update

Author: awurno

.gitignore

@@ -2,4 +2,6 @@
 .Rhistory
 .RData
 .Ruserdata
-.idea
+.idea
+data/
+.vscode

TestGround/2025_sandbox.ipynb

@@ -1,23 +1,63 @@
 
-# From : https://geog-312.gishub.org/book/geospatial/rasterio.html#reading-raster-data
-import rasterio
-import rasterio.plot
+# # From : https://geog-312.gishub.org/book/geospatial/rasterio.html#reading-raster-data
+# import rasterio
+# import rasterio.plot
 
-import geopandas as gpd
-import numpy as np
-import matplotlib.pyplot as plt
+# import geopandas as gpd
+# import numpy as np
+# import matplotlib.pyplot as plt
 
 
-raster_path = (
-    "https://github.com/opengeos/datasets/releases/download/raster/dem_90m.tif"
-)
-src = rasterio.open(raster_path)
+# raster_path = (
+#     "https://github.com/opengeos/datasets/releases/download/raster/dem_90m.tif"
+# )
+# src = rasterio.open(raster_path)
 
-print(src.name)
+# print(src.name)
 
-# rasterio.plot.show((src, 1))
-rasterio.plot.show(src)
+# # rasterio.plot.show((src, 1))
+# rasterio.plot.show(src)
 
-fig, ax = plt.subplots(figsize=(8, 8))
-rasterio.plot.show(src, cmap="terrain", ax=ax, title="Digital Elevation Model (DEM)")
-plt.show()
+# fig, ax = plt.subplots(figsize=(8, 8))
+# rasterio.plot.show(src, cmap="terrain", ax=ax, title="Digital Elevation Model (DEM)")
+# plt.show()
+
+from pystac_client import Client
+from odc.stac import load
+import odc.geo
+
+# use publically available stac link such as
+client = Client.open("https://earth-search.aws.element84.com/v1") 
+
+# ID of the collection
+collection = "sentinel-2-l2a"
+
+# Geometry of AOI
+geometry = {
+    "coordinates": [
+        [
+            [74.66218437999487, 19.46556170905807],
+            [74.6629598736763, 19.466339343697722],
+            [74.6640371158719, 19.4667885366414],
+            [74.66395296156406, 19.46614872872264],
+            [74.66376889497042, 19.466150941501425],
+            [74.66369077563286, 19.46577508478787],
+            [74.6635865047574, 19.465278788212864],
+            [74.66282073408365, 19.46540270444271],
+            [74.66218437999487, 19.46556170905807],
+        ]
+    ],
+    "type": "Polygon",
+}
+
+# Complete month
+date_YYMM = "2023-01"
+# run pystac client search to see available dataset
+search = client.search(
+    collections=[collection], intersects=geometry, datetime=date_YYMM
+) 
+# spit out data as GeoJSON dictionary
+print(search.item_collection_as_dict())
+# loop through each item
+for item in search.items_as_dicts():
+    print(item)