Cet ensemble de données raster représente la distribution mondiale du volume des bâtiments, exprimé en mètres cubes par cellule de grille de 100 m. L'ensemble de données mesure le volume total des bâtiments et le volume des bâtiments alloué aux cellules de grille à usage non résidentiel (NRES) prédominant. Les estimations sont basées sur les produits Surface bâtie et Hauteur du bâtiment.
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 100 mètres
Bandes de fréquences
Nom
Unités
Taille des pixels
Description
built_volume_total
m^3
mètres
Volume total de bâtiments par cellule de grille
built_volume_nres
m^3
mètres
Volume des bâtiments non résidentiels par cellule de grille
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.
Ce jeu de données raster représente la distribution mondiale du volume des bâtiments, exprimé en mètres cubes par cellule de grille de 100 m. L'ensemble de données mesure le volume total des bâtiments et le volume des bâtiments alloué aux cellules de grille à usage non résidentiel (NRES) prédominant. Les estimations sont basées sur les produits de surface bâtie et de hauteur des bâtiments. …
[null,null,[],[[["\u003cp\u003eThe JRC/GHSL/P2023A/GHS_BUILT_V dataset provides global building volume data from 1975 to 2030 at a 100-meter resolution.\u003c/p\u003e\n"],["\u003cp\u003eIt includes total building volume and volume allocated to non-residential use, estimated using built-up surface and building height data.\u003c/p\u003e\n"],["\u003cp\u003eThe dataset is produced by the European Commission Joint Research Centre and is available as open and free data, with proper attribution required.\u003c/p\u003e\n"],["\u003cp\u003eUsers can explore and analyze this dataset within Google Earth Engine.\u003c/p\u003e\n"]]],["The dataset, provided by EC JRC, details global building volume from 1975 to 2030, measured in cubic meters per 100m grid cell. It includes total building volume and volume allocated to non-residential use, derived from built-up surface and building height data. Accessible via Google Earth Engine with the snippet `ee.ImageCollection(\"JRC/GHSL/P2023A/GHS_BUILT_V\")`, it is free to use with proper citation. The data can be explored on Google Earth Engine, with usage examples provided.\n"],null,["# GHSL: Global building volume 1975-2030 (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://ghsl.jrc.ec.europa.eu/ghs_buV2023.php)\n\nTags\n:\n[alos](/earth-engine/datasets/tags/alos) [building](/earth-engine/datasets/tags/building) [built-environment](/earth-engine/datasets/tags/built-environment) [copernicus](/earth-engine/datasets/tags/copernicus) [dem](/earth-engine/datasets/tags/dem) [ghsl](/earth-engine/datasets/tags/ghsl) [jrc](/earth-engine/datasets/tags/jrc) [population](/earth-engine/datasets/tags/population) [sdg](/earth-engine/datasets/tags/sdg) [sentinel2-derived](/earth-engine/datasets/tags/sentinel2-derived) [srtm](/earth-engine/datasets/tags/srtm) [urban](/earth-engine/datasets/tags/urban) \n\n#### Description\n\nThis raster dataset depicts the global distribution of building volume,\nexpressed in cubic metres per 100 m grid cell. The dataset measures the\ntotal building volume and the building volume allocated to grid cells of\npredominant non-residential (NRES) use. Estimates are based on the [built-up\nsurface](https://developers.google.com/earth-engine/datasets/catalog/JRC_GHSL_P2023A_GHS_BUILT_S)\nand [building height](https://developers.google.com/earth-engine/datasets/catalog/JRC_GHSL_P2023A_GHS_BUILT_H)\nproducts.\n\nMore information about the GHSL data products can be found in the [GHSL Data\nPackage 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\nEuropean Commission, Joint Research Centre, and Directorate-General for\nRegional and Urban Policy.\n\n### Bands\n\n\n**Pixel Size**\n\n100 meters\n\n**Bands**\n\n| Name | Units | Pixel Size | Description |\n|----------------------|-------|------------|-----------------------------------------------|\n| `built_volume_total` | m\\^3 | meters | Total building volume per grid cell |\n| `built_volume_nres` | m\\^3 | meters | Non-residential building volume per grid cell |\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 : Pesaresi, Martino; Politis, Panagiotis (2023):GHS-BUILT-V\n R2023A - GHS built-up volume grids derived from joint assessment of\n Sentinel2, Landsat, and global DEM data, multitemporal (1975-2030).\n European Commission, Joint Research Centre (JRC)\n [PID: http://data.europa.eu/89h/ab2f107a-03cd-47a3-85e5-139d8ec63283](http://data.europa.eu/89h/ab2f107a-03cd-47a3-85e5-139d8ec63283)\n [doi:10.2905/AB2F107A-03CD-47A3-85E5-139D8EC63283](https://doi.org/10.2905/AB2F107A-03CD-47A3-85E5-139D8EC63283)\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/AB2F107A-03CD-47A3-85E5-139D8EC63283\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_1975 = ee.Image('JRC/GHSL/P2023A/GHS_BUILT_V/1975');\nvar image_2020 = ee.Image('JRC/GHSL/P2023A/GHS_BUILT_V/2020');\nvar volume_total_1975 = image_1975.select('built_volume_total');\nvar volume_total_2020 = image_2020.select('built_volume_total');\n\n\nvar visParams = {\n min: 0,\n max: 80000,\n palette: ['000004', '51127c', 'b73779', 'fc8961', 'fcfdbf'],\n};\n\nMap.setCenter(77.156, 28.6532, 10);\nMap.addLayer(volume_total_1975, visParams, 'Total building volume [m3], 1975');\nMap.addLayer(volume_total_2020, visParams, 'Total building volume [m3], 2020');\n```\n[Open in Code Editor](https://code.earthengine.google.com/?scriptPath=Examples:Datasets/JRC/JRC_GHSL_P2023A_GHS_BUILT_V) \n[GHSL: Global building volume 1975-2030 (P2023A)](/earth-engine/datasets/catalog/JRC_GHSL_P2023A_GHS_BUILT_V) \nThis raster dataset depicts the global distribution of building volume, expressed in cubic metres per 100 m grid cell. The dataset measures the total building volume and the building volume allocated to grid cells of predominant non-residential (NRES) use. Estimates are based on the built-up surface and building height products. ... \nJRC/GHSL/P2023A/GHS_BUILT_V, alos,building,built-environment,copernicus,dem,ghsl,jrc,population,sdg,sentinel2-derived,srtm,urban \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/AB2F107A-03CD-47A3-85E5-139D8EC63283](https://doi.org/https://ghsl.jrc.ec.europa.eu/ghs_buV2023.php)\n- [https://doi.org/10.2905/AB2F107A-03CD-47A3-85E5-139D8EC63283](https://doi.org/https://developers.google.com/earth-engine/datasets/catalog/JRC_GHSL_P2023A_GHS_BUILT_V)"]]
