths (0, 10, 30, 60, 100 and 200 cm) at 250 m resolution | Zenodo​​

代码：

var dataset = ee.Image("OpenLandMap/SOL/SOL_WATERCONTENT-33KPA_USDA-4B1C_M/v01");

var visualization = {
  bands: ['b0'],
  min: 0.0,
  max: 52.9740182135385,
  palette: [
    "d29642","eec764","b4ee87","32eeeb","0c78ee","2601b7",
    "083371",
  ]
};

Map.centerObject(dataset);

Map.addLayer(dataset, visualization, "Soil water content at 33kPa (field capacity)");