43 lines
1.5 KiB
Python
43 lines
1.5 KiB
Python
import geopandas as gpd
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import planetary_computer
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import pystac_client
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import odc.stac
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import numpy as np
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import time
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from shapely.geometry import Point, box, shape
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bbox = [105.5, 9.2, 106.3, 10.0]
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time_range = "2023-01-01/2023-04-30"
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catalog = pystac_client.Client.open("https://planetarycomputer.microsoft.com/api/stac/v1", modifier=planetary_computer.sign_inplace)
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items = list(catalog.search(collections=["sentinel-2-l2a"], bbox=bbox, datetime=time_range, query={"eo:cloud_cover": {"lt": 30}}).items())
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x = 561609
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y = 1024183
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start = time.time()
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# Filter items by spatial intersection
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from pyproj import Transformer
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# The items geometry are in EPSG:4326 (lon, lat)
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# Our x, y are in EPSG:32648
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transformer = Transformer.from_crs("epsg:32648", "epsg:4326", always_xy=True)
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lon, lat = transformer.transform(x, y)
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point = Point(lon, lat)
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filtered_items = []
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for item in items:
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geom = shape(item.geometry)
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if geom.contains(point):
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filtered_items.append(item)
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filtered_items = sorted(filtered_items, key=lambda x: x.properties["eo:cloud_cover"])
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print("Original items:", len(items))
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print("Filtered items:", len(filtered_items))
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print("Time to filter:", time.time() - start)
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start = time.time()
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filtered_items = [planetary_computer.sign(item) for item in filtered_items]
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ds = odc.stac.load(filtered_items[:4], bands=["B02"], x=(x-80, x+80), y=(y-80, y+80), crs="EPSG:32648", resolution=10, patch_url=planetary_computer.sign, fail_on_error=False).compute()
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print("Time to load 4 items:", time.time() - start)
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print(ds["B02"].shape)
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