Cet ensemble de données raster représente une classification rurale-urbaine multitemporelle et mondiale, appliquant la méthodologie de phase I "Degré d'urbanisation" recommandée par la Commission statistique des Nations Unies, basée sur des données mondiales de population et de surface bâtie générées par le projet GHSL pour les époques 1975-2030 à intervalles de cinq ans.
Les couches "Degré d'urbanisation" ont été générées en intégrant des informations sur la surface bâtie extraites des données Landsat et Sentinel-2 GHS-BUILT-S R2023, et des données de population sous forme de grille dérivées de CIESIN GPW v4.11 GHS-POP R2023.
Ce produit est une mise à jour des données publiées en 2023, basée sur les mises à jour de GHS-BUILT-S et GHS-POP. Le modèle de règlement est fourni au niveau détaillé (deuxième niveau – L2). La classification de premier niveau peut être obtenue en agrégeant le niveau 2.
Le projet Global Human Settlement Layer (GHSL) est soutenu par la Commission européenne, le Centre commun de recherche et la Direction générale de la politique régionale et urbaine.
Bracelets
Taille des pixels 1 000 mètres
Bandes de fréquences
Nom
Taille des pixels
Description
smod_code
mètres
Degré d'urbanisation
Tableau des classes smod_code
Valeur
Couleur
Description
-200
#000000
Pas de données
10
#7ab6f5
Eau
11
#cdf57a
Zone rurale à très faible densité
12
#abcd66
Rural à faible densité
13
#375623
Cluster rural
21
#ffff00
Périurbain
22
#a87000
Cluster urbain semi-dense
23
#732600
Zone urbaine dense
30
#ff0000
Centre urbain
Conditions d'utilisation
Conditions d'utilisation
Le GHSL a été produit par le Centre commun de recherche de la Commission européenne en tant que données ouvertes et sans frais. La réutilisation est autorisée à condition que la source soit mentionnée. Pour en savoir plus, veuillez lire les conditions d'utilisation (Avis de réutilisation et de droits d'auteur de la Commission européenne).
Méthodologie : 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.
Cet ensemble de données raster représente une classification rurale-urbaine multitemporelle et mondiale. Il applique la méthodologie de phase I "Degré d'urbanisation" recommandée par la Commission statistique des Nations Unies, basée sur des données mondiales de population et de surface bâtie générées par le projet GHSL pour les époques 1975-2030 à intervalles de cinq ans. Les calques du degré d'urbanisation ont été…
[null,null,[],[[["\u003cp\u003eThis dataset provides a global, multitemporal rural-urban classification from 1975 to 2030 in 5-year intervals.\u003c/p\u003e\n"],["\u003cp\u003eIt uses the "Degree of Urbanisation" methodology recommended by the UN Statistical Commission, integrating built-up surface and population data.\u003c/p\u003e\n"],["\u003cp\u003eThe dataset is based on Landsat and Sentinel-2 data and is provided at a 1000 meter resolution.\u003c/p\u003e\n"],["\u003cp\u003eIt is produced by the European Commission Joint Research Centre and is available as open and free data for reuse with attribution.\u003c/p\u003e\n"],["\u003cp\u003eThe dataset includes a classification scheme ranging from "Water" to "Urban centre" to represent varying degrees of urbanization.\u003c/p\u003e\n"]]],["The dataset provides a global, multitemporal rural-urban classification from 1975 to 2030, in 5-year intervals, using the \"Degree of Urbanisation\" methodology. It integrates built-up surface data from Landsat and Sentinel-2 with gridded population data. The dataset is accessible through Google Earth Engine, using the code `ee.ImageCollection(\"JRC/GHSL/P2023A/GHS_SMOD_V2-0\")`. The dataset is provided by the European Commission Joint Research Centre and is open and free to use.\n"],null,["# GHSL: Degree of Urbanization 1975-2030 V2-0 (P2023A)\n\nDataset Availability\n: 1975-01-01T00:00:00Z--2030-12-31T00:00:00Z\n\nDataset Provider\n:\n\n\n [EC JRC](https://human-settlement.emergency.copernicus.eu/ghs_smod2023.php)\n\nTags\n:\n[ghsl](/earth-engine/datasets/tags/ghsl) [jrc](/earth-engine/datasets/tags/jrc) [population](/earth-engine/datasets/tags/population) [sdg](/earth-engine/datasets/tags/sdg) [settlement](/earth-engine/datasets/tags/settlement) \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.\nThe Degree of Urbanisation layers have been generated by integrating\ninformation on built-up surface extracted from Landsat and Sentinel-2 data\n[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 2023 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://human-settlement.emergency.copernicus.eu/documents/GHSL_Data_Package_2023.pdf?t=1727170839)\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- Dataset : Schiavina, Marcello; Melchiorri, Michele; Pesaresi,\n Martino (2023): GHS-SMOD R2023A - GHS settlement layers, application of\n the Degree of Urbanisation methodology (stage I) to GHS-POP R2023A and\n GHS-BUILT-S R2023A, multitemporal (1975-2030).\n 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- Methodology : Pesaresi, Martino, Marcello Schiavina, Panagiotis Politis,\n Sergio Freire, Katarzyna Krasnodebska,\n Johannes H. Uhl, Alessandra Carioli, et al. (2024). Advances on the\n Global Human Settlement Layer by Joint Assessment of Earth Observation\n and Population Survey Data. International Journal of Digital Earth 17(1).\n [doi:10.1080/17538947.2024.2390454](https://doi.org/10.1080/17538947.2024.2390454).\n\n### DOIs\n\n- \u003chttps://doi.org/10.1080/17538947.2024.2390454\u003e\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_V2-0/2030\");\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_V2-0) \n[GHSL: Degree of Urbanization 1975-2030 V2-0 (P2023A)](/earth-engine/datasets/catalog/JRC_GHSL_P2023A_GHS_SMOD_V2-0) \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_V2-0, ghsl,jrc,population,sdg,settlement \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://human-settlement.emergency.copernicus.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_V2-0)"]]
