single image test

app/main.py

@@ -4,9 +4,65 @@ import time
 import pystac_client
 import geogif
 import stackstac
+from matplotlib import pyplot as plt
 
 
 
 if __name__ == "__main__":
     print("starting app.")
+   
+    URL = "https://stac.dataspace.copernicus.eu/v1"
+    cat = pystac_client.Client.open(URL)
+    cat.add_conforms_to("ITEM_SEARCH")
 
+    geom = {
+        "type": "Polygon",
+        "coordinates": [
+            [
+                [32.6, -17.3],
+                [32.6, -17.1],
+                [33.0, -17.1],
+                [33.0, -17.3],
+                [32.6, -17.3],
+            ]
+        ],
+    }
+
+
+    params = {
+        "max_items": 1,
+        "collections": "sentinel-2-l2a",
+        "datetime": "2017-02-01/2017-10-01",
+        "intersects": geom,
+        "query": {"eo:cloud_cover": {"gte": 0, "lte": 20}},
+        "sortby": "properties.eo:cloud_cover",
+        "fields": {"exclude": ["geometry"]},
+    }
+
+    print("Searching items...")
+    items = list(cat.search(**params).items_as_dicts())
+    print("Search successful.")
+
+
+
+    stack = stackstac.stack(
+        items=items,
+        resolution=(60, 60),
+        bounds_latlon=(33.0, -17.1, 32.6, -17.3),
+        chunksize=98304,
+        epsg=32634,
+        gdal_env=stackstac.DEFAULT_GDAL_ENV.updated(
+            {
+                "GDAL_NUM_THREADS": -1,
+                "GDAL_HTTP_UNSAFESSL": "YES",
+                "GDAL_HTTP_TCP_KEEPALIVE": "YES",
+                "AWS_VIRTUAL_HOSTING": "FALSE",
+                "AWS_HTTPS": "YES",
+            }
+        ),
+    )
+    
+    rgb = stack.sel(band=["B04_60m", "B03_60m", "B02_60m"])
+    print(rgb)
+    rgb.plot()
+    plt.show()