[null,null,[],[],[],null,["# SBTN Natural Lands Map v1\n\nDataset Availability\n: 2020-01-01T00:00:00Z--2020-12-31T23:59:59Z\n\nDataset Provider\n:\n\n\n [WRI](https://github.com/wri/natural-lands-map/tree/main)\n\nTags\n:\n[ecosystems](/earth-engine/datasets/tags/ecosystems) [landcover](/earth-engine/datasets/tags/landcover) [landuse-landcover](/earth-engine/datasets/tags/landuse-landcover) [wri](/earth-engine/datasets/tags/wri) \n\n#### Description\n\nThe SBTN Natural Lands Map v1 is a 2020 baseline map of natural and\nnon-natural land covers intended for use by companies setting\n[science-based targets for nature](https://sciencebasedtargetsnetwork.org/companies/take-action/),\nspecifically the SBTN Land target #1: no conversion of natural ecosystems.\n\n\"Natural\" and \"non-natural\" definitions were adapted from the\n[Accountability Framework initiative's definition of a natural\necosystem](https://accountability-framework.org/use-the-accountability-framework/definitions/natural-ecosystem/)\nas \"one that substantially resembles - in terms of species composition,\nstructure, and ecological function - what would be found in a given area\nin the absence of major human impacts\" and can include managed ecosystems\nas well as degraded ecosystems that are expected to regenerate either\nnaturally or through management (AFi 2024). The SBTN Natural Lands Map\noperationalizes this definition by using proxies based on available data\nthat align with AFi guidance to the extent possible.\n\nThis map was made by compiling existing global\nand regional data.You can find the full technical note explaining the\nmethodology linked on the\n[Natural Lands GitHub](https://github.com/wri/natural-lands-map).\nThis work was a collaboration between Land \\& Carbon Lab at the World\nResources Institute, World Wildlife Fund US, Systemiq, and SBTN.\n\n### Bands\n\n\n**Pixel Size**\n\n30 meters\n\n**Bands**\n\n| Name | Min | Max | Pixel Size | Description |\n|------------------|-----|-----|------------|----------------------------|\n| `classification` | 2 | 21 | meters | Land cover classification. |\n| `natural` | 0 | 1 | meters | Land cover classification. |\n\n**classification Class Table**\n\n| Value | Color | Description |\n|-------|---------|-----------------------------------|\n| 2 | #246E24 | natural forests |\n| 3 | #B9B91E | natural short vegetation |\n| 4 | #6BAED6 | natural water |\n| 5 | #06A285 | mangroves |\n| 6 | #FEFECC | bare |\n| 7 | #ACD1E8 | snow |\n| 8 | #589558 | wet natural forests |\n| 9 | #093D09 | natural peat forests |\n| 10 | #DBDB7B | wet natural short vegetation |\n| 11 | #99991A | natural peat short vegetation |\n| 12 | #D3D3D3 | crop |\n| 13 | #D3D3D3 | built |\n| 14 | #D3D3D3 | non-natural tree cover |\n| 15 | #D3D3D3 | non-natural short vegetation |\n| 16 | #D3D3D3 | non-natural water |\n| 17 | #D3D3D3 | wet non-natural tree cover |\n| 18 | #D3D3D3 | non-natural peat tree cover |\n| 19 | #D3D3D3 | wet non-natural short vegetation |\n| 20 | #D3D3D3 | non-natural peat short vegetation |\n| 21 | #D3D3D3 | non-natural bare |\n\n**natural Class Table**\n\n| Value | Color | Description |\n|-------|---------|------------------|\n| 0 | #969696 | Non-natural land |\n| 1 | #a8ddb5 | Natural land |\n\n### Terms of Use\n\n**Terms of Use**\n\n[CC-BY-NC-SA-4.0](https://spdx.org/licenses/CC-BY-NC-SA-4.0.html)\n\n### Citations\n\nCitations:\n\n- Mazur, E., M. Sims, E. Goldman, M. Schneider, M.D. Pirri, C.R. Beatty, F.\n Stolle, Stevenson, M. 2024. \"SBTN Natural Lands Map v1: Technical\n Documentation\". Science Based Targets for Land Version 1 - Supplementary\n Material. Science Based Targets Network.\n \u003chttps://sciencebasedtargetsnetwork.org/wp-content/uploads/2024/09/Technical-Guidance-2024-Step3-Land-v1-Natural-Lands-Map.pdf\u003e\n\n### Explore with Earth Engine\n\n| **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)\n\n### Code Editor (JavaScript)\n\n```javascript\nvar dataset = ee.Image('WRI/SBTN/naturalLands/v1/2020').select('natural');\n\nvar lon = 0;\nvar lat = 0;\n\nMap.setCenter(lon, lat, 2);\n\nMap.addLayer(dataset, {}, 'Natural Lands');\n```\n[Open in Code Editor](https://code.earthengine.google.com/?scriptPath=Examples:Datasets/WRI/WRI_SBTN_naturalLands_v1_2020) \n[SBTN Natural Lands Map v1](/earth-engine/datasets/catalog/WRI_SBTN_naturalLands_v1_2020) \nThe SBTN Natural Lands Map v1 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 ... \nWRI/SBTN/naturalLands/v1/2020, ecosystems,landcover,landuse-landcover,wri \n2020-01-01T00:00:00Z/2020-12-31T23:59:59Z \n-60 -180 75 180 \nGoogle Earth Engine \nhttps://developers.google.com/earth-engine/datasets\n\n- [](https://doi.org/https://github.com/wri/natural-lands-map/tree/main)\n- [](https://doi.org/https://developers.google.com/earth-engine/datasets/catalog/WRI_SBTN_naturalLands_v1_2020)"]]
