README.md

 # Raster-to-STAC  
-This package allows the creation of STAC Collection with Items and Assets starting from different kind of raster datasets.
+This component allows the creation of STAC Collection with Items and Assets starting from different kinds of raster datasets. It also allows the user to automatically upload the resulting files to an Amazon S3 Bucket, to make them publicly accessible and reachable worldwide. The goal is to make a dataset easily accessible, interoperable, and shareable.
+
 Depending on the requirements, two approaches can be taken:
 
 1. Via COGs
@@ -69,4 +70,4 @@ print(ds_stac)
 
 ## License
 
-This project is distributed with MIT license - see 'LICENSE' for details.
\ No newline at end of file
+This project is distributed with MIT license - see 'LICENSE' for details.

raster2stac/raster2stac.py

@@ -44,6 +44,8 @@ from urllib.parse import urlparse, urlunparse
 _log = logging.getLogger(__name__)
 
 
+DATACUBE_EXT_VERSION = "v1.0.0"
+
 class Raster2STAC():
     """
     Raster2STAC Class - Converte dati raster nel formato STAC.
@@ -168,22 +170,23 @@ class Raster2STAC():
             f"https://stac-extensions.github.io/projection/{PROJECTION_EXT_VERSION}/schema.json", 
             f"https://stac-extensions.github.io/raster/{RASTER_EXT_VERSION}/schema.json",
             f"https://stac-extensions.github.io/eo/{EO_EXT_VERSION}/schema.json",
+            # f"https://stac-extensions.github.io/datacube/{DATACUBE_EXT_VERSION}/schema.json",
         ]
         self.set_media_type(pystac.MediaType.COG)  # we could also use rio_stac.stac.get_media_type)
-        
+
         if output_folder is not None:
             self.output_folder = output_folder
         else:
-            self.output_folder = datetime.datetime.utcnow().strftime('%Y%m%d%H%M%S%f')[:-3]   
+            self.output_folder = datetime.datetime.utcnow().strftime('%Y%m%d%H%M%S%f')[:-3]
 
         if output_file is not None:
             if not output_file.endswith(".json"):
                 output_file += ".json"
-            
+
             self.output_file = output_file
         else:
             self.output_file = f"{self.collection_id}.json"
-        
+
         if not os.path.exists(self.output_folder):
             os.mkdir(self.output_folder)
 
@@ -194,12 +197,12 @@ class Raster2STAC():
         self.aws_region = aws_region
         self.s3_upload = s3_upload
         self.s3_client = None
-        self.version = version 
+        self.version = version
         self.title = title
 
         if self.s3_upload:
             # Initializing an S3 client
-            self.s3_client = boto3.client('s3', aws_access_key_id=aws_access_key, aws_secret_access_key=aws_secret_key) #region_name=aws_region, 
+            self.s3_client = boto3.client('s3', aws_access_key_id=aws_access_key, aws_secret_access_key=aws_secret_key) #region_name=aws_region,
 
         self.output_format = output_format
         self.license = license
@@ -298,7 +301,7 @@ class Raster2STAC():
                 # Write the result to the GeoTIFF file
                 self.data.loc[{self.T_DIM:t,self.B_DIM:band}].to_dataset(name=band).rio.to_raster(raster_path=path, driver='COG')
 
-                link_path = path 
+                link_path = path
 
                 if self.s3_upload:                                     
                     #Uploading file to s3                   
@@ -484,6 +487,7 @@ class Raster2STAC():
         
         if self.sci_citation is not None or self.sci_doi is not None:
             self.extensions.append("https://stac-extensions.github.io/scientific/v1.0.0/schema.json")
+    
 
         extra_fields["summaries"] = eo_info