81 buildings

Downloading Microsoft and Google Building Footprints

This notebook demonstrates how to download Microsoft and Google Building Footprints and merge them into a single vector file.

• Microsoft Global Building Footprints: https://github.com/microsoft/GlobalMLBuildingFootprints
• Google Open Buildings: https://sites.research.google/open-buildings

Uncomment the following line to install leafmap if needed.

In [1]:

# %pip install -U leafmap geopandas

# %pip install -U leafmap geopandas

In [2]:

import leafmap

import leafmap

Specify the country name.

In [3]:

country = "Libya"

country = "Libya"

Specify the number of files to download. Set to None to download all files.

In [4]:

head = 2

head = 2

Download the Microsoft building footprints.

In [5]:

leafmap.download_ms_buildings(
    country, 
    out_dir="buildings", 
    merge_output=f"{country}_ms.shp", 
    head=head
    )

leafmap.download_ms_buildings( country, out_dir="buildings", merge_output=f"{country}_ms.shp", head=head )

Found 84 links for Libya
Downloading 1 of 2: 122003333.geojson
Downloading 2 of 2: 122012202.geojson
Reading 1 of 2: buildings/122003333.geojson
Reading 2 of 2: buildings/122012202.geojson
Merging GeoDataFrames ...
Saving merged file to Libya_ms.shp ...
Saved merged file to Libya_ms.shp

Out[5]:

['buildings/122003333.geojson', 'buildings/122012202.geojson']

Display the Microsoft building footprints.

In [6]:

m = leafmap.Map()
m.add_basemap("SATELLITE")
m.add_vector(f"{country}_ms.shp", layer_name="MS Buildings")
m

m = leafmap.Map() m.add_basemap("SATELLITE") m.add_vector(f"{country}_ms.shp", layer_name="MS Buildings") m

Out[6]: