![CSP/ERGo/1_0/US/lithology](https://developers.google.com/earth-engine/datasets/images/CSP/CSP_ERGo_1_0_US_lithology_sample.png)

Dataset Availability
:   2006-01-24T00:00:00Z--2011-05-13T00:00:00Z

Dataset Producer
:


    [Conservation Science Partners](https://www.csp-inc.org/)

Tags
:
    [aspect](https://developers.google.com/earth-engine/datasets/tags/aspect) [csp](https://developers.google.com/earth-engine/datasets/tags/csp) [elevation](https://developers.google.com/earth-engine/datasets/tags/elevation) [elevation-topography](https://developers.google.com/earth-engine/datasets/tags/elevation-topography) [ergo](https://developers.google.com/earth-engine/datasets/tags/ergo) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical) [landforms](https://developers.google.com/earth-engine/datasets/tags/landforms) [slope](https://developers.google.com/earth-engine/datasets/tags/slope) [topography](https://developers.google.com/earth-engine/datasets/tags/topography) [us](https://developers.google.com/earth-engine/datasets/tags/us)

#### Description

The Lithology dataset provides classes of the general types of parent
material of soil on the surface. It is not derived from any DEM.

The Conservation Science Partners (CSP) Ecologically Relevant Geomorphology
(ERGo) Datasets, Landforms and Physiography contain detailed, multi-scale
data on landforms and physiographic (aka land facet) patterns. Although
there are many potential uses of these data, the original purpose for these
data was to develop an ecologically relevant classification and map of
landforms and physiographic classes that are suitable for climate adaptation
planning. Because there is large uncertainty associated with future climate
conditions and even more uncertainty around ecological responses, providing
information about what is unlikely to change offers a strong foundation for
managers to build robust climate adaptation plans. The quantification of
these features of the landscape is sensitive to the resolution, so we
provide the highest resolution possible given the extent and characteristics
of a given index.

### Bands

**Bands**

Pixel size: 90 meters (all bands)

| Name | Pixel Size | Description |
|---|---|---|
| `b1` | 90 meters | Lithology classes |

**b1 Class Table**

| Value | Color | Description |
|---|---|---|
| 0 | #356eff | Water |
| 1 | #acb6da | Carbonate |
| 3 | #d6b879 | Non-carbonate |
| 4 | #313131 | Alkaline intrusive |
| 5 | #eda800 | Silicic residual |
| 7 | #616161 | Extrusive volcanic |
| 8 | #d6d6d6 | Colluvial sediment |
| 9 | #d0ddae | Glacial till clay |
| 10 | #b8d279 | Glacial till loam |
| 11 | #d5d378 | Glacial till coarse |
| 13 | #141414 | Glacial lake sediment fine |
| 14 | #6db155 | Glacial outwash coarse |
| 15 | #9b6d55 | Hydric |
| 16 | #feeec9 | Eolian sediment coarse |
| 17 | #d6b879 | Eolian sediment fine |
| 18 | #00b7ec | Saline lake sediment |
| 19 | #ffda90 | Alluvium and coastal sediment fine |
| 20 | #f8b28c | Coastal sediment coarse |

### Terms of Use

**Terms of Use**

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

### Citations

Citations:

- Theobald, D. M., Harrison-Atlas, D., Monahan, W. B., \& Albano, C. M.
  (2015). Ecologically-relevant maps of landforms and physiographic diversity
  for climate adaptation planning. PloS one, 10(12),
  [e0143619](https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0143619)

### Explore with Earth Engine

> [!NOTE]
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### Code Editor (JavaScript)

```javascript
var dataset = ee.Image('CSP/ERGo/1_0/US/lithology');
var lithology = dataset.select('b1');
var lithologyVis = {
  min: 0.0,
  max: 20.0,
  palette: [
    '356eff', 'acb6da', 'd6b879', '313131', 'eda800', '616161', 'd6d6d6',
    'd0ddae', 'b8d279', 'd5d378', '141414', '6db155', '9b6d55', 'feeec9',
    'd6b879', '00b7ec', 'ffda90', 'f8b28c'
  ],
};
Map.setCenter(-105.8636, 40.3439, 11);
Map.addLayer(lithology, lithologyVis, 'Lithology');
```
[Open in Code Editor](https://code.earthengine.google.com/?scriptPath=Examples:Datasets/CSP/CSP_ERGo_1_0_US_lithology) [US Lithology](https://developers.google.com/earth-engine/datasets/catalog/CSP_ERGo_1_0_US_lithology) The Lithology dataset provides classes of the general types of parent material of soil on the surface. It is not derived from any DEM. The Conservation Science Partners (CSP) Ecologically Relevant Geomorphology (ERGo) Datasets, Landforms and Physiography contain detailed, multi-scale data on landforms and physiographic (aka land facet) patterns. Although ... CSP/ERGo/1_0/US/lithology, aspect,csp,elevation,elevation-topography,ergo,geophysical,landforms,slope,topography,us 2006-01-24T00:00:00Z/2011-05-13T00:00:00Z 12.54 -132.09 56.21 -60.35 Google Earth Engine https://developers.google.com/earth-engine/datasets

- [](https://doi.org/https://www.csp-inc.org/)
- [](https://doi.org/https://developers.google.com/earth-engine/datasets/catalog/CSP_ERGo_1_0_US_lithology)