diff --git a/city_metrix/layers/open_street_map.py b/city_metrix/layers/open_street_map.py
index 45f0900..a4e5489 100644
--- a/city_metrix/layers/open_street_map.py
+++ b/city_metrix/layers/open_street_map.py
@@ -3,7 +3,7 @@
 import geopandas as gpd
 import pandas as pd
 
-from .layer import Layer
+from .layer import Layer, get_utm_zone_epsg
 
 
 class OpenStreetMapClass(Enum):
@@ -71,4 +71,7 @@ def get_data(self, bbox):
             keep_col.append('lanes')
         osm_feature = osm_feature.reset_index()[keep_col]
 
+        crs = get_utm_zone_epsg(bbox)
+        osm_feature = osm_feature.to_crs(crs)
+
         return osm_feature
diff --git a/city_metrix/layers/overture_buildings.py b/city_metrix/layers/overture_buildings.py
index f8b2e24..82b9d28 100644
--- a/city_metrix/layers/overture_buildings.py
+++ b/city_metrix/layers/overture_buildings.py
@@ -2,7 +2,7 @@
 import subprocess
 from io import StringIO
 
-from .layer import Layer
+from .layer import Layer, get_utm_zone_epsg
 
 
 class OvertureBuildings(Layer):
@@ -24,6 +24,8 @@ def get_data(self, bbox):
         if result.returncode == 0:
             geojson_data = result.stdout
             overture_buildings = gpd.read_file(StringIO(geojson_data))
+            crs = get_utm_zone_epsg(bbox)
+            overture_buildings = overture_buildings.to_crs(crs)
         else:
             print("Error occurred:", result.stderr)
 
diff --git a/city_metrix/layers/smart_surface_lulc.py b/city_metrix/layers/smart_surface_lulc.py
index ab1abee..e4759a6 100644
--- a/city_metrix/layers/smart_surface_lulc.py
+++ b/city_metrix/layers/smart_surface_lulc.py
@@ -60,17 +60,17 @@ def get_data_esa_reclass(esa_world_cover):
 
 
         # Open space
-        open_space_osm = OpenStreetMap(osm_class=OpenStreetMapClass.OPEN_SPACE_HEAT).get_data(bbox).to_crs(crs).reset_index()
+        open_space_osm = OpenStreetMap(osm_class=OpenStreetMapClass.OPEN_SPACE_HEAT).get_data(bbox).reset_index()
         open_space_osm['Value'] = 10
 
 
         # Water
-        water_osm = OpenStreetMap(osm_class=OpenStreetMapClass.WATER).get_data(bbox).to_crs(crs).reset_index()
+        water_osm = OpenStreetMap(osm_class=OpenStreetMapClass.WATER).get_data(bbox).reset_index()
         water_osm['Value'] = 20
 
 
         # Roads
-        roads_osm = OpenStreetMap(osm_class=OpenStreetMapClass.ROAD).get_data(bbox).to_crs(crs).reset_index()
+        roads_osm = OpenStreetMap(osm_class=OpenStreetMapClass.ROAD).get_data(bbox).reset_index()
         if len(roads_osm) > 0:
             roads_osm['lanes'] = pd.to_numeric(roads_osm['lanes'], errors='coerce')
             # Get the average number of lanes per highway class
@@ -130,7 +130,7 @@ def get_data_esa_reclass(esa_world_cover):
         )
 
         # get building features
-        buildings = OvertureBuildings().get_data(bbox).to_crs(crs)
+        buildings = OvertureBuildings().get_data(bbox)
         # extract ULU, ANBH, and Area_m
         buildings['ULU'] = exact_extract(ulu_lulc_1m, buildings, ["majority"], output='pandas')['majority']
         buildings['ANBH'] = exact_extract(anbh_1m, buildings, ["mean"], output='pandas')['mean']
@@ -181,7 +181,7 @@ def classify_building(building):
 
 
         # Parking
-        parking_osm = OpenStreetMap(osm_class=OpenStreetMapClass.PARKING).get_data(bbox).to_crs(crs).reset_index()
+        parking_osm = OpenStreetMap(osm_class=OpenStreetMapClass.PARKING).get_data(bbox).reset_index()
         parking_osm['Value'] = 50