diff --git a/pyproject.toml b/pyproject.toml
index aa2c2c7..12c1e47 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -51,7 +51,7 @@ dependencies = [
 	"python-dotenv>=0.5.1",
 	"rasterio",
 	"s3fs",
-	"seaborn",	
+	"seaborn",
 	"tqdm",
 	"xarray"
 ]
diff --git a/src/GOSTrocks/dataMisc.py b/src/GOSTrocks/dataMisc.py
index 353e672..9f99cfe 100644
--- a/src/GOSTrocks/dataMisc.py
+++ b/src/GOSTrocks/dataMisc.py
@@ -60,7 +60,9 @@ def aws_search_ntl(
     :type verbose: bool, optional
     """
     if unsigned:
-        s3client = boto3.client("s3", verify=False, config=Config(signature_version=UNSIGNED))
+        s3client = boto3.client(
+            "s3", verify=False, config=Config(signature_version=UNSIGNED)
+        )
     else:
         s3client = boto3.client("s3", verify=False)
 
@@ -151,16 +153,22 @@ def get_fathom_vrts(return_df=False):
         return vrt_pd
     return all_vrts
 
-def get_worldcover(df, download_folder, worldcover_vrt='WorldCover.vrt',
-                   version='v200',
-                   print_command=False, verbose=False):
-    """ Download ESA globcover from AWS (https://aws.amazon.com/marketplace/pp/prodview-7oorylcamixxc)
+
+def get_worldcover(
+    df,
+    download_folder,
+    worldcover_vrt="WorldCover.vrt",
+    version="v200",
+    print_command=False,
+    verbose=False,
+):
+    """Download ESA globcover from AWS (https://aws.amazon.com/marketplace/pp/prodview-7oorylcamixxc)
 
     Parameters
     ----------
     df : geopandas.GeoDataFrame
         Data frame used to select tiles to download; selects tiles based on the data frame unary_union
-    download_folder : string 
+    download_folder : string
         path to folder to download tiles
     worldcover_vrt : str, optional
         name of the VRT file to create, by default 'WorldCover.vrt'
@@ -172,23 +180,23 @@ def get_worldcover(df, download_folder, worldcover_vrt='WorldCover.vrt',
     verbose : bool, optional
         Print more updates during processing, by default False
     """
-    
-    bucket='esa-worldcover'
-    esa_file_geojson = 'esa_worldcover_grid.geojson'
-    s3 = boto3.client('s3', verify=False, config=Config(signature_version=UNSIGNED))
+
+    bucket = "esa-worldcover"
+    esa_file_geojson = "esa_worldcover_grid.geojson"
+    s3 = boto3.client("s3", verify=False, config=Config(signature_version=UNSIGNED))
     tiles_geojson = os.path.join(download_folder, esa_file_geojson)
 
     if not os.path.exists(tiles_geojson):
         s3.download_file(bucket, esa_file_geojson, tiles_geojson)
 
     tile_path = "{version}/2021/map/ESA_WorldCover_10m_2021_v200_{tile}_Map.tif"
-    
+
     in_tiles = gpd.read_file(tiles_geojson)
     sel_tiles = in_tiles.loc[in_tiles.intersects(df.unary_union)]
 
     all_tiles = []
     for idx, row in sel_tiles.iterrows():
-        cur_tile_path = tile_path.format(tile=row['ll_tile'], version=version)
+        cur_tile_path = tile_path.format(tile=row["ll_tile"], version=version)
         cur_out = os.path.join(download_folder, f"WorldCover_{row['ll_tile']}.tif")
         all_tiles.append(cur_out)
         if not os.path.exists(cur_out):
@@ -199,12 +207,11 @@ def get_worldcover(df, download_folder, worldcover_vrt='WorldCover.vrt',
                 if not os.path.exists(cur_out):
                     if verbose:
                         print(f"Downloading {cur_tile_path} to {cur_out}")
-                    s3.download_file(bucket,cur_tile_path, cur_out)
+                    s3.download_file(bucket, cur_tile_path, cur_out)
                 else:
                     if verbose:
                         print(f"File {cur_out} already exists")
     out_vrt = os.path.join(download_folder, worldcover_vrt)
     gdal.BuildVRT(out_vrt, all_tiles, options=gdal.BuildVRTOptions())
-    
-    return(all_tiles)
 
+    return all_tiles
diff --git a/src/GOSTrocks/infra/aggregator.py b/src/GOSTrocks/infra/aggregator.py
index 9f580d6..ac65cac 100644
--- a/src/GOSTrocks/infra/aggregator.py
+++ b/src/GOSTrocks/infra/aggregator.py
@@ -1,6 +1,7 @@
 """
 The following module contains a number of functions to aggregate geospatial outputs into tables for InfraSAP analytics.
 """
+
 import geopandas as gpd
 import pandas as pd
 import rasterio as rio
diff --git a/src/GOSTrocks/rasterMisc.py b/src/GOSTrocks/rasterMisc.py
index f24c91f..66c98a7 100644
--- a/src/GOSTrocks/rasterMisc.py
+++ b/src/GOSTrocks/rasterMisc.py
@@ -126,7 +126,7 @@ def project_raster(srcRst, dstCrs, output_raster=""):
         dstCrs (int): crs to project to
         output_raster (string): file to write to, defaults to '', which writes nothing
 
-    """    
+    """
     if dstCrs.__class__ == int:
         dstCrs = CRS.from_epsg(dstCrs)