diff --git a/geoarray/baseclasses.py b/geoarray/baseclasses.py
index 01030fd4faca32ba69b14ce95eb9f29f4b0112e0..b212f16ce1225fb3c8ee4ee9220ce39d41f80c54 100644
--- a/geoarray/baseclasses.py
+++ b/geoarray/baseclasses.py
@@ -1487,11 +1487,7 @@ class GeoArray(object):
         # apply zslice to bandnames and metadata
         if zslicing:
             bNs_out = list(np.array(list(self.bandnames))[zslice])
-
-            _meta_out = deepcopy(self.meta)
-            if self._metadata:
-                for k, v in _meta_out.band_meta.items():
-                    _meta_out.band_meta[k] = list(np.array(v)[zslice])
+            _meta_out = self.metadata.get_band_subset(bandslice=zslice)
         else:
             bNs_out = list(self.bandnames)
             _meta_out = self.meta
diff --git a/geoarray/metadata.py b/geoarray/metadata.py
index 9a44e0341f25ea0251c81b415d03d76ce64efe0d..a79a71f422c2d88b546ec4d6b8d72496f644a5c7 100644
--- a/geoarray/metadata.py
+++ b/geoarray/metadata.py
@@ -2,8 +2,10 @@
 
 import os
 from pprint import pformat
+from copy import deepcopy
 
 from geopandas import GeoDataFrame, GeoSeries
+import numpy as np
 try:
     from osgeo import gdal
 except ImportError:
@@ -31,7 +33,7 @@ class GDAL_Metadata(object):
 
         self.bands = nbands
         self.filePath = filePath
-        self.format = ''
+        self.fileFormat = ''
 
         if filePath:
             self.read_from_file(filePath)
@@ -140,13 +142,13 @@ class GDAL_Metadata(object):
                 raise Exception('Error reading file:  ' + gdal.GetLastErrorMsg())
 
             self.bands = ds.RasterCount
-            self.format = ds.GetDriver().GetDescription()
+            self.fileFormat = ds.GetDriver().GetDescription()
 
             ###############
             # ENVI format #
             ###############
 
-            if self.format == 'ENVI':
+            if self.fileFormat == 'ENVI':
                 metadict = ds.GetMetadata('ENVI')
 
                 for k, v in metadict.items():
@@ -201,3 +203,14 @@ class GDAL_Metadata(object):
     def to_ENVI_metadict(self):
         return dict(zip(self.all_meta.keys(),
                         [self._convert_param_to_ENVI_str(i) for i in self.all_meta.values()]))
+
+    def get_band_subset(self, bandslice=None):
+        bandslice = bandslice or slice(None)
+        meta_sub = deepcopy(self)
+
+        for k, v in meta_sub.band_meta.items():
+            meta_sub.band_meta[k] = list(np.array(v)[bandslice])
+
+        meta_sub.bands = len(list(range(*bandslice.indices(bandslice.stop))))
+
+        return meta_sub