Esse conjunto de dados raster representa uma classificação global e multitemporal de áreas rurais e urbanas, aplicando a metodologia "Grau de urbanização" da fase I recomendada pela Comissão de Estatística da ONU, com base em dados globais de população em grade e de superfície construída gerados pelo projeto GHSL para as épocas de 1975 a 2030 em intervalos de cinco anos.
As camadas do Grau de Urbanização foram geradas integrando informações sobre a superfície construída extraídas dos dados do Landsat e do Sentinel-2 GHS-BUILT-S R2023 e dados de população em grade derivados do CIESIN GPW v4.11 GHS-POP R2023.
Este produto é uma atualização dos dados divulgados em 2023 com base nas atualizações do GHS-BUILT-S e do GHS-POP. O modelo de liquidação é fornecido no nível detalhado (segundo nível - L2). A classificação de primeiro nível pode ser obtida agregando L2.
O projeto Global Human Settlement Layer (GHSL) tem o apoio da Comissão Europeia, do Centro Comum de Pesquisa e da Direção-Geral de Política Regional e Urbana.
Bandas
Tamanho do pixel 1.000 metros
Bandas
Nome
Tamanho do pixel
Descrição
smod_code
metros
Grau de urbanização
Tabela de classes smod_code
Valor
Cor
Descrição
-200
#000000
Sem dados
10
#7ab6f5
Água
11
#cdf57a
Rural de densidade muito baixa
12
#abcd66
Rural de baixa densidade
13
#375623
Cluster rural
21
#ffff00
Suburbana ou periurbana
22
#a87000
Cluster urbano semidenso
23
#732600
Cluster urbano denso
30
#ff0000
Centro urbano
Termos de Uso
Termos de Uso
O GHSL foi produzido pelo Centro Comum de Pesquisa da Comissão Europeia como dados abertos e sem custo financeiro. A reutilização é autorizada, desde que a fonte seja reconhecida. Para mais informações, leia as condições de uso (Aviso de direitos autorais e reutilização da Comissão Europeia).
Metodologia : 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.
Esse conjunto de dados raster representa uma classificação rural-urbana global e multitemporal, aplicando a metodologia "Grau de urbanização" da fase I recomendada pela Comissão de Estatística da ONU, com base em dados globais de população em grade e de superfície construída gerados pelo projeto GHSL para as épocas de 1975 a 2030 em intervalos de cinco anos. As camadas de grau de urbanização foram…
[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)"]]
