efast-phenocam-validation/download_s2.py
Felix Delattre 99a8686d52 foo
2025-12-17 11:21:17 +01:00

82 lines
3.4 KiB
Python

import os
import rasterio
from rasterio.warp import transform_geom
from rasterio.windows import from_bounds, transform as window_transform
from pystac_client import Client
datetime_range = "2024-01-01/2024-01-03"
lon, lat = 11.320308, 47.116171
bbox_size = 0.009
bbox = [lon - bbox_size/2, lat - bbox_size/2, lon + bbox_size/2, lat + bbox_size/2]
bands = {"B02": "blue", "B03": "green", "B04": "red", "B8A": "nir"}
output_dir = "data/innsbruck/2024/s2/"
os.makedirs(output_dir, exist_ok=True)
client = Client.open("https://earth-search.aws.element84.com/v1")
search = client.search(
collections=["sentinel-2-l2a"],
intersects={"type": "Point", "coordinates": [lon, lat]},
datetime=datetime_range,
max_items=1000,
)
items_by_key = {}
for item in search.items():
date = item.datetime.strftime("%Y%m%d")
parts = item.id.split("_")
increment = parts[3] if len(parts) > 3 else "0"
key = (date, increment)
if key not in items_by_key:
items_by_key[key] = item
for (date, increment), item in items_by_key.items():
filepath = os.path.join(output_dir, f"{date}_{increment}.geotiff")
if os.path.exists(filepath):
continue
band_data = {}
profile = None
for band_name, asset_name in bands.items():
if asset_name in item.assets:
asset = item.assets[asset_name]
with rasterio.open(asset.href) as src:
bbox_geom = {
"type": "Polygon",
"coordinates": [[
[bbox[0], bbox[1]], [bbox[2], bbox[1]],
[bbox[2], bbox[3]], [bbox[0], bbox[3]], [bbox[0], bbox[1]]
]]
}
bbox_transformed = transform_geom("EPSG:4326", src.crs, bbox_geom)
coords = bbox_transformed["coordinates"][0]
x_coords = [c[0] for c in coords[:4]]
y_coords = [c[1] for c in coords[:4]]
bbox_crs = [min(x_coords), min(y_coords), max(x_coords), max(y_coords)]
src_bounds = src.bounds
intersect_bbox = [
max(bbox_crs[0], src_bounds.left), max(bbox_crs[1], src_bounds.bottom),
min(bbox_crs[2], src_bounds.right), min(bbox_crs[3], src_bounds.top),
]
window = from_bounds(*intersect_bbox, src.transform)
if window.height > 0 and window.width > 0:
data = src.read(window=window)
new_transform = window_transform(window, src.transform)
if profile is None:
profile = {
"driver": "GTiff", "height": window.height, "width": window.width,
"count": len(bands), "dtype": data.dtype, "crs": src.crs,
"transform": new_transform, "compress": "lzw"
}
band_idx = list(bands.keys()).index(band_name)
band_data[band_idx] = data[0]
if profile and len(band_data) == len(bands):
stacked = [band_data[i] for i in sorted(band_data.keys())]
band_names = [list(bands.keys())[i] for i in sorted(band_data.keys())]
with rasterio.open(filepath, "w", **profile) as dst:
for i, data in enumerate(stacked, 1):
dst.write(data, i)
dst.set_band_description(i, band_names[i-1])
print(f"Saved: {filepath}")