Datasets supporting the paper 'Narrowing the gap for city building height predictions'

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Datasets supporting the publication:
Watson, C.S., and Elliott, J.R. Narrowing the gap for city building height predictions

-Please refer to the publication for details on the production of each dataset.
-Please cite the publication and this dataset repository when using the data.

-Dataset owner: John Elliott J.Elliott@leeds.ac.uk
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Contents:

Cloud masks showing areas of the DEMs that are affected by cloud cover. Valid elevations are still present in some of these areas.

• quito_cloud_mask.gpkg
• naioribi_cloud_mask.gpkg
• kathmandu_cloud_mask.gpkg

City digital surface models (1.5 m resolution, UTM projections, ellipsoid height) generated from tri-stereo Pleiades imagery:

• dsm_quito.tif
• dsm_nairobi.tif
• dsm_kathmandu.tif

City digital terrain models (1.5 m resolution, UTM projections, ellipsoid height):

• dtm_quito.tif
• dtm_nairobi.tif
• dtm_kathmandu.tif

Acknowledgements:

This research has been supported the UK Research and Innovation (UKRI) Global Challenges Research Fund (GCRF) Urban Disaster Risk Hub (NE/S009000/1) (Tomorrow’s Cities), and COMET. COMET is the NERC Centre for the Observation and Modelling of Earthquakes, Volcanoes and Tectonics, a partnership between UK Universities and the British Geological Survey. John Elliott is supported by a Royal Society University Research fellowship (UF150282).