website：https://github.com/microsoft/GlobalMLBuildingFootprints?tab=readme-ov-file
Python程式碼Start
"""
This snippet demonstrates how to access and convert the buildings
data from .csv.gz to geojson for use in common GIS tools. You will
need to install pandas, geopandas, and shapely.
"""
import pandas as pd
import geopandas as gpd
from shapely.geometry import shape
def main():
# this is the name of the geography you want to retrieve. update to meet your needs
location = 'Greece' #把國家名替換成對應國家英文名即可，網址不用改
dataset_links = pd.read_csv("https://minedbuildings.blob.core.windows.net/global-buildings/dataset-links.csv")
greece_links = dataset_links[dataset_links.Location == location]
for _, row in greece_links.iterrows():
df = pd.read_json(row.Url, lines=True)
df['geometry'] = df['geometry'].apply(shape)
gdf = gpd.GeoDataFrame(df, crs=4326)
gdf.to_file(f"{row.QuadKey}.geojson", driver="GeoJSON")
if __name__ == "__main__":
main()
Python程式碼end