This raster dataset represents a global, multitemporal rural-urban
classification, applying the "Degree of Urbanisation" stage I methodology
recommended by UN Statistical Commission, based on global gridded population
and built-up surface data generated by the GHSL project for the epochs
1975-2030 in 5-year intervals. The Degree of Urbanisation layers have been
generated by integrating information on built-up surface extracted from
Landsat and Sentinel-2 data GHS-BUILT-S R2023,
and gridded population data derived from CIESIN GPW v4.11 GHS-POP R2023.
This product is an update of the data released in 2022 based on the updates
of the GHS-BUILT-S and GHS-POP. The Settlement Model is provided at the
detailed level (Second Level - L2). The first-level classification can be
obtained by aggregating L2.
The Global Human Settlement Layer (GHSL) project is supported by the European
Commission, Joint Research Center, and Directorate-General for Regional and
Urban Policy.
Bands
Pixel Size 1000 meters
Bands
Name
Pixel Size
Description
smod_code
meters
Degree of urbanization
smod_code Class Table
Value
Color
Description
-200
#000000
No Data
10
#7ab6f5
Water
11
#cdf57a
Very low density rural
12
#abcd66
Low density rural
13
#375623
Rural cluster
21
#ffff00
Suburban or peri-urban
22
#a87000
Semi-dense urban cluster
23
#732600
Dense urban cluster
30
#ff0000
Urban centre
Terms of Use
Terms of Use
The GHSL has been produced by the European Commission Joint Research Centre
as open and free data. Reuse is authorised, provided the source is
acknowledged. For more information, please read the use conditions (European
Commission Reuse and Copyright Notice).
This raster dataset represents a global, multitemporal rural-urban classification, applying the "Degree of Urbanisation" stage I methodology recommended by UN Statistical Commission, based on global gridded population and built-up surface data generated by the GHSL project for the epochs 1975-2030 in 5-year intervals. The Degree of Urbanisation layers have been …
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],[],[[["\u003cp\u003eThis dataset provides a global, multitemporal rural-urban classification from 1975 to 2030 at 5-year intervals.\u003c/p\u003e\n"],["\u003cp\u003eIt uses the "Degree of Urbanisation" methodology, integrating built-up and population data from the GHSL project.\u003c/p\u003e\n"],["\u003cp\u003eThis dataset is deprecated; a newer version (\u003ca href=\"/earth-engine/datasets/catalog/JRC_GHSL_P2023A_GHS_SMOD_V2-0\"\u003eJRC/GHSL/P2023A/GHS_SMOD_V2-0\u003c/a\u003e) is available.\u003c/p\u003e\n"],["\u003cp\u003eThe data is available at a 1000-meter resolution and includes a classification code representing different urbanization levels.\u003c/p\u003e\n"],["\u003cp\u003eIt is provided as open and free data by the European Commission Joint Research Centre, requiring source acknowledgment for reuse.\u003c/p\u003e\n"]]],["This dataset offers a global rural-urban classification from 1975-2030, generated every five years. It uses the UN's \"Degree of Urbanisation\" methodology, integrating built-up surface data from Landsat and Sentinel-2 with gridded population data. The data is classified into an L2 detailed Settlement Model with nine categories. The dataset is accessible via Earth Engine and provided by the European Commission's Joint Research Centre under open terms.\n"],null,["# GHSL: Degree of Urbanization 1975-2030 (P2023A) [deprecated]\n\n**Caution:** This dataset has been superseded by [JRC/GHSL/P2023A/GHS_SMOD_V2-0](/earth-engine/datasets/catalog/JRC_GHSL_P2023A_GHS_SMOD_V2-0). \n\nDataset Availability\n: 1975-01-01T00:00:00Z--2030-12-31T00:00:00Z\n\nDataset Provider\n:\n\n\n [EC JRC](https://ghsl.jrc.ec.europa.eu/ghs_smod2023.php)\n\nTags\n:\n ghsl \n jrc \n population \n sdg \n settlement \n smod \nurban-gradient \n\n#### Description\n\nThis raster dataset represents a global, multitemporal rural-urban\nclassification, applying the \"Degree of Urbanisation\" stage I methodology\nrecommended by UN Statistical Commission, based on global gridded population\nand built-up surface data generated by the GHSL project for the epochs\n1975-2030 in 5-year intervals. The Degree of Urbanisation layers have been\ngenerated by integrating information on built-up surface extracted from\nLandsat and Sentinel-2 data [GHS-BUILT-S R2023](https://developers.google.com/earth-engine/datasets/catalog/JRC_GHSL_P2023A_GHS_BUILT_S),\nand gridded population data derived from CIESIN GPW v4.11 [GHS-POP R2023](https://developers.google.com/earth-engine/datasets/catalog/JRC_GHSL_P2023A_GHS_POP).\nThis product is an update of the data released in 2022 based on the updates\nof the GHS-BUILT-S and GHS-POP. The Settlement Model is provided at the\ndetailed level (Second Level - L2). The first-level classification can be\nobtained by aggregating L2.\n\nThe complete information about the GHSL main products can be found in the\n[GHSL Data Package 2023 report](https://ghsl.jrc.ec.europa.eu/documents/GHSL_Data_Package_2023.pdf?t=1683540422)\n\nThe Global Human Settlement Layer (GHSL) project is supported by the European\nCommission, Joint Research Center, and Directorate-General for Regional and\nUrban Policy.\n\n### Bands\n\n\n**Pixel Size**\n\n1000 meters\n\n**Bands**\n\n| Name | Pixel Size | Description |\n|-------------|------------|------------------------|\n| `smod_code` | meters | Degree of urbanization |\n\n**smod_code Class Table**\n\n| Value | Color | Description |\n|-------|---------|--------------------------|\n| -200 | #000000 | No Data |\n| 10 | #7ab6f5 | Water |\n| 11 | #cdf57a | Very low density rural |\n| 12 | #abcd66 | Low density rural |\n| 13 | #375623 | Rural cluster |\n| 21 | #ffff00 | Suburban or peri-urban |\n| 22 | #a87000 | Semi-dense urban cluster |\n| 23 | #732600 | Dense urban cluster |\n| 30 | #ff0000 | Urban centre |\n\n### Terms of Use\n\n**Terms of Use**\n\nThe GHSL has been produced by the European Commission Joint Research Centre\nas open and free data. Reuse is authorised, provided the source is\nacknowledged. For more information, please read the use conditions ([European\nCommission Reuse and Copyright Notice](https://ec.europa.eu/info/legal-notice_en)).\n\n### Citations\n\nCitations:\n\n- Schiavina, Marcello; Melchiorri, Michele; Pesaresi, Martino (2023):\n GHS-SMOD R2023A - GHS settlement layers, application of the Degree of\n Urbanisation methodology (stage I) to GHS-POP R2023A and GHS-BUILT-S R2023A,\n multitemporal (1975-2030). European Commission, Joint Research Centre (JRC)\n [PID: http://data.europa.eu/89h/a0df7a6f-49de-46ea-9bde-563437a6e2ba](http://data.europa.eu/89h/a0df7a6f-49de-46ea-9bde-563437a6e2ba)\n [doi:10.2905/A0DF7A6F-49DE-46EA-9BDE-563437A6E2BA](https://doi.org/10.2905/A0DF7A6F-49DE-46EA-9BDE-563437A6E2BA)\n\n### DOIs\n\n- \u003chttps://doi.org/10.2905/A0DF7A6F-49DE-46EA-9BDE-563437A6E2BA\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 image = ee.Image(\"JRC/GHSL/P2023A/GHS_SMOD/2030\");\nvar smod = image.select('smod_code');\nMap.setCenter(84, 25, 5);\nMap.addLayer(image, {}, 'Degree of Urbanization');\n```\n[Open in Code Editor](https://code.earthengine.google.com/?scriptPath=Examples:Datasets/JRC/JRC_GHSL_P2023A_GHS_SMOD) \n[GHSL: Degree of Urbanization 1975-2030 (P2023A) \\[deprecated\\]](/earth-engine/datasets/catalog/JRC_GHSL_P2023A_GHS_SMOD) \nThis raster dataset represents a global, multitemporal rural-urban classification, applying the \"Degree of Urbanisation\" stage I methodology recommended by UN Statistical Commission, based on global gridded population and built-up surface data generated by the GHSL project for the epochs 1975-2030 in 5-year intervals. The Degree of Urbanisation layers have been ... \nJRC/GHSL/P2023A/GHS_SMOD, ghsl,jrc,population,sdg,settlement,smod,urban-gradient \n1975-01-01T00:00:00Z/2030-12-31T00:00:00Z \n-90 -180 90 180 \nGoogle Earth Engine \nhttps://developers.google.com/earth-engine/datasets\n\n- [https://doi.org/10.2905/A0DF7A6F-49DE-46EA-9BDE-563437A6E2BA](https://doi.org/https://ghsl.jrc.ec.europa.eu/ghs_smod2023.php)\n- [https://doi.org/10.2905/A0DF7A6F-49DE-46EA-9BDE-563437A6E2BA](https://doi.org/https://developers.google.com/earth-engine/datasets/catalog/JRC_GHSL_P2023A_GHS_SMOD)"]]
