Environmental Data Platform
No abstract provided
https://doi.org/10.7916/d8-963j-wp65
The settlement extents and classification are derived solely from the building footprints, and no ancillary datasets are used. The centerpoints of building footprint features are converted to a 3 arc-second raster grid of building densities. Shell-up contours are then generated using the building density grid to delineate settled vs non-settled areas. The shell-up method includes contours that start at the lower bounds, but includes all grid cells with building densities to the upper bounds of the grid. For example, a shell up contour of 10 would include all grid cells with a building density of 10 or more. Contours with a building density of one or more are used to create the settlement extent polygons. The GRID3 Burundi settlement extents characterised building density into three (3) classes: built-up areas (bua_extents), small settlement areas (ssa_extents), and hamlets (hamlet_extents)
Burundi, bdi_settl_extents_hamlets_pol, features
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| Eurac Research - Center for Climate Change and Transformation |
| kathrin.renner@eurac.edu |
| Bolzano, 39100, ITA |
| Eurac Research - Center for Climate Change and Transformation |
| kathrin.renner@eurac.edu |
| Bolzano, 39100, ITA |
4326 (4326:EPSG)
Vector
Planning cadastre
| Name | Description | Link | Date published | Category |
|---|---|---|---|---|
| Maps web services URLs | Here you can find all the available web service URLs provided by Maps, to consume datasets through an interoperable client (QGIS, Python, etc.) or to develop codes for analysis. The most relevant services to access datasets are: WMS (Web Map Service) to visualize layers in a map and to query them); WFS (Web Feature Service) or WCS (Web Coverage Service) to download raw datsets and use them for deep analysis or transformation. | Link | Dec. 13, 2021 | Maps |
| maps.eurac.edu documentation | maps.eurac.edu is based on Geonode, here the link to the official documentation | Link | April 28, 2021 | Maps |
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