55 lines
1.8 KiB
Python
55 lines
1.8 KiB
Python
|
"""Extract satellite embeddings from Google Earth Engine and map them to a grid."""
|
||
|
|
|
||
|
|
from pathlib import Path
|
||
|
|
from typing import Literal
|
||
|
|
|
||
|
|
import cyclopts
|
||
|
|
import ee
|
||
|
|
import geemap
|
||
|
|
import geopandas as gpd
|
||
|
|
from rich import pretty, traceback
|
||
|
|
|
||
|
|
pretty.install()
|
||
|
|
traceback.install()
|
||
|
|
ee.Initialize(project="ee-tobias-hoelzer")
|
||
|
|
|
||
|
|
DATA_DIR = Path("data")
|
||
|
|
|
||
|
|
|
||
|
|
def cli(grid: Literal["hex", "healpix"], level: int, year: int):
|
||
|
|
"""Extract satellite embeddings from Google Earth Engine and map them to a grid.
|
||
|
|
|
||
|
|
Args:
|
||
|
|
grid (Literal["hex", "healpix"]): The grid type to use.
|
||
|
|
level (int): The grid level to use.
|
||
|
|
year (int): The year to extract embeddings for. Must be between 2017 and 2024.
|
||
|
|
|
||
|
|
"""
|
||
|
|
grid = gpd.read_parquet(DATA_DIR / f"grids/permafrost_{grid}{level}_grid.parquet")
|
||
|
|
eegrid = ee.FeatureCollection(grid.to_crs("epsg:4326").__geo_interface__)
|
||
|
|
embedding_collection = ee.ImageCollection("GOOGLE/SATELLITE_EMBEDDING/V1/ANNUAL").filterDate(
|
||
|
|
f"{year}-01-01", f"{year}-12-31"
|
||
|
|
)
|
||
|
|
|
||
|
|
def extract_embedding(feature):
|
||
|
|
# Filter collection by geometry
|
||
|
|
geom = feature.geometry()
|
||
|
|
embedding = embedding_collection.filterBounds(geom).mosaic().clip(geom)
|
||
|
|
# Get mean embedding value for the geometry
|
||
|
|
mean_dict = embedding.reduceRegion(
|
||
|
|
reducer=ee.Reducer.median(),
|
||
|
|
geometry=geom,
|
||
|
|
)
|
||
|
|
# Add mean embedding values as properties to the feature
|
||
|
|
return feature.set(mean_dict)
|
||
|
|
|
||
|
|
eeegrid = eegrid.map(extract_embedding)
|
||
|
|
df = geemap.ee_to_df(eeegrid)
|
||
|
|
bands = [f"A{str(i).zfill(2)}" for i in range(64)]
|
||
|
|
embeddings_on_grid = grid.merge(df[[*bands, "cell_id"]], on="cell_id", how="left")
|
||
|
|
embeddings_on_grid.to_parquet(DATA_DIR / f"embeddings/permafrost_{grid}{level}_embeddings-{year}.parquet")
|
||
|
|
|
||
|
|
|
||
|
|
if __name__ == "__main__":
|
||
|
|
cyclopts.run(cli)
|