update app.py

app.py

@@ -206,7 +206,7 @@ def aggregate_data_daily(collection):
     return ee.ImageCollection(daily_images)
 
 # Worker function for processing a single geometry
-def process_single_geometry(row, start_date_str, end_date_str, dataset_id, selected_bands, reducer_choice, shape_type, aggregation_period, custom_formula, kernel_size=None, include_boundary=None, default_scale=30):
+def process_single_geometry(row, start_date_str, end_date_str, dataset_id, selected_bands, reducer_choice, shape_type, aggregation_period, custom_formula, kernel_size=None, include_boundary=None, default_scale=None):
     if shape_type.lower() == "point":
         latitude = row.get('latitude')
         longitude = row.get('longitude')
@@ -301,7 +301,11 @@ def process_single_geometry(row, start_date_str, end_date_str, dataset_id, selec
     return aggregated_results
 
 # Main processing function
-def process_aggregation(locations_df, start_date_str, end_date_str, dataset_id, selected_bands, reducer_choice, shape_type, aggregation_period, custom_formula="", kernel_size=None, include_boundary=None, default_scale=30):
+def process_aggregation(locations_df, start_date_str, end_date_str, dataset_id, selected_bands, reducer_choice, shape_type, aggregation_period, custom_formula="", kernel_size=None, include_boundary=None, default_scale=None):
+    # Auto-detect scale if not provided
+    if default_scale is None:
+        collection = ee.ImageCollection(dataset_id)
+        default_scale = collection.first().select(0).projection().nominalScale().getInfo()
     aggregated_results = []
     total_steps = len(locations_df)
     progress_bar = st.progress(0)