Rename the stacking to burn_mapping

configs/stacking_processings/ga_ls8c_nbart_stacking_cyear_3.yaml → configs/burn_mapping_processings/ga_ls8c_nbart_stacking_cyear_3.yaml

@@ -16,18 +16,18 @@ input_products:
     - nbart_swir_2
 
 product:
-  name: ga_ls8c_nbart_stacking_cyear_3
-  short_name: ga_ls8c_nbart_stacking_cyear_3
+  name: ga_ls8c_nbart_burn_mapping_cyear_3
+  short_name: ga_ls8c_nbart_burn_mapping_cyear_3
   version: 3.0.0
-  product_family: stacking
+  product_family: burn_mapping
   bands:
     - any
     - all
     - majority
     - rf
     - bc
     - rbr
-    - severity
+    - uncertainty
   inherit_skip_properties:
     - eo:cloud_cover
     - fmask:clear
@@ -70,7 +70,7 @@ product:
         band: any
       mapped_bands: true
     mpl_ramp: Oranges
-    name: ga_ls8c_nbart_stacking_cyear_3
+    name: ga_ls8c_nbart_burn_mapping_cyear_3
     needed_bands:
     - any
     range:

configs/stacking_products/ga_ls8c_nbart_stacking_cyear_3.odc-product.yaml → configs/burn_mapping_products/ga_ls8c_nbart_stacking_cyear_3.odc-product.yaml

@@ -1,5 +1,5 @@
-name: ga_ls8c_nbart_stacking_cyear_3
-description: Geoscience Australia Landsat Nadir BRDF Adjusted Reflectance Terrain, Landsat 8 Stacking 4 Calendar Years Collection 3
+name: ga_ls8c_nbart_burn_mapping_cyear_3
+description: Geoscience Australia Landsat Nadir BRDF Adjusted Reflectance Terrain, Landsat 8 Burn Mapping 4 Calendar Years Collection 3
 license: CC-BY-4.0
 metadata_type: eo3
 
@@ -8,7 +8,7 @@ metadata:
     odc:file_format: GeoTIFF
     odc:product_family: burncube
   product:
-    name: ga_ls8c_nbart_stacking_cyear_3
+    name: ga_ls8c_nbart_burn_mapping_cyear_3
 
 measurements:
   - name: any
@@ -35,7 +35,7 @@ measurements:
     dtype: float64
     nodata: -999
     units: '1'
-  - name: severity
+  - name: uncertainty
     dtype: float64
     nodata: -999
     units: '1'

dea_burn_cube/task.py

@@ -559,8 +559,8 @@ def upload_processing_log(self):
             "output": self.s3_file_uri,
             "task_table": self.task_table,
             "DEA Burn Cube": version,
-            #"summary_datasets": [e.metadata_doc["label"] for e in self.geomed_datasets]
-            #+ [e.metadata_doc["label"] for e in self.wofs_datasets],
+            # "summary_datasets": [e.metadata_doc["label"] for e in self.geomed_datasets]
+            # + [e.metadata_doc["label"] for e in self.wofs_datasets],
             "ard_datasets": [str(e.id) for e in self.ref_ard_datasets]
             + [str(e.id) for e in self.mapping_ard_datasets],
         }

nbic_project/DEA_Stacking_method.ipynb

@@ -75,7 +75,7 @@
     "def process_files(base_product_file, match_products):\n",
     "    \"\"\"\n",
     "    Process a base product file, search for corresponding files from the match_products,\n",
-    "    and perform weighted stacking, returning the combined result.\n",
+    "    and perform weighted burn_mapping, returning the combined result.\n",
     "    \"\"\"\n",
     "    # Extract pattern (e.g., x and y coordinates) from the base file\n",
     "    pattern = extract_info(base_product_file)\n",
@@ -153,7 +153,7 @@
     "        # Write the result to a COG file\n",
     "        write_cog(\n",
     "            geo_im=sum_summary,\n",
-    "            fname=\"dea_stacking_\" + pattern.replace(\"/\", \"\") + \"_2020.tif\",\n",
+    "            fname=\"dea_burn_mapping_\" + pattern.replace(\"/\", \"\") + \"_2020.tif\",\n",
     "            overwrite=True\n",
     "        )"
    ]

scripts/stacking_processing_script.py

@@ -162,16 +162,16 @@ def generate_binary_mask(combined_data, condition):
     "-p",
     type=str,
     required=True,
-    help="REQUIRED. URL to the Stacking process configuration file (YAML format).",
+    help="REQUIRED. URL to the burn_mapping process configuration file (YAML format).",
 )
 @click.option(
     "--overwrite/--no-overwrite",
     default=False,
     help="Whether to rerun scenes that have already been processed.",
 )
-def stacking_processing(task_id, region_id, process_cfg_url, overwrite):
+def burn_mapping_processing(task_id, region_id, process_cfg_url, overwrite):
     """
-    Load and process satellite imagery data to generate a stacking result saved as a GeoTIFF file.
+    Load and process satellite imagery data to generate a burn_mapping result saved as a GeoTIFF file.
 
     Parameters:
     - task_id (str): The unique identifier of the task.
@@ -203,26 +203,27 @@ def stacking_processing(task_id, region_id, process_cfg_url, overwrite):
     )
     raster_data = raster_result["raster_data"]
 
-    severity = (
+    uncertainty = (
         raster_result["combined_data"].sum(dim="variable")
         / raster_result["combined_data"].sizes["variable"]
     )
 
-    fname = "severity.tif"
+    fname = "uncertainty.tif"
 
     # Write the result to a Cloud Optimized GeoTIFF (COG) file
-    write_cog(geo_im=severity, fname=fname, overwrite=overwrite, nodata=-999)
+    write_cog(geo_im=uncertainty, fname=fname, overwrite=overwrite, nodata=-999)
 
     # Activate AWS credentials from the service account attached
     helper.get_and_set_aws_credentials()
 
     # Construct the S3 file URI for the output file
-    s3_file_uri = f"s3://{processing_task.s3_bucket_name}/{processing_task.s3_object_key}_{fname}"
+    s3_file_uri = (
+        f"s3://{processing_task.s3_bucket_name}/{processing_task.s3_object_key}_{fname}"
+    )
     # Upload the output GeoTIFF to the specified S3 location
     bc_io.upload_object_to_s3(fname, s3_file_uri)
     logger.info(f"Uploaded to S3: {s3_file_uri}")
 
-
     for match_product_short_name, data_info in raster_data.items():
         # Extract the raster data (assuming it's stored under the "data" key in the dictionary)
         geo_im = data_info["data"]
@@ -269,4 +270,4 @@ def stacking_processing(task_id, region_id, process_cfg_url, overwrite):
 
 
 if __name__ == "__main__":
-    stacking_processing()
+    burn_mapping_processing()