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ghs building attributes at footprint level, with age, function and morphological information  (Joint Research Center)

 
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    Joint Research Center ghs building attributes at footprint level, with age, function and morphological information
    Ghs Building Attributes At Footprint Level, With Age, Function And Morphological Information, supplied by Joint Research Center, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/build-in+function/ghs+built+up+grid/pmc12221504-270-17-2
    Average 90 stars, based on 1 article reviews
    ghs building attributes at footprint level, with age, function and morphological information - by Bioz Stars, 2026-11
    90/100 stars

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    other:

    Article Title: Global extent and change in human modification of terrestrial ecosystems from 1990 to 2022
    Article Snippet: Pesaresi, M., Ehrilch, D., Florczyk, A. J., Freire, S., Julea, A., Kemper, T., Soille, P., and Syrris, V. GHS built-up grid, derived from Landsat, multitemporal (1975, 1990, 2000, 2015), European Commission, Joint Research Centre, JRC Data Catalogue, Aspra, Italy, 2015.

    Article Title: GHS-OBAT: Global, open building attribute data reporting age, function, height and compactness at footprint level
    Article Snippet: European Commission Joint Research Centre Data Catalogue GHS-OBAT R2024A - GHS Building Attributes at footprint level, with age, function and morphological information (2020) (Original data) .

    Article Title: Spatial and temporal dynamics of urban heat environment at the township scale: A case study in Jinan city, China
    Article Snippet: GHS built-up surface grid (GHS-BUILT-S) , Global Human Settlement Layer (GHSL), European Commission (EC), Joint Research Centre (JRC) [ ] , 100 m , 2020.

    Article Title: The Multi-temporal and Multi-dimensional Global Urban Centre Database to Delineate and Analyse World Cities
    Article Snippet: The Global Human Settlement Layer project of the European Commission’s Directorate General Joint Research Centre uses big data from Earth Observation and other open geospatial information to produce global spatial information about the human presence on the planet over time , mainly as built-up area (GHS-BUILT), population (GHS-POP) and settlement classification (GHS-SMOD) grids.

    Article Title: Salmonellosis prevalence and risk factors in chicken breeding farms in and around Arba Minch town, Gamo Zone, Ethiopia.
    Article Snippet: European Commission's Joint Research Centre (2021) Work on the GHS built-up grid.

    Derivative Assay:

    Article Title: A Comparative Analysis of Explainable Artificial Intelligence Models for Electric Field Strength Prediction over Eight European Cities.
    Article Snippet: .. Pesaresi, M.; Politis, P. GHS-BUILT-S R2023A—GHS Built-Up Surface Grid, Derived from Sentinel2 Composite and Landsat, Multitemporal (1975–2030); Technical Report; European Commission, Joint Research Centre (JRC): Brussels, Belgium, 2023. ..

    Article Title: The global wildland-urban interface.
    Article Snippet: .. Pesaresi, M. & Politis, P. GHS Built-up Surface Grid, Derived From Sentinel2 and Landsat, Multitemporal (1975–2030) (European Commission, Joint Research Center, 2022). ..

    Article Title: Rethinking ecological niches and geographic distributions in face of pervasive human influence in the Anthropocene.
    Article Snippet: .. GHS-BUILT-S R2023A - GHS built-up surface grid, derived from Sentinel2 composite and Landsat, multitemporal (1975–2030) European Commission, Joint Research Centre (JRC). ..



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