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)");