Urban Delineation - WSF

derived data on-demand urban delineation vector wsf xcube

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. This version of the Urban Delineation algorithm has been adapted to utilize the WSF2019population dataset at a resolution of 10 meters. The WSF2019population dataset is provided by the German Aerospace Center (DLR) and describes the spatial distribution of the human population. This dataset is currently available for Bolivia, Chile, Kenya and Myanmar. User-defined area of interest (aoi) per order is limited to 10.000 km2To run the WSF Urban Delineation, navigate to EDC Browser, select the required input parameters (Country, Area of interest, Minimum Area of Urban Patches and Threshold for Total Population in Urban Patches) and follow the check-out wizard to complete your order.

Additional info

Additional info

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Geographical coverage

Bolivia, Chile, Kenya and Myanmar.

Temporal availability

2019

Update Frequency

On-demand

Attributes Information

NameDescriptionType
AOIArea of interestbounding box
CountryCountry (Bolivia, Chile, Kenya and Myanmar)string
Minimum Area of Urban PatchesMinimum Area of Urban Patches (pixels)int, default=50000
Total Population in Urban PatchesTotal Population in Urban Patchesint, default=10000
Filling Holes Area of Urban PatchesFilling Holes Area of Urban Patches (pixels)int, default=50000

Produced results

NameDescription
UCD_EPSG4326_Country.geojsonGeojson file containing delineated polygons representing Urban Clusters within the selected AOI. These polygons are projected to the WGS84 coordinate reference system.

Pricing

Prices per order is 100€. Check here for more info about pricing and restrictions.

License

Creative Commons Attribution 4.0 International License

Provider

Gisat s.r.o.

Managed By

Gisat s.r.o.

See all datasets managed by Gisat s.r.o..

Contact

https://forum.sentinel-hub.com/c/euro-data-cube/

    tif

  • store_id
    WSF
    store_title
    World Settlement Footprint (WSF2019population) on S3
    data_id
    WSF2019population

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