![WRI/SBTN/naturalLands/v1_1/2020](https://developers.google.com/earth-engine/datasets/images/WRI/WRI_SBTN_naturalLands_v1_1_2020_sample.png)

Dataset Availability
:   2020-01-01T00:00:00Z--2020-12-31T23:59:59Z

Dataset Producer
:


    [WRI](https://github.com/wri/natural-lands-map/tree/main)

Tags
:
    [ecosystems](https://developers.google.com/earth-engine/datasets/tags/ecosystems) [landcover](https://developers.google.com/earth-engine/datasets/tags/landcover) [landuse-landcover](https://developers.google.com/earth-engine/datasets/tags/landuse-landcover) [wri](https://developers.google.com/earth-engine/datasets/tags/wri)

#### Description

The SBTN Natural Lands Map v1.1 is a 2020 baseline map of natural and
non-natural land covers intended for use by companies setting
[science-based targets for nature](https://sciencebasedtargetsnetwork.org/companies/take-action/),
specifically the SBTN Land target #1: no conversion of natural ecosystems.

"Natural" and "non-natural" definitions were adapted from the
[Accountability Framework initiative's definition of a natural
ecosystem](https://accountability-framework.org/use-the-accountability-framework/definitions/natural-ecosystem/)
as "one that substantially resembles - in terms of species composition,
structure, and ecological function - what would be found in a given area
in the absence of major human impacts" and can include managed ecosystems
as well as degraded ecosystems that are expected to regenerate either
naturally or through management (AFi 2024). The SBTN Natural Lands Map
operationalizes this definition by using proxies based on available data
that align with AFi guidance to the extent possible.

This map was made by compiling existing global
and regional data.You can find the full technical note explaining the
methodology linked on the
[Natural Lands GitHub](https://github.com/wri/natural-lands-map).
This work was a collaboration between Land \& Carbon Lab at the World
Resources Institute, World Wildlife Fund US, Systemiq, and SBTN.

### Bands

**Bands**

Pixel size: 30 meters (all bands)

| Name | Min | Max | Pixel Size | Description |
|---|---|---|---|---|
| `classification` | 2 | 21 | 30 meters | Land cover classification. |
| `natural` | 0 | 1 | 30 meters | Land cover classification. |

**classification Class Table**

| Value | Color | Description |
|---|---|---|
| 2 | #246E24 | natural forests |
| 3 | #B9B91E | natural short vegetation |
| 4 | #6BAED6 | natural water |
| 5 | #06A285 | mangroves |
| 6 | #FEFECC | bare |
| 7 | #ACD1E8 | snow |
| 8 | #589558 | wet natural forests |
| 9 | #093D09 | natural peat forests |
| 10 | #DBDB7B | wet natural short vegetation |
| 11 | #99991A | natural peat short vegetation |
| 12 | #D3D3D3 | crop |
| 13 | #D3D3D3 | built |
| 14 | #D3D3D3 | non-natural tree cover |
| 15 | #D3D3D3 | non-natural short vegetation |
| 16 | #D3D3D3 | non-natural water |
| 17 | #D3D3D3 | wet non-natural tree cover |
| 18 | #D3D3D3 | non-natural peat tree cover |
| 19 | #D3D3D3 | wet non-natural short vegetation |
| 20 | #D3D3D3 | non-natural peat short vegetation |
| 21 | #D3D3D3 | non-natural bare |

**natural Class Table**

| Value | Color | Description |
|---|---|---|
| 0 | #969696 | Non-natural land |
| 1 | #a8ddb5 | Natural land |

### Image Properties

**Image Properties**

| Name | Type | Description |
|---|---|---|
| classification_class_palette | STRING_LIST | Array of hex code color strings used for the classification palette. |
| classification_class_values | INT_LIST | Value of the land cover classification. |
| natural_class_palette | STRING_LIST | Array of hex code color strings used for the natural binary mask palette. |
| natural_class_values | INT_LIST | Value of the natural binary mask |

### Terms of Use

**Terms of Use**

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

### Citations

Citations:

- Mazur, E., M. Sims, E. Goldman, M. Schneider, M.D. Pirri, C.R. Beatty, F.
  Stolle, M. Stevenson. 2025. "SBTN Natural Lands Map v1.1: Technical
  Documentation". Science Based Targets for Land Version 1 - Supplementary
  Material. Science Based Targets Network.
  <https://sciencebasedtargetsnetwork.org/wp-content/uploads/2025/02/Technical-Guidance-2025-Step3-Land-v1_1-Natural-Lands-Map.pdf>

### 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 dataset = ee.Image('WRI/SBTN/naturalLands/v1_1/2020').select('natural');

var lon = 0;
var lat = 0;

Map.setCenter(lon, lat, 2);

Map.addLayer(dataset, {}, 'Natural Lands');
```
[Open in Code Editor](https://code.earthengine.google.com/?scriptPath=Examples:Datasets/WRI/WRI_SBTN_naturalLands_v1_1_2020) [SBTN Natural Lands Map v1.1](https://developers.google.com/earth-engine/datasets/catalog/WRI_SBTN_naturalLands_v1_1_2020) The SBTN Natural Lands Map v1.1 is a 2020 baseline map of natural and non-natural land covers intended for use by companies setting science-based targets for nature, specifically the SBTN Land target #1: no conversion of natural ecosystems. "Natural" and "non-natural" definitions were adapted from the Accountability Framework initiative's definition ... WRI/SBTN/naturalLands/v1_1/2020, ecosystems,landcover,landuse-landcover,wri 2020-01-01T00:00:00Z/2020-12-31T23:59:59Z -60 -180 75 180 Google Earth Engine https://developers.google.com/earth-engine/datasets

- [](https://doi.org/https://github.com/wri/natural-lands-map/tree/main)
- [](https://doi.org/https://developers.google.com/earth-engine/datasets/catalog/WRI_SBTN_naturalLands_v1_1_2020)