Urban Delineation

Short description

Urban delineation algorithm classify and delineate urban clusters by typologies. Method was developed by Joint Research Centre (JRC) and described in Atlas of Human Planet 2019 The algorithm uses the global-coverage built-up (GHS-BUILT-S_GLOBE_R2022A) and population (GHS-POP_GLOBE_R2022A) raster datasets as the input data (JRC’s GHSL). The algorithm classifies and delineates settlements by typologies on two hierarchical levels.At the first hierarchical level, the algorithm identifies the High Density Clusters (Urban Centre) and Moderate Density Clusters.At the second hierarchical level, the algorithm identifies the High Density Clusters (Urban Centre), Dense Urban Clusters, Semi-Dense Urban Clusters and Peri-Urban Clusters.

GHSL Data products

The Urban delineation algorithm combines two data products from the Global Human Settlement Layer (GHSL) Data Package 2022. Both are available as xcube datasets. GHS-BUILT-S R2022A - GHS built-up surface grid GHS-POP R2022A - GHS population grid

GHSL products parameters

Spatial resolution: 1kmCoord. system: Mollweide (ESRI:54009)Reference years: from 1975 to 2020, 5 years interval

Results

Geojson files containing polygons of High Density Clusters (Urban Centre), Moderate Density Clusters, Dense Urban Clusters, Semi-Dense Urban Clusters and Peri-Urban Clusters in selected AOI and reference year. The polygons are projected onto the WGS84 coordinate reference system.

First hierarchical level

First hierarchical level - definition


First hierarchical level - result

Second hierarchical level

Second hierarchical level - definition


Second hierarchical level - result

Pricing

Details in PRICING.MD

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