There is a newer version of the record available.

Published December 1, 2021 | Version 0.0.1
Dataset Open

Estimated height of the OpenStreetMap buildings of 24 French communes using the GeoClimate Software (version 0.0.1)

  • 1. University of Gothenburg, Lab-STICC
  • 2. CNRS, Lab-STICC
  • 3. Université Bretagne Sud, Lab-STICC
  • 4. Université de Lorraine, INRAE, LERMaB
  • 5. Météo-France
  • 6. Laboratoire Cogitamus

Description

This data contains building geometry footprints of 24 French cities and their corresponding building height as well as averaged building height value aggregated at rectangular grid cell (100 m by 100 m). The footprint geometries comes from the OpenStreetMap project and the building height has been estimated using a RandomForest algorithm using as independent variables indicators describing the building size and shape and the building environment. The data has been produced using the GeoClimate Software (version 0.0.1).

A more detailed description of the content can be used in the file "Metadata.csv".

Files

ALLAIRE.zip

Files (59.2 MB)

Name Size Download all
md5:c95086b3e532306a84ef199fc0d56f2a
666.6 kB Preview Download
md5:ed3cca388d45f252830be2e0b479f9be
3.8 MB Preview Download
md5:9324cba644405e92e955c0213f1c989e
4.3 MB Preview Download
md5:0567f4eaf6de278576296fe404c9e1d9
1.5 MB Preview Download
md5:04d394825970385aef1ca8aee507fc5a
129.2 kB Preview Download
md5:49ec0ac040928a72c68c1cfe6a3db72c
528.4 kB Preview Download
md5:e9c6848d6e019afe9d29fcd9e9f5d6df
266.8 kB Preview Download
md5:1b9e8b08183c19f7e43b107589c923d5
4.3 MB Preview Download
md5:6f4b29fcfb9c12d38e3df7226c0b0cdd
313.9 kB Preview Download
md5:83f5af241a5e85275207e85eaaf21433
412.3 kB Preview Download
md5:2e7bb0fe27bcc49d9c42586bf96a5e84
4.6 MB Preview Download
md5:01b9f32b4d87fbff43ab7357c0cb2f44
178.6 kB Preview Download
md5:c1e1fa375a2f41f8042ba01015adc53a
3.6 kB Preview Download
md5:c299b4300a247e8a2af4fd9c9f4d4062
985.1 kB Preview Download
md5:bfc1b0986c0387bdf9b04266343e1392
2.1 MB Preview Download
md5:a3afc55819f318219de6fba6c4f91516
9.2 MB Preview Download
md5:f9c18636b1d44e38f3f65393bb687941
1.3 MB Preview Download
md5:087f7e56d8b8591e88f8156c45222246
1.7 MB Preview Download
md5:a5e2f871a7dfa7e9db08b8b7c2ecb39b
883.9 kB Preview Download
md5:04b9113abaa319fb3681027370c3694c
54.8 kB Preview Download
md5:b44b7ba20cefd4237a2b6a9bd40997c0
5.5 MB Preview Download
md5:c5ccf2ae18b90448f2c7f8b548ff8b0c
122.3 kB Preview Download
md5:b4869970b132f50762fab033ad900762
525.9 kB Preview Download
md5:9f4298edb5fa67851596eac252cbab23
306.5 kB Preview Download
md5:bdf74991786d0635f29f91e008fad2e1
15.4 MB Preview Download

Additional details

Funding

CENSE – Characterization of urban sound environments: a comprehensive approach combining open data, measurements and modelling ANR-16-CE22-0012
Agence Nationale de la Recherche
ERA4CS – European Research Area for Climate Services 690462
European Commission