ramona: change datatype and cog internal tile size

Author: jdries

algorithm_catalog/dhi/RAMONA_HRB_Country_mosaick/openeo_udp/RAMONA_HRB_Country_mosaick.json

@@ -71,16 +71,42 @@
         }
       }
     },
+    "apply1": {
+      "process_id": "apply",
+      "arguments": {
+        "data": {
+          "from_node": "filterspatial1"
+        },
+        "process": {
+          "process_graph": {
+            "linearscalerange1": {
+              "process_id": "linear_scale_range",
+              "arguments": {
+                "inputMax": 31000,
+                "inputMin": -10,
+                "outputMax": 31000,
+                "outputMin": -10,
+                "x": {
+                  "from_parameter": "x"
+                }
+              },
+              "result": true
+            }
+          }
+        }
+      }
+    },
     "saveresult1": {
       "process_id": "save_result",
       "arguments": {
         "data": {
-          "from_node": "filterspatial1"
+          "from_node": "apply1"
         },
         "format": "GTiff",
         "options": {
           "filename_prefix": "ramona_hrb_",
-          "overviews": "AUTO"
+          "overviews": "AUTO",
+          "tile_size": 512
         }
       },
       "result": true

algorithm_catalog/dhi/RAMONA_HRB_Country_mosaick/openeo_udp/generate.py

@@ -87,13 +87,14 @@ def generate():
 
     format_opts = {
         "filename_prefix": "ramona_hrb_",
-        "overviews": "AUTO"
+        "overviews": "AUTO",
+        "tile_size": 512
     }
 
     cube = (connection.load_stac("https://stac.openeo.vito.be/collections/RAMONA_HERBACEOUS_BIOMASS",
                                         temporal_extent=[date_param, date_shift(date_param, 1, "day")])
                    .filter_spatial(connection.load_url(text_concat(["https://raw.githubusercontent.com/georgique/world-geojson/refs/heads/develop/countries/", country_name, ".json"]),
-        format="GeoJSON")).save_result(format="GTiff", options= format_opts ))
+        format="GeoJSON")).linear_scale_range(-10,31000,-10,31000).save_result(format="GTiff", options= format_opts ))
 
     udp = build_process_dict(process_graph=cube, process_id="RAMONA_HRB_Country_mosaick",
                                       description=(Path(__file__).parent / "README.md").read_text(),