feat: implement comprehensive land cover classification pipeline with model benchmarking and experiment logging

2026-07-17 18:54:25 +07:00
parent a258db54cd
commit abab846884
69 changed files with 155558 additions and 105 deletions
@@ -0,0 +1,17 @@
+import geopandas as gpd
+import planetary_computer
+import pystac_client
+import odc.stac
+import numpy as np
+
+bbox = [105.5, 9.2, 106.3, 10.0]
+time_range = "2023-01-01/2023-04-30"
+catalog = pystac_client.Client.open("https://planetarycomputer.microsoft.com/api/stac/v1", modifier=planetary_computer.sign_inplace)
+items = list(catalog.search(collections=["sentinel-2-l2a"], bbox=bbox, datetime=time_range, query={"eo:cloud_cover": {"lt": 30}}).items())[:4]
+items = [planetary_computer.sign(item) for item in items]
+
+x = 561609
+y = 1024183
+ds = odc.stac.load(items, bands=["B02", "B03", "B04", "B08"], x=(x-80, x+80), y=(y-80, y+80), crs="EPSG:32648", resolution=10, patch_url=planetary_computer.sign).compute()
+print("B04 nanmean:", np.nanmean(ds["B04"].values))
+print("B04 nanmax:", np.nanmax(ds["B04"].values))