Dieses Raster-Dataset zeigt die Verteilung von bebauten Flächen, ausgedrückt in Quadratmetern pro 100‑m-Gitterzelle.
Das Dataset umfasst folgende Messwerte: a) die gesamte bebaute Fläche und b) die bebaute Fläche, die Rasterzellen mit überwiegend nicht zu Wohnzwecken genutzten Gebäuden (NRES) zugeordnet ist. Die Daten werden räumlich-zeitlich von 1975 bis 2030 in 5-Jahres-Intervallen interpoliert oder extrapoliert.
Das Projekt „Global Human Settlement Layer“ (GHSL) wird von der Europäischen Kommission, der Gemeinsamen Forschungsstelle und der Generaldirektion für Regional- und Stadtpolitik unterstützt.
Bänder
Pixelgröße 100 Meter
Bänder
Name
Einheiten
Pixelgröße
Beschreibung
built_surface
m^2
Meter
Bebaute Fläche pro Rasterzelle
built_surface_nres
m^2
Meter
Nicht wohnliche bebaute Fläche pro Rasterzelle
Nutzungsbedingungen
Nutzungsbedingungen
Das GHSL wurde von der Gemeinsamen Forschungsstelle der Europäischen Kommission als offene und kostenlose Daten erstellt. Die Wiederverwendung ist zulässig, sofern die Quelle angegeben wird. Weitere Informationen finden Sie in den Nutzungsbedingungen (European Commission Reuse and Copyright Notice).
Methodik : 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.
Dieses Raster-Dataset zeigt die Verteilung von bebauten Flächen, ausgedrückt in Quadratmetern pro 100‑m-Gitterzelle. Das Dataset umfasst: a) die gesamte bebaute Fläche und b) die bebaute Fläche, die Rasterzellen mit überwiegend nicht wohnwirtschaftlicher Nutzung (NRES) zugeordnet ist. Die Daten werden räumlich-zeitlich von 1975 bis 2030 interpoliert oder extrapoliert …
[null,null,[],[[["\u003cp\u003eThe Global Human Settlement Layer (GHSL) dataset provides data on built-up surfaces globally, including residential and non-residential areas, at a 100-meter resolution.\u003c/p\u003e\n"],["\u003cp\u003eIt offers temporal coverage from 1975 to 2030 in 5-year intervals, with data spatially-temporally interpolated or extrapolated.\u003c/p\u003e\n"],["\u003cp\u003eDeveloped by the European Commission Joint Research Centre, the dataset is freely available for reuse with proper attribution.\u003c/p\u003e\n"],["\u003cp\u003eThe GHSL dataset is derived from Sentinel-2 and Landsat imagery and provides insights into global urbanization trends.\u003c/p\u003e\n"],["\u003cp\u003eBuilt-up surface is measured in square meters per grid cell and includes both total and non-residential built-up areas.\u003c/p\u003e\n"]]],["The dataset, provided by EC JRC, spans 1975-2030, presenting built-up surface distribution in square meters per 100m grid cell. It quantifies total built-up area and non-residential (NRES) built-up area, extrapolated every five years. The data, available through Earth Engine, includes `built_surface` and `built_surface_nres` bands at 100-meter resolution. It is free to use, and reuse is authorized, provided the source is acknowledged. This information can be explored in the Code Editor.\n"],null,["# GHSL: Global built-up surface 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_buS2023.php)\n\nTags\n:\n[built](/earth-engine/datasets/tags/built) [built-environment](/earth-engine/datasets/tags/built-environment) [builtup](/earth-engine/datasets/tags/builtup) [copernicus](/earth-engine/datasets/tags/copernicus) [ghsl](/earth-engine/datasets/tags/ghsl) [jrc](/earth-engine/datasets/tags/jrc) [landcover](/earth-engine/datasets/tags/landcover) [landsat-derived](/earth-engine/datasets/tags/landsat-derived) [population](/earth-engine/datasets/tags/population) [sdg](/earth-engine/datasets/tags/sdg) [sentinel2-derived](/earth-engine/datasets/tags/sentinel2-derived) [settlement](/earth-engine/datasets/tags/settlement) [urban](/earth-engine/datasets/tags/urban) \n\n#### Description\n\nThis raster dataset depicts the distribution of built-up surfaces,\nexpressed in square metres per 100 m grid cell.\nThe dataset measures:\na) the total built-up surface, and b) the built-up surface allocated to grid\ncells of predominant non-residential (NRES) use. Data are\nspatially-temporally interpolated or extrapolated from 1975 to 2030 in 5\nyear intervals.\n\nThe complete information about the GHSL main products can be\nfound in the [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\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_surface` | m\\^2 | meters | Built-up surface per grid cell |\n| `built_surface_nres` | m\\^2 | meters | Non-residential built-up surface 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-S\n R2023A - GHS built-up surface grid, derived from Sentinel2 composite and\n Landsat, multitemporal (1975-2030). European Commission, Joint Research\n Centre (JRC).\n [PID: http://data.europa.eu/89h/9f06f36f-4b11-47ec-abb0-4f8b7b1d72ea](http://data.europa.eu/89h/9f06f36f-4b11-47ec-abb0-4f8b7b1d72ea)\n [doi:10.2905/9F06F36F-4B11-47EC-ABB0-4F8B7B1D72EA](https://doi.org/10.2905/9F06F36F-4B11-47EC-ABB0-4F8B7B1D72EA)\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/10.2905/9F06F36F-4B11-47EC-ABB0-4F8B7B1D72EA\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_S/1975');\nvar built_1975 = image_1975.select('built_surface');\nvar image_2020 = ee.Image('JRC/GHSL/P2023A/GHS_BUILT_S/2020');\nvar built_2020 = image_2020.select('built_surface');\nvar visParams = {min: 0.0, max: 8000.0, palette: ['000000', 'FFFFFF']};\n\nMap.setCenter(77.156, 28.6532, 10);\nMap.addLayer(built_1975, visParams, 'Built-up surface [m2], 1975');\nMap.addLayer(built_2020, visParams, 'Built-up surface [m2], 2020');\n```\n[Open in Code Editor](https://code.earthengine.google.com/?scriptPath=Examples:Datasets/JRC/JRC_GHSL_P2023A_GHS_BUILT_S) \n[GHSL: Global built-up surface 1975-2030 (P2023A)](/earth-engine/datasets/catalog/JRC_GHSL_P2023A_GHS_BUILT_S) \nThis raster dataset depicts the distribution of built-up surfaces, expressed in square metres per 100 m grid cell. The dataset measures: a) the total built-up surface, and b) the built-up surface allocated to grid cells of predominant non-residential (NRES) use. Data are spatially-temporally interpolated or extrapolated from 1975 to 2030 ... \nJRC/GHSL/P2023A/GHS_BUILT_S, built,built-environment,builtup,copernicus,ghsl,jrc,landcover,landsat-derived,population,sdg,sentinel2-derived,settlement,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/10.2905/9F06F36F-4B11-47EC-ABB0-4F8B7B1D72EA](https://doi.org/https://ghsl.jrc.ec.europa.eu/ghs_buS2023.php)\n- [https://doi.org/10.2905/9F06F36F-4B11-47EC-ABB0-4F8B7B1D72EA](https://doi.org/https://developers.google.com/earth-engine/datasets/catalog/JRC_GHSL_P2023A_GHS_BUILT_S)"]]
