157 lines
6.6 KiB
Python
157 lines
6.6 KiB
Python
import os
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import rasterio
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import xml.etree.ElementTree as ET
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import requests
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from rasterio.warp import transform_geom
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from rasterio.windows import from_bounds, transform as window_transform
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from pystac_client import Client
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def download_s2(year, site_position, site_name, date_range=None):
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lat, lon = site_position
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datetime_range = date_range or f"{year}-01-01/{year}-12-31"
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output_dir = f"data/{site_name}/{year}/s2/"
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print(f"[S2] Starting download: {site_name} ({lat:.6f}, {lon:.6f}), {year}")
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bbox_size = 0.011
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bbox = [
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lon - bbox_size / 2,
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lat - bbox_size / 2,
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lon + bbox_size / 2,
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lat + bbox_size / 2,
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]
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bands = {"B02": "blue", "B03": "green", "B04": "red", "B8A": "nir"}
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os.makedirs(output_dir, exist_ok=True)
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print("[S2] Connecting to STAC catalog...")
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client = Client.open("https://earth-search.aws.element84.com/v1")
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search = client.search(
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collections=["sentinel-2-l2a"],
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intersects={"type": "Point", "coordinates": [lon, lat]},
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datetime=datetime_range,
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max_items=1000,
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)
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print("[S2] Searching items...")
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items_by_key = {}
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for item in search.items():
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date = item.datetime.strftime("%Y%m%d")
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parts = item.id.split("_")
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increment = parts[3] if len(parts) > 3 else "0"
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key = (date, increment)
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if key not in items_by_key:
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items_by_key[key] = item
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print(f"[S2] Found {len(items_by_key)} unique items")
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for (date, increment), item in items_by_key.items():
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filepath = os.path.join(output_dir, f"{date}_{increment}.geotiff")
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if os.path.exists(filepath):
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print(f"[S2] Skipping {date}_{increment}.geotiff (exists)")
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continue
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print(f"[S2] Processing {date}_{increment}...")
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band_data = {}
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profile = None
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for band_name, asset_name in bands.items():
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if asset_name in item.assets:
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asset = item.assets[asset_name]
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with rasterio.open(asset.href) as src:
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bbox_geom = {
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"type": "Polygon",
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"coordinates": [
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[
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[bbox[0], bbox[1]],
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[bbox[2], bbox[1]],
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[bbox[2], bbox[3]],
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[bbox[0], bbox[3]],
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[bbox[0], bbox[1]],
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]
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],
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}
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bbox_transformed = transform_geom("EPSG:4326", src.crs, bbox_geom)
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coords = bbox_transformed["coordinates"][0]
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x_coords = [c[0] for c in coords[:4]]
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y_coords = [c[1] for c in coords[:4]]
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bbox_crs = [
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min(x_coords),
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min(y_coords),
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max(x_coords),
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max(y_coords),
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]
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src_bounds = src.bounds
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intersect_bbox = [
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max(bbox_crs[0], src_bounds.left),
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max(bbox_crs[1], src_bounds.bottom),
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min(bbox_crs[2], src_bounds.right),
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min(bbox_crs[3], src_bounds.top),
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]
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window = from_bounds(*intersect_bbox, src.transform)
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if window.height > 0 and window.width > 0:
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data = src.read(window=window)
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new_transform = window_transform(window, src.transform)
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if profile is None:
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profile = {
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"driver": "GTiff",
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"height": window.height,
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"width": window.width,
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"count": len(bands),
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"dtype": data.dtype,
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"crs": src.crs,
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"transform": new_transform,
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"compress": "lzw",
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}
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band_idx = list(bands.keys()).index(band_name)
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band_data[band_idx] = data[0]
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if profile and len(band_data) == len(bands):
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stacked = [band_data[i] for i in sorted(band_data.keys())]
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band_names = [list(bands.keys())[i] for i in sorted(band_data.keys())]
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# Extract viewing angle from granule metadata XML
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viewing_angle = None
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if "granule_metadata" in item.assets:
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try:
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xml_url = item.assets["granule_metadata"].href
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xml_resp = requests.get(xml_url, timeout=10)
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xml_resp.raise_for_status()
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root = ET.fromstring(xml_resp.content)
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# Find Mean_Viewing_Incidence_Angle ZENITH_ANGLE
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for angle_elem in root.findall(".//Mean_Viewing_Incidence_Angle"):
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if angle_elem.get("bandId") == "0": # Use first band or average
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zenith_elem = angle_elem.find("ZENITH_ANGLE")
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if zenith_elem is not None:
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viewing_angle = abs(float(zenith_elem.text))
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break
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# If not found, try averaging all bands
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if viewing_angle is None:
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angles = []
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for angle_elem in root.findall(
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".//Mean_Viewing_Incidence_Angle"
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):
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zenith_elem = angle_elem.find("ZENITH_ANGLE")
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if zenith_elem is not None:
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angles.append(abs(float(zenith_elem.text)))
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if angles:
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viewing_angle = sum(angles) / len(angles)
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except Exception as e:
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print(f"[S2] Warning: Could not extract viewing angle: {e}")
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with rasterio.open(filepath, "w", **profile) as dst:
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for i, data in enumerate(stacked, 1):
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dst.write(data, i)
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dst.set_band_description(i, band_names[i - 1])
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if viewing_angle is not None:
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dst.update_tags(VIEWING_ZENITH_ANGLE=viewing_angle)
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print(
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f"[S2] Saved: {filepath} (viewing angle: {viewing_angle:.2f}°)"
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if viewing_angle
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else f"[S2] Saved: {filepath}"
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)
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else:
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print(f"[S2] Skipping {date}_{increment} (missing bands)")
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print("[S2] Completed")
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