This spatial raster dataset delineates human settlements at 10 m resolution, and describes their inner characteristics in terms of the functional and height-related components of the built environment. More information about the GHSL data products can be found in the GHSL Data Package 2023 report …
This spatial raster dataset depicts the global distribution of building heights at a resolution of 100 m, referred to the year 2018. The input data used to predict building heights are the ALOS Global Digital Surface Model (30 m), the NASA Shuttle Radar Topographic Mission …
This 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 …
This raster dataset depicts the distribution of built-up surfaces, expressed in square metres per 10 m grid cell, for 2018 as observed from the S2 image data. The datasets measure: a) the total built-up surface, and b) the built-up surface allocated to grid cells of …
This raster dataset depicts the global distribution of building volume, expressed in cubic metres per 100 m grid cell. The dataset measures the total building volume and the building volume allocated to grid cells of predominant non-residential (NRES) use. Estimates are based on the built-up …
This raster dataset depicts the spatial distribution of residential population, expressed as the absolute number of inhabitants of the cell. Residential population estimates between 1975 and 2020 in 5-year intervals and projections to 2025 and 2030 derived from CIESIN GPWv4.11 were disaggregated from census or …
This 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 …
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],[],[[["The GHSL datasets provide a global, multi-temporal view of human settlements, including building heights, built-up surfaces, and population distribution."],["Building characteristics are available at 10m resolution, while building heights, volumes, and population are provided at 100m resolution."],["The datasets cover a range of time periods, including historical data from 1975 to present and projections for future years."],["Data sources include satellite imagery such as Sentinel-2 and ALOS, as well as census data and other global datasets like CIESIN GPWv4.11."],["The GHSL datasets support various applications like urban planning, disaster risk assessment, and monitoring sustainable development goals."]]],["The content describes multiple Global Human Settlement Layer (GHSL) datasets, each focused on different aspects of human settlements. These datasets include: settlement characteristics, building height, built-up surface area (at 10m and 100m), building volume, population distribution, and degree of urbanization. The data spans from 1975 to 2030, providing historical data and projections, all derived from satellite imagery and census information. Each dataset measures in square or cubic meters.\n"]]
