Allow arguments for download.

This commit is contained in:
Felix Delattre 2025-12-18 10:54:22 +01:00
parent 484fa0bb4c
commit 22d493bc2d
5 changed files with 242 additions and 142 deletions

View file

@ -11,83 +11,127 @@ from rasterio.transform import from_bounds
load_dotenv()
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 = {"SDR_Oa04": "blue", "SDR_Oa06": "green", "SDR_Oa08": "red", "SDR_Oa17": "nir"}
output_dir = Path("data/innsbruck/2024/s3/")
output_dir.mkdir(parents=True, exist_ok=True)
band_map = {"SDR_Oa04": "B04", "SDR_Oa06": "B06", "SDR_Oa08": "B08", "SDR_Oa17": "B17"}
openeo_bands = [band_map.get(b, b) for b in bands.keys()]
def download_s3(year, site_position, site_name):
lat, lon = site_position
datetime_range = f"{year}-01-01/{year}-12-31"
output_dir = Path(f"data/{site_name}/{year}/s3/")
start_date, end_date = datetime_range.split("/")
spatial_extent = {
"west": bbox[0], "east": bbox[2],
"south": bbox[1], "north": bbox[3]
}
print(f"[S3] Starting download: {site_name} ({lat:.6f}, {lon:.6f}), {year}")
token_response = requests.post(
"https://identity.dataspace.copernicus.eu/auth/realms/CDSE/protocol/openid-connect/token",
data={
"grant_type": "password",
"username": os.getenv("CDSE_USER"),
"password": os.getenv("CDSE_PASSWORD"),
"client_id": "cdse-public"
bbox_size = 0.011
bbox = [
lon - bbox_size / 2,
lat - bbox_size / 2,
lon + bbox_size / 2,
lat + bbox_size / 2,
]
bands = {
"SDR_Oa04": "blue",
"SDR_Oa06": "green",
"SDR_Oa08": "red",
"SDR_Oa17": "nir",
}
)
token_response.raise_for_status()
tokens = token_response.json()
access_token = tokens["access_token"]
output_dir.mkdir(parents=True, exist_ok=True)
conn = openeo.connect("openeo.dataspace.copernicus.eu")
conn.authenticate_oidc_access_token(access_token)
band_map = {
"SDR_Oa04": "B04",
"SDR_Oa06": "B06",
"SDR_Oa08": "B08",
"SDR_Oa17": "B17",
}
openeo_bands = [band_map.get(b, b) for b in bands.keys()]
datacube = conn.load_collection(
"SENTINEL3_OLCI_L1B",
spatial_extent=spatial_extent,
temporal_extent=[start_date, end_date],
bands=openeo_bands,
).resample_spatial(projection=32632)
start_date, end_date = datetime_range.split("/")
spatial_extent = {
"west": bbox[0],
"east": bbox[2],
"south": bbox[1],
"north": bbox[3],
}
output_file = output_dir / "s3_data.nc"
datacube.download(str(output_file), format="NetCDF")
print("[S3] Authenticating...")
token_response = requests.post(
"https://identity.dataspace.copernicus.eu/auth/realms/CDSE/protocol/openid-connect/token",
data={
"grant_type": "password",
"username": os.getenv("CDSE_USER"),
"password": os.getenv("CDSE_PASSWORD"),
"client_id": "cdse-public",
},
)
token_response.raise_for_status()
tokens = token_response.json()
access_token = tokens["access_token"]
nc = netCDF4.Dataset(str(output_file), 'r')
times = netCDF4.num2date(nc.variables['t'][:], nc.variables['t'].units)
x_coords = nc.variables['x'][:]
y_coords = nc.variables['y'][:]
band_vars = sorted([v for v in nc.variables.keys() if v.startswith('B') and v[1:].isdigit()])
band_names = [list(bands.keys())[openeo_bands.index(b)] for b in band_vars]
print("[S3] Connecting to OpenEO...")
conn = openeo.connect("openeo.dataspace.copernicus.eu")
conn.authenticate_oidc_access_token(access_token)
transform = from_bounds(
float(x_coords.min()), float(y_coords.min()),
float(x_coords.max()), float(y_coords.max()),
len(x_coords), len(y_coords)
)
print("[S3] Loading collection...")
datacube = conn.load_collection(
"SENTINEL3_OLCI_L1B",
spatial_extent=spatial_extent,
temporal_extent=[start_date, end_date],
bands=openeo_bands,
).resample_spatial(projection=32632)
date_counts = {}
for t_idx, time_val in enumerate(times):
dt = time_val if isinstance(time_val, datetime) else netCDF4.num2date(nc.variables['t'][t_idx], nc.variables['t'].units)
date_str = dt.strftime("%Y%m%d")
increment = date_counts.get(date_str, 0)
date_counts[date_str] = increment + 1
band_data = [nc.variables[b][t_idx, :, :] for b in band_vars]
stacked = np.stack(band_data, axis=0)
output_path = output_dir / f"{date_str}_{increment}.geotiff"
with rasterio.open(
output_path, 'w',
driver='GTiff', height=len(y_coords), width=len(x_coords),
count=len(band_data), dtype=stacked.dtype, crs='EPSG:32632',
transform=transform, compress='lzw'
) as dst:
dst.write(stacked)
for i, band_name in enumerate(band_names, 1):
dst.set_band_description(i, band_name)
print(f"Saved: {output_path}")
output_file = output_dir / "s3_data.nc"
print("[S3] Downloading NetCDF...")
datacube.download(str(output_file), format="NetCDF")
nc.close()
os.remove(output_file)
print("[S3] Processing NetCDF...")
nc = netCDF4.Dataset(str(output_file), "r")
times = netCDF4.num2date(nc.variables["t"][:], nc.variables["t"].units)
x_coords = nc.variables["x"][:]
y_coords = nc.variables["y"][:]
band_vars = sorted(
[v for v in nc.variables.keys() if v.startswith("B") and v[1:].isdigit()]
)
band_names = [list(bands.keys())[openeo_bands.index(b)] for b in band_vars]
transform = from_bounds(
float(x_coords.min()),
float(y_coords.min()),
float(x_coords.max()),
float(y_coords.max()),
len(x_coords),
len(y_coords),
)
print(f"[S3] Found {len(times)} time steps")
date_counts = {}
for t_idx, time_val in enumerate(times):
dt = (
time_val
if isinstance(time_val, datetime)
else netCDF4.num2date(nc.variables["t"][t_idx], nc.variables["t"].units)
)
date_str = dt.strftime("%Y%m%d")
increment = date_counts.get(date_str, 0)
date_counts[date_str] = increment + 1
band_data = [nc.variables[b][t_idx, :, :] for b in band_vars]
stacked = np.stack(band_data, axis=0)
output_path = output_dir / f"{date_str}_{increment}.geotiff"
with rasterio.open(
output_path,
"w",
driver="GTiff",
height=len(y_coords),
width=len(x_coords),
count=len(band_data),
dtype=stacked.dtype,
crs="EPSG:32632",
transform=transform,
compress="lzw",
) as dst:
dst.write(stacked)
for i, band_name in enumerate(band_names, 1):
dst.set_band_description(i, band_name)
print(f"[S3] Saved: {output_path}")
nc.close()
os.remove(output_file)
print("[S3] Completed")