![ISDASOIL/Africa/v1/bedrock_depth](https://developers.google.com/earth-engine/datasets/images/ISDASOIL/ISDASOIL_Africa_v1_bedrock_depth_sample.png)

Dataset Availability
:   2001-01-01T00:00:00Z--2017-01-01T00:00:00Z

Dataset Producer
:


    [iSDA](https://isda-africa.com/)

Tags
:
    [africa](https://developers.google.com/earth-engine/datasets/tags/africa) [bedrock](https://developers.google.com/earth-engine/datasets/tags/bedrock) [isda](https://developers.google.com/earth-engine/datasets/tags/isda) [soil](https://developers.google.com/earth-engine/datasets/tags/soil)

#### Description

Depth to bedrock at 0-200 cm depth, predicted mean and standard deviation.

Due to the potential cropland mask that was used for generating the data,
many areas of exposed rock (where depth to bedrock would be 0 cm) have been
masked out and therefore appear as nodata values. The maximum depth of this
layer is 200 cm, but this does not represent the maximum possible soil depth,
therefore values of 200 should be interpreted as \>= 200.

In areas of dense jungle (generally over central Africa), model accuracy is
low and therefore artifacts such as banding (striping) might be seen.

Soil property predictions were made by
[Innovative Solutions for Decision Agriculture Ltd. (iSDA)](https://isda-africa.com/)
at 30 m pixel size using machine learning coupled with remote sensing data
and a training set of over 100,000 analyzed soil samples.

Further information can be found in the
[FAQ](https://www.isda-africa.com/isdasoil/faq/) and
[technical information documentation](https://www.isda-africa.com/isdasoil/technical-information/). To submit an issue or request support, please visit
[the iSDAsoil site](https://isda-africa.com/isdasoil).

### Bands

**Bands**

Pixel size: 30 meters (all bands)

| Name | Units | Min | Max | Pixel Size | Description |
|---|---|---|---|---|---|
| `mean_0_200` | cm | 27 | 200 | 30 meters | Depth to bedrock, predicted mean at 0-200 cm depth |
| `stdev_0_200` | cm | 9 | 254 | 30 meters | Depth to bedrock, standard deviation at 0-20 cm depth |

### Terms of Use

**Terms of Use**

[CC-BY-4.0](https://spdx.org/licenses/CC-BY-4.0.html)

### Citations

Citations:

- Hengl, T., Miller, M.A.E., Križan, J., et al. African soil properties and nutrients
  mapped at 30 m spatial resolution using two-scale ensemble machine learning.
  Sci Rep 11, 6130 (2021).
  [doi:10.1038/s41598-021-85639-y](https://doi.org/10.1038/s41598-021-85639-y)

### Explore with Earth Engine

> [!NOTE]
> **Important:** Earth Engine is a platform for petabyte-scale scientific analysis and visualization of geospatial datasets, both for public benefit and for business and government users. Earth Engine is free to use for research, education, and nonprofit use. To get started, please [register for Earth Engine access.](https://console.cloud.google.com/earth-engine)

### Code Editor (JavaScript)

```javascript
var mean_0_200 =
'<RasterSymbolizer>' +
 '<ColorMap type="ramp">' +
  '<ColorMapEntry color="#00204D" label="0-13" opacity="1" quantity="13"/>' +
  '<ColorMapEntry color="#002D6C" label="13-26" opacity="1" quantity="26"/>' +
  '<ColorMapEntry color="#16396D" label="26-39" opacity="1" quantity="39"/>' +
  '<ColorMapEntry color="#36476B" label="39-52" opacity="1" quantity="52"/>' +
  '<ColorMapEntry color="#4B546C" label="52-65" opacity="1" quantity="65"/>' +
  '<ColorMapEntry color="#5C616E" label="65-78" opacity="1" quantity="78"/>' +
  '<ColorMapEntry color="#6C6E72" label="78-91" opacity="1" quantity="91"/>' +
  '<ColorMapEntry color="#7C7B78" label="91-104" opacity="1" quantity="104"/>' +
  '<ColorMapEntry color="#8E8A79" label="104-117" opacity="1" quantity="117"/>' +
  '<ColorMapEntry color="#A09877" label="117-130" opacity="1" quantity="130"/>' +
  '<ColorMapEntry color="#B3A772" label="130-143" opacity="1" quantity="143"/>' +
  '<ColorMapEntry color="#C6B66B" label="143-156" opacity="1" quantity="156"/>' +
  '<ColorMapEntry color="#DBC761" label="156-169" opacity="1" quantity="169"/>' +
  '<ColorMapEntry color="#F0D852" label="169-182" opacity="1" quantity="182"/>' +
  '<ColorMapEntry color="#FFEA46" label="182-200" opacity="1" quantity="195"/>' +
 '</ColorMap>' +
 '<ContrastEnhancement/>' +
'</RasterSymbolizer>';

var stdev_0_200 =
'<RasterSymbolizer>' +
 '<ColorMap type="ramp">' +
  '<ColorMapEntry color="#fde725" label="low" opacity="1" quantity="14"/>' +
  '<ColorMapEntry color="#5dc962" label=" " opacity="1" quantity="18"/>' +
  '<ColorMapEntry color="#20908d" label=" " opacity="1" quantity="21"/>' +
  '<ColorMapEntry color="#3a528b" label=" " opacity="1" quantity="22"/>' +
  '<ColorMapEntry color="#440154" label="high" opacity="1" quantity="25"/>' +
 '</ColorMap>' +
 '<ContrastEnhancement/>' +
'</RasterSymbolizer>';

var raw = ee.Image("ISDASOIL/Africa/v1/bedrock_depth");
Map.addLayer(
    raw.select(0).sldStyle(mean_0_200), {},
    "Bedrock depth, mean visualization, 0-200 cm");
Map.addLayer(
    raw.select(1).sldStyle(stdev_0_200), {},
    "Bedrock depth, stdev visualization, 0-200 cm");

var visualization = {min: 27, max: 200};

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

Map.addLayer(raw.select(0), visualization, "Bedrock depth, mean, 0-200 cm");
```
[Open in Code Editor](https://code.earthengine.google.com/?scriptPath=Examples:Datasets/ISDASOIL/ISDASOIL_Africa_v1_bedrock_depth) [iSDAsoil Depth to Bedrock](https://developers.google.com/earth-engine/datasets/catalog/ISDASOIL_Africa_v1_bedrock_depth) Depth to bedrock at 0-200 cm depth, predicted mean and standard deviation. Due to the potential cropland mask that was used for generating the data, many areas of exposed rock (where depth to bedrock would be 0 cm) have been masked out and therefore appear as nodata values. The maximum ... ISDASOIL/Africa/v1/bedrock_depth, africa,bedrock,isda,soil 2001-01-01T00:00:00Z/2017-01-01T00:00:00Z -35.22 -31.46 37.98 57.08 Google Earth Engine https://developers.google.com/earth-engine/datasets

- [](https://doi.org/https://isda-africa.com/)
- [](https://doi.org/https://developers.google.com/earth-engine/datasets/catalog/ISDASOIL_Africa_v1_bedrock_depth)