Multi-temporal characterization of human settlements distinguishing types of land use (e.g. urban, rural), counting population, and identifying built-up structures.
Produced by the Joint Research Centre (JRC), this dataset offers a global, multi-temporal perspetice on the spatial distribution of human populations and on urbanization patterns linked to population growth. It integrates gridded data on urban settlements with census data on human populations to generate a combine product, downscaling census data to the pixel level.
built | Presence of built structures
| content | description |
|---|---|
| value_range | 0…1 |
pop | Number of people per pixel
| content | description |
|---|---|
| value_range | 0…n |
smod | Classification of settlement types
| content | description |
|---|---|
| 1 | Cities |
| 2 | Towns and suburbs |
| 3 | Rural areas |
# data call without specifying subdataset and resolution
list_data("GHS")
# data call for specific subdataset
list_data("GHS/built")
# data call to subdataset with a specific resolution
list_data("GHS/built/300m")[1] Schiavina, Freire, and MacManus (2019)
[2] Pesaresi, Florczyk, Schiavina, Melchiorri, and Maffenini (2019)
[3] Corbane, Florczyk, Pesaresi, Martino, Panagiotis, and Vasileios (2019)