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## GHS-BUILT-S-R2023A | ||
## Global Human Settlement (JRC GHS-BUILT-S R2023A) | ||
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Placeholder | ||
**Dataset:** GHS-BUILT-S R2023A - GHS built-up surface spatial raster dataset, derived | ||
from Sentinel-2 composite and Landsat, multi-temporal (1975-2030) | ||
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**Dataset Documentation:** | ||
https://ghsl.jrc.ec.europa.eu/documents/GHSL_Data_Package_2023.pdf?t=1683540422 | ||
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**Short description:** The spatial raster dataset depicts the distribution of built-up surfaces, expressed as number of square metres. The data report about the total built-up surface and the built-up surface allocated to dominant non-residential (NRES) uses. | ||
Data are spatial-temporal interpolated or extrapolated from 1975 to 2030 in 5 years intervals. | ||
For the temporal anchor point of 2018 the data is published at 10m as observed from the S2 image data. | ||
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**Access dataset:** | ||
- from EC JRC Data Catalogue: https://ghsl.jrc.ec.europa.eu/download.php?ds=bu | ||
- on Euro Data Cube: | ||
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**Use this dataset:** | ||
- Execute Jupyter Notebook on Euro Data Cube | ||
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**Cite as:** | ||
- Pesaresi M., Politis P. (2023): GHS-BUILT-S R2023A - GHS built-up surface grid, derived from Sentinel2 composite and Landsat, multitemporal (1975-2030)European Commission, Joint Research Centre (JRC) | ||
- [PID: http://data.europa.eu/89h/9f06f36f-4b11-47ec-abb0-4f8b7b1d72ea](http://data.europa.eu/89h/9f06f36f-4b11-47ec-abb0-4f8b7b1d72ea) | ||
- [doi:10.2905/9F06F36F-4B11-47EC-ABB0-4F8B7B1D72EA](https://doi.org/10.2905/9F06F36F-4B11-47EC-ABB0-4F8B7B1D72EA) | ||
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**Concept & Methodology:** European Commission | ||
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GHSL Data Package 2023, Publications Office of the European Union, Luxembourg, 2023, JRC133256, ISBN 978-92-68-02341-9, doi:10.2760/098587 |