Created
April 21, 2023 08:58
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Maximum Coverage EPSG
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import geopandas as gpd | |
from pyproj.crs.crs import CRS | |
def maximum_coverage_epsg( | |
tiles: list[gpd.GeoDataFrame], | |
roi: gpd.GeoDataFrame, | |
metric_epsg: str | CRS | None = None, | |
) -> CRS: | |
"""Maximum Coverage EPSG | |
Given a set of tiles (GeoDataFrames with a single feature each) | |
and a ROI (GeoDataFrame with a single feature), finds out | |
the EPSG of the tile covering the most area in the ROI. | |
If an epsg is provided via metric_epsg, it is used to reproject the tiles | |
and ROI to a common epsg for comparing areas. If not, the epsg of the | |
ROI is used. | |
Args: | |
tiles (list[gpd.GeoDataFrame]): Input tiles. | |
roi (gpd.GeoDataFrame): Input ROI. | |
Returns: | |
CRS: the CRS of the tile covering the most area in the ROI. | |
""" | |
return list( | |
sorted( | |
tiles, | |
key = lambda x: -x.to_crs( | |
metric_epsg or roi.crs, | |
).intersection( | |
roi.to_crs(metric_epsg) if metric_epsg else roi, | |
).area.values[0], | |
) | |
)[0].crs | |
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