diff --git a/config.toml b/config.toml
index ad9e25d..bf631af 100644
--- a/config.toml
+++ b/config.toml
@@ -15,6 +15,10 @@ arcticdem-elevation-vrt = "data/input/ArcticDEM/elevation.vrt"
 arcticdem-dir = "data/download/arcticdem"
 cache-dir = "data/download"
 
+[darts.preprocess]
+tpi-outer-radius = 30
+tpi-inner-radius = 25
+
 [darts.segmentation]
 patch-size = 1024
 overlap = 256
diff --git a/darts-acquisition/src/darts_acquisition/arcticdem/datacube.py b/darts-acquisition/src/darts_acquisition/arcticdem/datacube.py
index 2e9d0ef..44a07a2 100644
--- a/darts-acquisition/src/darts_acquisition/arcticdem/datacube.py
+++ b/darts-acquisition/src/darts_acquisition/arcticdem/datacube.py
@@ -8,10 +8,10 @@
 from typing import Literal
 
 import geopandas as gpd
+import odc.geo
 import odc.geo.xr
 import pystac
 import requests
-import shapely
 import xarray as xr
 import zarr
 import zarr.storage
@@ -293,21 +293,21 @@ def procedural_download_datacube(storage: zarr.storage.Store, scenes: gpd.GeoDat
 
 
 def load_arcticdem_tile(
-    reference_dataset: xr.Dataset,
+    geobox: GeoBox,
     data_dir: Path,
     resolution: RESOLUTIONS,
     chunk_size: int = 6000,
-    buffer: int = 256,
+    buffer: int = 0,
 ) -> xr.Dataset:
-    """Get the corresponding ArcticDEM tile for the given reference dataset.
+    """Get the corresponding ArcticDEM tile for the given geobox.
 
     Args:
-        reference_dataset (xr.Dataset): The reference dataset.
+        geobox (GeoBox): The geobox for which the tile should be loaded.
         data_dir (Path): The directory where the ArcticDEM data is stored.
         resolution (Literal[2, 10, 32]): The resolution of the ArcticDEM data in m.
         chunk_size (int, optional): The chunk size for the datacube. Only relevant for the initial creation.
             Has no effect otherwise. Defaults to 6000.
-        buffer (int, optional): The buffer around the reference dataset in pixels. Defaults to 256.
+        buffer (int, optional): The buffer around the geobox in pixels. Defaults to 0.
 
     Returns:
         xr.Dataset: The ArcticDEM tile, with a buffer applied.
@@ -316,7 +316,7 @@ def load_arcticdem_tile(
 
     Warning:
         1. This function is not thread-safe. Thread-safety might be added in the future.
-        2. Reference dataset must be in a meter based CRS.
+        2. Geobox must be in a meter based CRS.
 
     """
     # TODO: What is a good chunk size?
@@ -330,9 +330,8 @@ def load_arcticdem_tile(
     storage = zarr.storage.FSStore(datacube_fpath)
     logger.debug(f"Getting ArcticDEM tile from {datacube_fpath.resolve()}")
 
-    # ! The reference dataset must be in a meter based CRS
-    reference_resolution = abs(int(reference_dataset.x[1] - reference_dataset.x[0]))
-    logger.debug(f"Found a reference resolution of {reference_resolution}m")
+    # ! The geobox must be in a meter based CRS
+    logger.debug(f"Found a reference resolution of {geobox.resolution.x}m")
 
     # Check if the zarr data already exists
     if not datacube_fpath.exists():
@@ -348,12 +347,9 @@ def load_arcticdem_tile(
         download_arcticdem_extent(data_dir)
     extent = gpd.read_parquet(extent_fpath)
 
-    # Add a buffer around the reference dataset to get the adjacent scenes
-    buffer_m = buffer * reference_resolution  # nbuffer pixels * the resolution of the reference dataset
-    reference_bbox = shapely.geometry.box(*reference_dataset.rio.transform_bounds("epsg:3413")).buffer(
-        buffer_m, join_style="mitre"
-    )
-    adjacent_scenes = extent[extent.intersects(reference_bbox)]
+    # Add a buffer around the geobox to get the adjacent scenes
+    reference_bbox = geobox.to_crs("epsg:3413", resolution=resolution).pad(buffer)
+    adjacent_scenes = extent[extent.intersects(reference_bbox.extent.geom)]
 
     # Download the adjacent scenes (if necessary)
     procedural_download_datacube(storage, adjacent_scenes)
@@ -361,15 +357,8 @@ def load_arcticdem_tile(
     # Load the datacube and set the spatial_ref since it is set as a coordinate within the zarr format
     arcticdem_datacube = xr.open_zarr(storage, mask_and_scale=False).set_coords("spatial_ref")
 
-    # Get an AOI slice of the datacube, since rio.reproject_match would load the whole datacube
-    # Note: The bounds are not equal to the bbox orientation, because of the change of the CRS
-    xmin, ymin, xmax, ymax = reference_bbox.bounds
-    aoi_slice = {
-        "x": slice(xmin, xmax),
-        "y": slice(ymax, ymin),
-    }
-    logger.debug(f"AOI slice: {aoi_slice}")
-    arcticdem_aoi = arcticdem_datacube.sel(aoi_slice)
+    # Get an AOI slice of the datacube
+    arcticdem_aoi = arcticdem_datacube.odc.crop(reference_bbox.extent)
 
     # Change dtype of the datamask to uint8 for later reproject_match
     arcticdem_aoi["datamask"] = arcticdem_aoi.datamask.astype("uint8")
diff --git a/darts-acquisition/src/darts_acquisition/s2.py b/darts-acquisition/src/darts_acquisition/s2.py
index c2266d4..3f6a820 100644
--- a/darts-acquisition/src/darts_acquisition/s2.py
+++ b/darts-acquisition/src/darts_acquisition/s2.py
@@ -4,10 +4,10 @@
 import time
 from pathlib import Path
 
-import rasterio
-import rasterio.enums
+import odc.geo.xr  # noqa: F401
 import rioxarray  # noqa: F401
 import xarray as xr
+from odc.geo.geobox import GeoBox
 
 logger = logging.getLogger(__name__.replace("darts_", "darts."))
 
@@ -61,12 +61,12 @@ def load_s2_scene(fpath: str | Path) -> xr.Dataset:
     return ds_s2
 
 
-def load_s2_masks(fpath: str | Path, reference_dataset: xr.Dataset) -> xr.Dataset:
+def load_s2_masks(fpath: str | Path, reference_geobox: GeoBox) -> xr.Dataset:
     """Load the valid and quality data masks from a Sentinel 2 scene.
 
     Args:
         fpath (str | Path): The path to the directory containing the TIFF files.
-        reference_dataset (xr.Dataset): The reference dataset to reproject, resampled and cropped the masks data to.
+        reference_geobox (GeoBox): The reference geobox to reproject, resample and crop the masks data to.
 
     Raises:
         FileNotFoundError: If no matching TIFF file is found in the specified path.
@@ -91,7 +91,7 @@ def load_s2_masks(fpath: str | Path, reference_dataset: xr.Dataset) -> xr.Datase
     # See scene classes here: https://custom-scripts.sentinel-hub.com/custom-scripts/sentinel-2/scene-classification/
     da_scl = xr.open_dataarray(scl_path)
 
-    da_scl = da_scl.rio.reproject_match(reference_dataset, sampling=rasterio.enums.Resampling.nearest)
+    da_scl = da_scl.odc.reproject(reference_geobox, sampling="nearest")
 
     # valid data mask: valid data = 1, no data = 0
     valid_data_mask = (
diff --git a/darts/src/darts/native.py b/darts/src/darts/native.py
index 1d86651..f5b4ee3 100644
--- a/darts/src/darts/native.py
+++ b/darts/src/darts/native.py
@@ -246,7 +246,7 @@ def run_native_planet_pipeline_fast(
     # Find all PlanetScope orthotiles
     for fpath, outpath in planet_file_generator(orthotiles_dir, scenes_dir, output_data_dir):
         optical = load_planet_scene(fpath)
-        arcticdem = load_arcticdem_tile(optical, arcticdem_dir, resolution=2, buffer=tpi_outer_radius)
+        arcticdem = load_arcticdem_tile(optical.odc.geobox, arcticdem_dir, resolution=2, buffer=tpi_outer_radius)
         tcvis = load_tcvis(optical, cache_dir)
         data_masks = load_planet_masks(fpath)
 
@@ -356,7 +356,7 @@ def run_native_sentinel2_pipeline(
         optical = load_s2_scene(fpath)
         arcticdem = load_arcticdem_from_vrt(arcticdem_slope_vrt, arcticdem_elevation_vrt, optical)
         tcvis = load_tcvis(optical, cache_dir)
-        data_masks = load_s2_masks(fpath, optical)
+        data_masks = load_s2_masks(fpath, optical.odc.geobox)
 
         tile = preprocess_legacy(optical, arcticdem, tcvis, data_masks)