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44 lines
No EOL
1.5 KiB
Python
44 lines
No EOL
1.5 KiB
Python
import glob
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import urllib.parse
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from pathlib import Path
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import zipfile
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import geopandas as gp
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def band_paths(p, bands, resolution=None):
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'''
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Given a zip file or folder at `p`, returns the paths inside p to the raster files containing
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information for the given bands. Because some bands are available in more than one
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resolution, this can be filtered by prodiding a third parameter (e.g. resolution='10m').
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The returned paths are formatted in the zip scheme as per Apache Commons VFS if necessary
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and can be directly opened by rasterio.
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'''
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if p.endswith('.zip'):
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with zipfile.ZipFile(p) as f:
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files = f.namelist()
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rasters = [f for f in files if f.endswith('.jp2')]
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else:
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rasters = glob.glob(Path(p) / '**/*.jp2')
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rasters = [r for r in rasters for b in bands if b in r]
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if resolution:
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rasters = [r for r in rasters if resolution in r]
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rasters = ['zip+file://' + p + '!/' + r for r in rasters]
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return rasters
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def rgb_paths(zip_file, resolution='10m'):
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return band_paths(zip_file, ['B02', 'B03', 'B04'], resolution)
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def search_osm(place):
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'''
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Returns a GeoDataFrame with results from OpenStreetMap Nominatim for the given search string.
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This allows us to fetch detailed geometries for virtually any place on earth.
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'''
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urlescaped_place = urllib.parse.quote(place)
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search_url = 'https://nominatim.openstreetmap.org/search/?q={}&format=geojson&polygon_geojson=1'.format(urlescaped_place)
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return gp.read_file(search_url) |