NYU Open Research : Scholarly materials produced by members of the NYU community.
Published June 23, 2026 | Version v1
Dataset Open

uMORPH: Global LOD1 Buildings and 100-meter Urban Canopy Parameters Dataset

  • 1. ROR icon New York University
  • 2. ROR icon George Mason University

Description

uMORPH is a global dataset of Level-of-Detail-1 (LOD1) building footprints with heights and 100-meter Urban Canopy Parameters (UCPs), covering 98.4% cities or locales with populations over 50,000, representing 7.84 billion people (94.5% global population), spanning all continents. uMORPH is generated using a 2 x 2 degree tile-based workflow, thus coverage extends beyond the target cities, and also includes cities lesser than 50,000 people within each processed tile.

uMORPH integrates building footprint and height data from Overture Maps Foundation (v1.9.0–v1.10.0, sourced from OpenStreetMap, Google, and Microsoft), with height infilling from the Global Human Settlement Layer Average Net Building Heights (GHSL ANBH, R2023A) where native heights were unavailable. Building geometries and heights (~2.38 billion footprints) are provided as GeoParquet vector tiles, and seven derived UCPs — mean building height, area-weighted mean building height, standard deviation of building height, plan area fraction, building surface-to-plan area ratio, frontal area index (4 directions), and building height distribution (15 bins), totaling 24 raster layers — are distributed as global Cloud-Optimized GeoTIFFs (100 m, WGS84) and as WRF/WPS geogrid binaries (organized by continent) compatible with the SLUCM, BEP, and BEP+BEM urban canopy schemes. It is intended to support neighborhood-scale urban climate modeling and machine-learning applications requiring consistent, global-coverage building morphology and urban canopy data, as well as other urban applications and GIS visualization systems.

Other

We recommend accessing this dataset through the dedicated Globus endpoint here: https://app.globus.org/file-manager?origin_id=c43d41ac-d286-4ac4-9318-3d65f3d9b855&origin_path=%2Fmrt3g-htt34-umorph%2F. API access to Globus is also available.

Users who are interested in locating tiles for specific cities/locations can find an index with direct links to files at https://umorph.urbansystemslab.com/

For users who wish to download data directly from UltraViolet, we recommend using the API. LOD1_building_footprints_heights_asia.zip is only available via API.

Map

Features

Web Services

WMS Layer Name
sdr:nyu_mrt3g_htt34

Files

uMORPH_Dataset_README.pdf

Files (311.6 GB)

Name Size
additional_data_tiles_logs.zip md5:40817b43200cd0f119c602bf24a28198
248.4 kB Preview Download
africa.zip md5:dffc6f1a8c9ab7f0aaab4a2f30577fce
2.5 GB Preview Download
area_weighted_mean_height.tar md5:ab072dc048279fba0d1a7cedc1e0dce5
4.9 GB Download
asia.zip md5:abf3247950d098da27e76f12fad6b9b3
5.1 GB Preview Download
building_height_distribution.tar md5:32bdfb899af9cc87bb33124c83525443
24.0 GB Download
europe.zip md5:7d9f3cd929a788bc1cb6c3dd566af3e8
2.5 GB Preview Download
frontal_area_index.tar md5:2b6120df3a3a9b6680ca75532db28b56
21.7 GB Download
global_mean_building_height_100m_wgs_COG_sample.tif md5:2fa2c921be9141fedfd0ef8e5c5378d9
4.9 GB Preview Download
LOD1_building_footprints_heights_africa.zip md5:01cf0e6958cc1299d204957bd66a18eb
38.1 GB Preview Download
LOD1_building_footprints_heights_asia.zip md5:7b0fff69d4f2dd7b9a7ce35eaf4878d2
94.8 GB Preview
LOD1_building_footprints_heights_europe.zip md5:835df65c46ffe81cfb3314df447af019
39.5 GB Preview Download
LOD1_building_footprints_heights_north_america.zip md5:2ce97a39ea2aadd2f3292d6d29b734d2
27.8 GB Preview Download
LOD1_building_footprints_heights_oceania.zip md5:f60b5071226cf9280112a72b7fef30e3
1.4 GB Preview Download
LOD1_building_footprints_heights_south_america.zip md5:3550fd3f352620d351689bd88efd5333
17.7 GB Preview Download
md5sum.txt md5:fe00790fcef7187f7778ce1ca56d25e0
206.2 kB Preview Download
mean_building_height.tar md5:cd1999d5e835391a8b5477168d1396cf
4.9 GB Download
north_america.zip md5:a7337adbca0a5acaa2c3638e7ae18749
2.5 GB Preview Download
oceania.zip md5:9b4dd25bb20a3129eda9fb255c263ea3
2.6 GB Preview Download
plan_area_fraction.tar md5:ee3e55b34c62dc277423b39e8d596ada
5.4 GB Download
south_america.zip md5:2235e195fa66c37eab0b07ac3b3d3f95
1.3 GB Preview Download
std_dev_building_height.tar md5:9c51aa8204a7effe07dfe019d79d2614
4.8 GB Download
surface_to_plan_area_ratio.tar md5:6b5690000bd40e85e4e2fef4aed7ae95
5.4 GB Download
umorph_additional_data_tiles_logs_metadata.csv md5:bb7c08e5e408c2fc0eafb9ee3e61cd35
695 Bytes Preview Download
uMORPH_Dataset_README.pdf md5:f8a969f92510dcb9b1a772e1c45a11e3
6.3 MB Preview Download
umorph_LOD1_building_footprints_heights_metadata.csv md5:4f1b02ec90a688a27372c05154430c8a
302.1 kB Preview Download
umorph_ucp_continental_geogrid_binaries_metadata.csv md5:2cc0d76de25120e83f8d14e92f769e11
1.5 kB Preview Download
umorph_ucp_global_cloud_optimized_geotiffs_metadata.csv md5:24b394fe85d4588e524865949397bc44
6.8 kB Preview Download

Additional details

Related works

Is supplemented by
Other: https://umorph.urbansystemslab.com/ (URL)

Funding

Google (United States)
ClimateIQ TF2307-114864

GeoServer

WMS Layer Name
sdr:nyu_mrt3g_htt34
WFS Layer Name