![JRC/GHSL/P2023A/GHS_SMOD_V2-0](https://developers.google.com/earth-engine/datasets/images/JRC/JRC_GHSL_P2023A_GHS_SMOD_V2-0_sample.png) Dataset Availability : 1975-01-01T00:00:00Z--2030-12-31T00:00:00Z Dataset Producer : [EC JRC](https://human-settlement.emergency.copernicus.eu/ghs_smod2023.php) Tags : [ghsl](https://developers.google.com/earth-engine/datasets/tags/ghsl) [jrc](https://developers.google.com/earth-engine/datasets/tags/jrc) [population](https://developers.google.com/earth-engine/datasets/tags/population) [sdg](https://developers.google.com/earth-engine/datasets/tags/sdg) [settlement](https://developers.google.com/earth-engine/datasets/tags/settlement) #### Description 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](https://developers.google.com/earth-engine/datasets/catalog/JRC_GHSL_P2023A_GHS_BUILT_S), and 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). This product is an update of the data released in 2023 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 complete information about the GHSL main products can be found in the [GHSL Data Package 2023 report](https://human-settlement.emergency.copernicus.eu/documents/GHSL_Data_Package_2023.pdf?t=1727170839) 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 **Bands** Pixel size: 1000 meters (all bands) | Name | Pixel Size | Description | |---|---|---| | `smod_code` | 1000 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](https://ec.europa.eu/info/legal-notice_en)). ### Citations Citations: - Dataset : Schiavina, Marcello; Melchiorri, Michele; Pesaresi, Martino (2023): GHS-SMOD R2023A - GHS settlement layers, application of the Degree of Urbanisation methodology (stage I) to GHS-POP R2023A and GHS-BUILT-S R2023A, multitemporal (1975-2030). European Commission, Joint Research Centre (JRC) [PID: http://data.europa.eu/89h/a0df7a6f-49de-46ea-9bde-563437a6e2ba](http://data.europa.eu/89h/a0df7a6f-49de-46ea-9bde-563437a6e2ba) [doi:10.2905/A0DF7A6F-49DE-46EA-9BDE-563437A6E2BA](https://doi.org/10.2905/A0DF7A6F-49DE-46EA-9BDE-563437A6E2BA) - Methodology : Pesaresi, Martino, Marcello Schiavina, Panagiotis Politis, Sergio Freire, Katarzyna Krasnodebska, Johannes H. Uhl, Alessandra Carioli, et al. (2024). Advances on the Global Human Settlement Layer by Joint Assessment of Earth Observation and Population Survey Data. International Journal of Digital Earth 17(1). [doi:10.1080/17538947.2024.2390454](https://doi.org/10.1080/17538947.2024.2390454). ### DOIs - - ### 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 image = ee.Image("JRC/GHSL/P2023A/GHS_SMOD_V2-0/2030"); var smod = image.select('smod_code'); Map.setCenter(84, 25, 5); Map.addLayer(image, {}, 'Degree of Urbanization'); ``` [Open in Code Editor](https://code.earthengine.google.com/?scriptPath=Examples:Datasets/JRC/JRC_GHSL_P2023A_GHS_SMOD_V2-0) [GHSL: Degree of Urbanization 1975-2030 V2-0 (P2023A)](https://developers.google.com/earth-engine/datasets/catalog/JRC_GHSL_P2023A_GHS_SMOD_V2-0) 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 ... JRC/GHSL/P2023A/GHS_SMOD_V2-0, ghsl,jrc,population,sdg,settlement 1975-01-01T00:00:00Z/2030-12-31T00:00:00Z -90 -180 90 180 Google Earth Engine https://developers.google.com/earth-engine/datasets - [https://doi.org/10.2905/A0DF7A6F-49DE-46EA-9BDE-563437A6E2BA](https://doi.org/https://human-settlement.emergency.copernicus.eu/ghs_smod2023.php) - [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_V2-0)