diff --git a/presto/inference.py b/presto/inference.py
index be67137..29e42fd 100644
--- a/presto/inference.py
+++ b/presto/inference.py
@@ -46,25 +46,6 @@ def __init__(self, model: Presto, batch_size: int = 8192):
 
     _NODATAVALUE = 65535
 
-    BAND_MAPPING = {
-        "B02": "B2",
-        "B03": "B3",
-        "B04": "B4",
-        "B05": "B5",
-        "B06": "B6",
-        "B07": "B7",
-        "B08": "B8",
-        "B8A": "B8A",
-        "B11": "B11",
-        "B12": "B12",
-        "VH": "VH",
-        "VV": "VV",
-        "precipitation-flux": "total_precipitation",
-        "temperature-mean": "temperature_2m",
-    }
-
-    STATIC_BAND_MAPPING = {"DEM-alt-20m": "elevation", "DEM-slo-20m": "slope"}
-
     @classmethod
     def _preprocess_band_values(cls, values: np.ndarray, presto_band: str) -> np.ndarray:
         """
@@ -105,30 +86,22 @@ def _extract_eo_data(cls, inarr: xr.DataArray) -> Tuple[np.ndarray, np.ndarray]:
         eo_data = np.zeros((num_pixels, num_timesteps, len(BANDS)))
         mask = np.zeros((num_pixels, num_timesteps, len(BANDS_GROUPS_IDX)))
 
-        for org_band, presto_band in cls.BAND_MAPPING.items():
-            if org_band in inarr.coords["bands"]:
+        for presto_band in NORMED_BANDS:
+            if presto_band in inarr.coords["bands"]:
                 values = np.swapaxes(
-                    inarr.sel(bands=org_band).values.reshape((num_timesteps, -1)), 0, 1
+                    inarr.sel(bands=presto_band).values.reshape((num_timesteps, -1)),
+                    0,
+                    1,
                 )
                 idx_valid = values != cls._NODATAVALUE
                 values = cls._preprocess_band_values(values, presto_band)
                 eo_data[:, :, BANDS.index(presto_band)] = values * idx_valid
                 mask[:, :, IDX_TO_BAND_GROUPS[presto_band]] += ~idx_valid
+            elif presto_band == "NDVI":
+                # Band NDVI will be computed by Presto
+                continue
             else:
-                logger.warning(f"Band {org_band} not found in input data.")
-                eo_data[:, :, BANDS.index(presto_band)] = 0
-                mask[:, :, IDX_TO_BAND_GROUPS[presto_band]] = 1
-
-        for org_band, presto_band in cls.STATIC_BAND_MAPPING.items():
-            if org_band in inarr.coords["bands"]:
-                values = np.swapaxes(
-                    inarr.sel(bands=org_band).values.reshape((num_timesteps, -1)), 0, 1
-                )
-                idx_valid = values != cls._NODATAVALUE
-                eo_data[:, :, BANDS.index(presto_band)] = values * idx_valid
-                mask[:, IDX_TO_BAND_GROUPS[presto_band]] += ~idx_valid
-            else:
-                logger.warning(f"Band {org_band} not found in input data.")
+                logger.warning(f"Band {presto_band} not found in input data.")
                 eo_data[:, :, BANDS.index(presto_band)] = 0
                 mask[:, :, IDX_TO_BAND_GROUPS[presto_band]] = 1
 
diff --git a/setup.py b/setup.py
index 72f7c46..3fb37a3 100644
--- a/setup.py
+++ b/setup.py
@@ -32,7 +32,7 @@ def load_dependencies(tag: str) -> List[str]:
     long_description_content_type="text/markdown",
     author="Gabriel Tseng",
     author_email="gabrieltseng95@gmail.com",
-    version="0.1.2",
+    version="0.1.4",
     classifiers=[
         "Programming Language :: Python :: 3",
         "License :: Other/Proprietary License",