diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml
index fa957a9..53ce4f6 100644
--- a/.github/workflows/ci.yml
+++ b/.github/workflows/ci.yml
@@ -8,8 +8,6 @@ on:
       - "requirements.txt"
       - "requirements.dev.txt"
   pull_request:
-    branches:
-      - main
 
 jobs:
   ci:
@@ -24,49 +22,6 @@ jobs:
         with:
           python-version: 3.11.1
 
-      - name: Install PDAL
-        run: |
-          sudo apt-get update
-          sudo apt-get install -y \
-          g++ \
-          cmake \
-          git \
-          libgdal-dev \
-          libgeotiff-dev \
-          liblaszip-dev \
-          libboost-all-dev \
-          libboost-program-options-dev \
-          libboost-filesystem-dev \
-          libboost-system-dev \
-          libsqlite3-dev \
-          sqlite3 \
-          libproj-dev \
-          libcurl4-openssl-dev \
-          libjsoncpp-dev \
-          libxml2-dev \
-          libflann-dev \
-          libpcl-dev \
-          libeigen3-dev \
-          libnitro-dev \
-          libqhull-dev \
-          libtbb-dev
-      - name: Clone PDAL
-        run: |
-          git clone https://github.com/PDAL/PDAL.git
-          cd PDAL
-          git checkout 2.5-maintenance
-          mkdir build
-          cd build
-          cmake ..
-          make
-          sudo make install
-          sudo ldconfig
-          pdal --version
-      - name: Check pdal
-        run: |
-          echo "PDAL version -------------"
-          pdal --version
-
       - name: Cache pip packages
         uses: actions/cache@v2
         with:
@@ -84,36 +39,27 @@ jobs:
       - name: Install dependencies
         run: |
           poetry install
-      # - name: Install dependencies excluding PDAL
-      #   run: |
-      #     poetry add pdal --optional
-      #     poetry install --no-root
-
-      # - name: Install PDAL Python package
-      #   run: |
-      #     source .venv/bin/activate
-      #     pip install pdal==3.2.3
 
       - name: Linting
         run: |
-          poetry run pylint ./ahn_cli/**/*.py
+          make lint
 
       - name: Type checking
         run: |
-          poetry run mypy ./ahn_cli/**/*.py
+          make type
 
       - name: Testing
-        run: poetry run pytest ./ahn_cli/**/*.py --cov=./ahn_cli
+        run: make test
 
-      - name: Export requirements
-        run: |
-          poetry export --dev --format requirements.txt --output requirements.txt
-          poetry export --dev --format requirements.txt --output requirements.dev.txt
+      # - name: Export requirements
+      #   run: |
+      #     poetry export --dev --format requirements.txt --output requirements.txt
+      #     poetry export --dev --format requirements.txt --output requirements.dev.txt
 
-      - name: Commit exported requirements
-        run: |
-          git config --global user.name "${{ secrets.GH_USER_NAME }}"
-          git config --global user.email "${{ secrets.GH_USER_EMAIL }}"
-          git add requirements.txt requirements.dev.txt
-          git commit -m "Update requirements"
-          git push origin main
+      # - name: Commit exported requirements
+      #   run: |
+      #     git config --global user.name "${{ secrets.GH_USER_NAME }}"
+      #     git config --global user.email "${{ secrets.GH_USER_EMAIL }}"
+      #     git add requirements.txt requirements.dev.txt
+      #     git commit -m "Update requirements"
+      #     git push origin main
diff --git a/.gitignore b/.gitignore
index 2c80b4f..3de9fa5 100644
--- a/.gitignore
+++ b/.gitignore
@@ -164,3 +164,5 @@ cython_debug/
 *.qmd
 /testdata
 /out
+.polyscope.ini
+imgui.ini
diff --git a/CHANGELOG.md b/CHANGELOG.md
new file mode 100644
index 0000000..c833f4a
--- /dev/null
+++ b/CHANGELOG.md
@@ -0,0 +1,11 @@
+# Changelog
+## [0.1.6] - 2024-02-23
+### Changed
+
+### Added
+This is the first release of AHN CLI. There are a couple of features which helps users to easily download AHN point cloud data they need.
+* Validation of user input
+* Multi-thread download to speed up downloading time
+* Rasterization of city polygon to reduce time complexity
+* Filter points out by parameters such as classification classes, decimate, bounding box, etc
+* Preview of downloaded data
\ No newline at end of file
diff --git a/README.md b/README.md
index d5f5e61..87fedd0 100644
--- a/README.md
+++ b/README.md
@@ -36,7 +36,8 @@ Options:
  -ncc, --no-clip-city          Avoid clipping the point cloud data to the city boundary.
  -cf, --clip-file <file>       Provide a file path for a clipping boundary file to clip
                                the point cloud data to a specified area.
- -r, --radius <radius>         Define a radius (in meters) to clip the point cloud data,
+ -e, --epsg <epsg>             Set the EPSG code for user's clip file.
+ -b, --bbox <bbox>             Specify a bounding box to clip the point cloud data. It should be comma-separated list with minx,miny,maxx,maxy
                                centered on the city polygon.
  -p, --preview                 Preview the point cloud data in a 3D viewer.
  -h, --help [category]         Show help information. Optionally specify a category for
@@ -70,9 +71,13 @@ ahn_cli -c delft -o ./delft.laz -i 1,2 -ncc
 ahn_cli -c delft -o ./delft.laz -i 1,2 -d 2
 ```
 
-**Specify a Radius for Clipping:**
+**Specify a Bounding box for clipping:**
+
+If you specify a `b`, it will clip the point cloud data with specified bounding box.
+```
+ahn_cli -c delft -o ./delft.laz -i 1,2 -d 2 -b 194198.302994,443461.343994,194594.109009,443694.838989
+```
 
-If you specify a `radius` (in meters), it will clip the point cloud data from the center of the city polygon to the specified radius.
 
 ## Reporting Issues
 
diff --git a/ahn_cli/fetcher/request.py b/ahn_cli/fetcher/request.py
index 53d90e4..ca3389c 100644
--- a/ahn_cli/fetcher/request.py
+++ b/ahn_cli/fetcher/request.py
@@ -7,6 +7,7 @@
 from urllib.parse import urlparse
 
 import requests
+from tqdm import tqdm
 
 from ahn_cli.fetcher.geotiles import ahn_subunit_indicies_of_city
 
@@ -23,23 +24,29 @@ def fetch(self) -> dict:
         logging.info("Start fetching AHN data")
         logging.info(f"Fetching {len(self.urls)} tiles")
 
-        def req(url: str, nth: int, results: dict, lock: Lock) -> None:
-            logging.info(f"Fetching tile {nth + 1}/{len(self.urls)}")
-            print(f"Fetching tile {nth + 1}/{len(self.urls)}")
+        def req(
+            url: str, nth: int, results: dict, lock: Lock, pbar: tqdm
+        ) -> None:
             res = requests.get(url, stream=True)
             with tempfile.NamedTemporaryFile(
                 delete=False, mode="w+b", suffix=".laz"
             ) as temp_file:
-                for chunk in res.iter_content(chunk_size=1024 * 1024):
+                for chunk in tqdm(
+                    res.iter_content(chunk_size=1024 * 1024),
+                    desc="writing a file",
+                ):
                     temp_file.write(chunk)
                 with lock:
                     results[url] = temp_file.name
+            pbar.update(1)
 
         results: dict = {}
         lock = threading.Lock()
-        with ThreadPoolExecutor(max_workers=8) as executor:
-            for i, url in enumerate(self.urls):
-                executor.submit(req, url, i, results, lock)
+        with tqdm(total=len(self.urls)) as pbar:
+            pbar.set_description("Fetching AHN data")
+            with ThreadPoolExecutor(max_workers=8) as executor:
+                for i, url in enumerate(self.urls):
+                    executor.submit(req, url, i, results, lock, pbar)
         return results
 
     def _check_valid_url(self, url: str) -> bool:
diff --git a/ahn_cli/kwargs.py b/ahn_cli/kwargs.py
index 568fd77..6d2abba 100644
--- a/ahn_cli/kwargs.py
+++ b/ahn_cli/kwargs.py
@@ -8,6 +8,7 @@ class CLIArgs(TypedDict):
     exclude_class: str | None
     no_clip_city: bool
     clip_file: str | None
+    epsg: int | None
     decimate: int | None
-    radius: int | None
+    bbox: list[float] | None
     preview: bool
diff --git a/ahn_cli/main.py b/ahn_cli/main.py
index 117f823..b9506fb 100644
--- a/ahn_cli/main.py
+++ b/ahn_cli/main.py
@@ -19,8 +19,8 @@
  -ncc --no-clip-city           Do not clip the point cloud data to the city boundary.
  -cf, --clip-file <file>       Specify a file path to a clipping boundary file. The tool will
                                use this file to clip the point cloud data to a specific area.
+ -e, --epsg <epsg>             Set the EPSG code for user's clip file.
  -b, --bbox <bbox>             Specify a bounding box to clip the point cloud data. It should be comma-separated list with minx,miny,maxx,maxy
- -r, --radius <radius>         Set the radius of the circle to clip the point cloud data to. Unit is in meter.
  -p, --preview                 Preview the point cloud data in a 3D viewer.
  -h, --help [category]         Display help information. Optionally, specify a category to get
                                more detailed help for a specific command.
@@ -29,7 +29,7 @@
 
 
 @click.command()
-@click.version_option(version="0.1.5", prog_name="ahn_cli")
+@click.version_option(version="0.1.6", prog_name="ahn_cli")
 @click.option(
     "-o",
     "--output",
@@ -69,6 +69,12 @@
     type=str,
     help="Specify a file path to a clipping boundary file. The tool will use this file to clip the point cloud data to a specific area.",
 )
+@click.option(
+    "-e",
+    "--epsg",
+    type=int,
+    help="Set the EPSG code for user's clip file.",
+)
 @click.option(
     "-d",
     "--decimate",
@@ -81,12 +87,6 @@
     type=str,
     help="Specify a bounding box to clip the point cloud data. It should be comma-separated list with minx,miny,maxx,maxy",
 )
-@click.option(
-    "-r",
-    "--radius",
-    type=int,
-    help="Set the radius of the circle to clip the point cloud data to. Unit is in meter.",
-)
 @click.option(
     "-p",
     "--preview",
@@ -110,13 +110,13 @@ def main(**kwargs: Any) -> None:
     )
     no_clip_city = params.get("no_clip_city")
     clip_file = params.get("clip_file")
+    epsg = params.get("epsg")
     decimate = params.get("decimate")
     bbox = (
         [float(x) for x in str(params.get("bbox", "")).split(",")]
         if params.get("bbox", "")
         else None
     )
-    radius = params.get("radius")
     preview = params.get("preview")
     if validate_all(
         cfg,
@@ -126,9 +126,9 @@ def main(**kwargs: Any) -> None:
         exclude_classes,
         no_clip_city,
         clip_file,
+        epsg,
         decimate,
         bbox,
-        radius,
     ):
         process(
             cfg.geotiles_base_url,
@@ -139,8 +139,9 @@ def main(**kwargs: Any) -> None:
             exclude_classes,
             no_clip_city,
             clip_file,
+            epsg,
+            decimate,
             bbox,
-            radius,
             preview,
         )
 
diff --git a/ahn_cli/manipulator/pipeline.py b/ahn_cli/manipulator/pipeline.py
index 1c13b8e..a203671 100644
--- a/ahn_cli/manipulator/pipeline.py
+++ b/ahn_cli/manipulator/pipeline.py
@@ -1,10 +1,12 @@
-import json
-from typing import Any, Self
+from typing import Self
 
 import geopandas as gpd
-import pdal
+import laspy
+import numpy as np
+import rasterio
 from shapely import Polygon
 
+from ahn_cli.manipulator import rasterizer
 from ahn_cli.manipulator.transformer import tranform_polygon
 
 
@@ -17,69 +19,30 @@ class PntCPipeline:
         output_path (str): The path to save the output data.
         city_filepath (str): The path to the city data file.
         city_name (str): The name of the city.
+        epsg (int): The EPSG code for the coordinate reference system (CRS).
 
     Attributes:
         pipeline_setting (list): The configuration settings for the pipeline.
 
     """
 
+    las = laspy.LasData
+    city_df: gpd.GeoDataFrame
+    city_name: str
+    raster_res: float = 10.0  # default raster resolution
+    epsg: str | None = None
+
     def __init__(
         self,
-        input_path: str,
-        output_path: str,
+        las: laspy.LasData,
         city_filepath: str,
         city_name: str,
+        epsg: int = 4326,
     ) -> None:
-        self.pipeline_setting: list[Any] = []
-        self._init_pipeline(input_path, output_path)
+        self.las = las
         self.city_df = gpd.read_file(city_filepath)
         self.city_name = city_name
-
-    def _init_pipeline(self, input_path: str, output_path: str) -> Self:
-        """
-        Initialize the pipeline with the input and output settings.
-
-        Args:
-            input_path (str): The path to the input data.
-            output_path (str): The path to save the output data.
-
-        Returns:
-            list: The initialized pipeline configuration.
-
-        """
-        self.pipeline_setting = [
-            input_path,
-            {
-                "type": "writers.las",
-                **(
-                    {"compression": "laszip"}
-                    if output_path.endswith(".laz")
-                    or output_path.endswith("LAZ")
-                    else {}
-                ),
-                "filename": output_path,
-            },
-        ]
-        return self
-
-    def merge(self, merge_files: list[str]) -> Self:
-        """
-        Merge the point cloud with another point cloud.
-
-        Args:
-            merge_file (str): The path to the point cloud file to merge.
-
-        Returns:
-            Pipeline: The updated pipeline object.
-
-        """
-        merge_pipe = [merge_file for merge_file in merge_files] + [
-            {"type": "filters.merge"}
-        ]
-        self.pipeline_setting = (
-            self.pipeline_setting[:1] + merge_pipe + self.pipeline_setting[1:]
-        )
-        return self
+        self.epsg = "EPSG:" + str(epsg)
 
     def decimate(self, step: int) -> Self:
         """
@@ -92,17 +55,7 @@ def decimate(self, step: int) -> Self:
             Pipeline: The updated pipeline object.
 
         """
-        decimate_pipe = [
-            {
-                "type": "filters.decimation",
-                "step": str(step),
-            }
-        ]
-        self.pipeline_setting = (
-            self.pipeline_setting[:-1]
-            + decimate_pipe
-            + self.pipeline_setting[-1:]
-        )
+        self.las.points = self.las.points[::step]
         return self
 
     def include(self, include_classes: list[int]) -> Self:
@@ -115,25 +68,8 @@ def include(self, include_classes: list[int]) -> Self:
         Returns:
             Self: The modified pipeline object.
         """
-        include_pipe = [
-            {
-                "type": "filters.range",
-                "limits": ",".join(
-                    [
-                        "Classification[{}:{}]".format(
-                            str(kclass), str(kclass)
-                        )
-                        for kclass in include_classes
-                    ]
-                ),
-            },
-        ]
-        # append dbscan_pipe to pipeline_setting as -2 index. This is because the last index is the writer
-        self.pipeline_setting = (
-            self.pipeline_setting[:-1]
-            + include_pipe
-            + self.pipeline_setting[-1:]
-        )
+        mask = np.isin(self.las.classification, include_classes)
+        self.las.points = self.las.points[mask]
         return self
 
     def exclude(self, exclude_classes: list[int]) -> Self:
@@ -146,51 +82,38 @@ def exclude(self, exclude_classes: list[int]) -> Self:
         Returns:
             Self: The modified pipeline object.
         """
-        # The reason why not using "filters.range" is because it doesn't work with multiple conditions for exclusion
-        exclude_pipe = [
-            {
-                "type": "filters.expression",
-                "expression": "&&".join(
-                    [
-                        "Classification != {}".format(str(ex_class))
-                        for ex_class in exclude_classes
-                    ]
-                ),
-            },
-        ]
-
-        # append dbscan_pipe to pipeline_setting as -2 index. This is because the last index is the writer
-        self.pipeline_setting = (
-            self.pipeline_setting[:-1]
-            + exclude_pipe
-            + self.pipeline_setting[-1:]
-        )
+        mask = np.isin(self.las.classification, exclude_classes, invert=True)
+        self.las.points = self.las.points[mask]
         return self
 
     def clip(self) -> Self:
         """
         Clip the point cloud by a polygon.
+        """
+        rasterized_polygon, transform = rasterizer.polygon_to_raster(
+            self._city_polygon(), self.raster_res
+        )
 
-        Args:
-            cityname (str): The name of the city to clip the point cloud.
-
-        Returns:
-            Self: The updated pipeline object.
+        xyz = self.las.xyz
+        transformer = rasterio.transform.AffineTransformer(transform)
+        rows, cols = transformer.rowcol(xyz[:, 0], xyz[:, 1])
+        rows, cols = np.array(rows, dtype=int), np.array(cols, dtype=int)
+        # Store original bounds checks
+        original_rows_out_of_bounds = (rows < 0) | (
+            rows >= rasterized_polygon.shape[0]
+        )
+        original_cols_out_of_bounds = (cols < 0) | (
+            cols >= rasterized_polygon.shape[1]
+        )
 
-        """
-        city_polygon = self._city_polygon()
-        clip_pipe = [
-            {
-                "type": "filters.crop",
-                "polygon": city_polygon,
-            }
-        ]
-        # append clip_pipe to pipeline_setting as -2 index. This is because the last index is the writer
-        self.pipeline_setting = (
-            self.pipeline_setting[:-1]
-            + clip_pipe
-            + self.pipeline_setting[-1:]
+        rows = np.clip(rows, 0, rasterized_polygon.shape[0] - 1)
+        cols = np.clip(cols, 0, rasterized_polygon.shape[1] - 1)
+        valid_points_mask = (
+            (rasterized_polygon[rows, cols] == 1)
+            & (~original_rows_out_of_bounds)
+            & (~original_cols_out_of_bounds)
         )
+        self.las.points = self.las.points[valid_points_mask]
         return self
 
     def clip_by_arbitrary_polygon(self, clip_file: str) -> Self:
@@ -204,18 +127,31 @@ def clip_by_arbitrary_polygon(self, clip_file: str) -> Self:
             Pipeline: The updated pipeline object.
 
         """
-        clip_pipe = [
-            {
-                "type": "filters.crop",
-                "polygon": self._arbitrary_polygon(clip_file),
-            }
-        ]
-        # append clip_pipe to pipeline_setting as -2 index. This is because the last index is the writer
-        self.pipeline_setting = (
-            self.pipeline_setting[:-1]
-            + clip_pipe
-            + self.pipeline_setting[-1:]
+        polygon = self._arbitrary_polygon(clip_file)
+        rasterized_polygon, transform = rasterizer.polygon_to_raster(
+            polygon, self.raster_res
         )
+
+        xyz = self.las.xyz
+        transformer = rasterio.transform.AffineTransformer(transform)
+        rows, cols = transformer.rowcol(xyz[:, 0], xyz[:, 1])
+        rows, cols = np.array(rows, dtype=int), np.array(cols, dtype=int)
+        # Store original bounds checks
+        original_rows_out_of_bounds = (rows < 0) | (
+            rows >= rasterized_polygon.shape[0]
+        )
+        original_cols_out_of_bounds = (cols < 0) | (
+            cols >= rasterized_polygon.shape[1]
+        )
+
+        rows = np.clip(rows, 0, rasterized_polygon.shape[0] - 1)
+        cols = np.clip(cols, 0, rasterized_polygon.shape[1] - 1)
+        valid_points_mask = (
+            (rasterized_polygon[rows, cols] == 1)
+            & (~original_rows_out_of_bounds)
+            & (~original_cols_out_of_bounds)
+        )
+        self.las.points = self.las.points[valid_points_mask]
         return self
 
     def clip_by_bbox(self, bbox: list[float]) -> Self:
@@ -229,89 +165,21 @@ def clip_by_bbox(self, bbox: list[float]) -> Self:
             Self: The updated pipeline object.
 
         """
-        clip_pipe = [
-            {
-                "type": "filters.crop",
-                "bounds": f"([{bbox[0]},{bbox[2]} ],[{bbox[1]},{bbox[3]}])",
-            }
-        ]
-
-        # append clip_pipe to pipeline_setting as -2 index. This is because the last index is the writer
-        self.pipeline_setting = (
-            self.pipeline_setting[:-1]
-            + clip_pipe
-            + self.pipeline_setting[-1:]
-        )
-        return self
-
-    def clip_by_radius(self, radius: float) -> Self:
-        """
-        Clips the point cloud by a given radius around a specified center.
-
-        Args:
-            radius (float): The radius of the clipping area.
-
-        Returns:
-            Self: The modified instance of the pipeline.
-        """
-        record = self.city_df[
-            self.city_df["name"].str.lower() == self.city_name.lower()
-        ]
-        polygon = record.iloc[0].geometry
-        crs = self.city_df.crs
-        if crs is not None:
-            polygon = tranform_polygon(polygon, crs, "EPSG:28992")
-        center = polygon.centroid.coords[0]
-        clip_pipe = [
-            {
-                "type": "filters.crop",
-                "point": f"POINT({center[0]} {center[1]} 0)",
-                "distance": str(radius),
-            }
-        ]
-
-        # append clip_pipe to pipeline_setting as -2 index. This is because the last index is the writer
-        self.pipeline_setting = (
-            self.pipeline_setting[:-1]
-            + clip_pipe
-            + self.pipeline_setting[-1:]
-        )
-        return self
-
-    def info(self) -> Self:
-        """
-        Print the pipeline configuration.
-
-        Returns:
-            None
-        """
-        info_pipe = [
-            {
-                "type": "filters.info",
-            }
-        ]
-        # append info_pipe to pipeline_setting as -2 index. This is because the last index is the writer
-        self.pipeline_setting = (
-            self.pipeline_setting[:1] + info_pipe + self.pipeline_setting[1:]
-        )
+        xyz = self.las.xyz
+        x_valid = (xyz[:, 0] >= bbox[0]) & (xyz[:, 0] <= bbox[2])
+        y_valid = (xyz[:, 1] >= bbox[1]) & (xyz[:, 1] <= bbox[3])
+        valid_points_mask = x_valid & y_valid
+        self.las.points = self.las.points[valid_points_mask]
         return self
 
-    def execute(self) -> None:
+    def points(self) -> laspy.LasData:
         """
         Execute the pipeline.
 
         Returns:
-            None
+            laspy.LasData: The processed point cloud.
         """
-        print("Executing pipeline...")
-        self.info()
-        pipeline_json = json.dumps(self.pipeline_setting)
-        pipeline = pdal.Pipeline(pipeline_json)
-        pipeline.execute()
-        log = pipeline.log
-        print(log)
-
-        print("Pipeline executed successfully")
+        return self.las
 
     def _city_polygon(self) -> Polygon:
         """
@@ -320,7 +188,7 @@ def _city_polygon(self) -> Polygon:
         Args:
             None
         Returns:
-            str: The well-known text (WKT) representation of the city's polygon.
+            Polygon: The polygon representing the city's boundary.
         Raises:
             ValueError: If the polygon fails to be reprojected.
         """
@@ -333,8 +201,7 @@ def _city_polygon(self) -> Polygon:
             polygon = tranform_polygon(polygon, crs, "EPSG:28992")
         if polygon is None:
             raise ValueError("Failed to reproject polygon")
-        wkt_polygon = polygon.wkt
-        return wkt_polygon
+        return polygon
 
     def _arbitrary_polygon(self, filepath: str) -> Polygon:
         """
@@ -351,38 +218,13 @@ def _arbitrary_polygon(self, filepath: str) -> Polygon:
         Raises:
             ValueError: If the polygon fails to be reprojected.
         """
-        city_df = gpd.read_file(filepath)
-        polygon = city_df[city_df.geometry.type == "Polygon"].iloc[0].geometry
-        crs = city_df.crs
-        if crs is not None:
+        gdf = gpd.read_file(filepath)
+        polygon = gdf[gdf.geometry.type == "Polygon"].iloc[0].geometry
+        crs = gdf.crs
+        if self.epsg is not None:
+            polygon = tranform_polygon(polygon, self.epsg, "EPSG:28992")
+        elif crs is not None:
             polygon = tranform_polygon(polygon, crs, "EPSG:28992")
         if polygon is None:
             raise ValueError("Failed to reproject polygon")
-        wkt_polygon = polygon.wkt
-        return wkt_polygon
-
-    def _clip_bbox(self, bbox: list[float]) -> Self:
-        """
-        Clip the point cloud by a bounding box.
-
-        Args:
-            bbox (list[float]): The bounding box to clip the point cloud. [xmin, ymin, xmax, ymax]
-
-        Returns:
-            Self: The updated pipeline object.
-
-        """
-        clip_pipe = [
-            {
-                "type": "filters.crop",
-                "bounds": f"([{bbox[0]},{bbox[2]} ],[{bbox[1]},{bbox[3]}])",
-            }
-        ]
-
-        # append clip_pipe to pipeline_setting as -2 index. This is because the last index is the writer
-        self.pipeline_setting = (
-            self.pipeline_setting[:-1]
-            + clip_pipe
-            + self.pipeline_setting[-1:]
-        )
-        return self
+        return polygon
diff --git a/ahn_cli/manipulator/preview.py b/ahn_cli/manipulator/preview.py
index bd8d415..43c35c1 100644
--- a/ahn_cli/manipulator/preview.py
+++ b/ahn_cli/manipulator/preview.py
@@ -1,15 +1,13 @@
 import laspy
-import pyvista as pv
+import polyscope as ps
 
 
 def previewer(filepath: str) -> None:
     # Read LAS file
     las = laspy.read(filepath)
+    points = las.xyz
 
-    points = pv.PolyData(las.xyz)
+    ps.init()
+    ps.register_point_cloud("AHN Point Cloud", points)
 
-    # Plot using PyVista
-    plotter = pv.Plotter()
-    plotter.add_points(points, color="blue", point_size=3)
-
-    plotter.show()
+    ps.show()
diff --git a/ahn_cli/manipulator/rasterizer.py b/ahn_cli/manipulator/rasterizer.py
new file mode 100644
index 0000000..95862aa
--- /dev/null
+++ b/ahn_cli/manipulator/rasterizer.py
@@ -0,0 +1,38 @@
+from typing import Tuple
+
+import numpy as np
+from rasterio import features
+from rasterio.transform import Affine, from_origin
+from shapely import Polygon
+
+
+def polygon_to_raster(
+    polygon: Polygon,
+    resolution: float,
+) -> Tuple[np.ndarray, Affine]:
+    """
+    Convert a polygon to a raster file.
+
+    Args:
+        polygon (Polygon): The polygon to convert.
+        resolution (float): The resolution of the raster.
+
+    Returns:
+        None
+
+    """
+    bbox = polygon.bounds
+    height = int((bbox[3] - bbox[1]) / resolution)
+    width = int((bbox[2] - bbox[0]) / resolution)
+
+    transform = from_origin(bbox[0], bbox[3], resolution, resolution)
+    shape = (height, width)
+    rasterized = features.rasterize(
+        shapes=[polygon],
+        out_shape=shape,
+        transform=transform,
+        fill=0,
+        all_touched=True,
+        dtype="uint8",
+    )
+    return rasterized, transform
diff --git a/ahn_cli/process.py b/ahn_cli/process.py
index 6844dba..08a7ce5 100644
--- a/ahn_cli/process.py
+++ b/ahn_cli/process.py
@@ -1,7 +1,13 @@
+import logging
 import os
+
+import numpy as np
+from tqdm import tqdm
 from ahn_cli.fetcher.request import Fetcher
 from ahn_cli.manipulator.pipeline import PntCPipeline
 from ahn_cli.manipulator.preview import previewer
+import laspy
+from laspy.lasappender import LasAppender
 
 
 def process(
@@ -13,34 +19,61 @@ def process(
     exclude_classes: list[int] | None = None,
     no_clip_city: bool | None = False,
     clip_file: str | None = None,
+    epsg: int | None = None,
+    decimate: int | None = None,
     bbox: list[float] | None = None,
-    radius: int | None = None,
     preview: bool | None = False,
 ) -> None:
     ahn_fetcher = Fetcher(base_url, city_name)
     fetched_files = ahn_fetcher.fetch()
 
     files = list(fetched_files.values())
+    for i, file in enumerate(
+        tqdm(files, desc="Processing files", unit="file", total=len(files))
+    ):
+        logging.info("Start processing downloaded files...")
+        with laspy.open(file) as las:
+            if i == 0:
+                global_header = las.header
+            # update maxs and mins if necessary
+            header = las.header
+            offset = global_header.offsets - header.offsets
+            maxs = np.maximum(global_header.maxs, las.header.max)
+            mins = np.minimum(global_header.mins, las.header.min)
+            global_header.maxs = maxs
+            global_header.mins = mins
+
+            pipeline = PntCPipeline(
+                las.read(),
+                city_polygon_path,
+                city_name,
+                epsg if epsg is not None else 4326,
+            )
+
+            if bbox is not None:
+                pipeline.clip_by_bbox(bbox)
+            if decimate is not None:
+                pipeline.decimate(decimate)
+            if include_classes is not None and len(include_classes) > 0:
+                pipeline.include(include_classes)
+            if exclude_classes is not None and len(exclude_classes) > 0:
+                pipeline.exclude(exclude_classes)
+            if not no_clip_city:
+                pipeline.clip()
+            if clip_file is not None:
+                pipeline.clip_by_arbitrary_polygon(clip_file)
 
-    pipeline = PntCPipeline(
-        files[0], output_path, city_polygon_path, city_name
-    )
-    pipeline.merge(files[1:])
-    if bbox is not None:
-        pipeline.clip_by_bbox(bbox)
-    if radius is not None:
-        pipeline.clip_by_radius(radius)
-    if include_classes is not None and len(include_classes) > 0:
-        pipeline.include(include_classes)
-    if exclude_classes is not None and len(exclude_classes) > 0:
-        pipeline.exclude(exclude_classes)
-    if (
-        not no_clip_city and radius is None
-    ):  # if no radius is specified, clip by city
-        pipeline.clip()
-    if clip_file is not None:
-        pipeline.clip_by_arbitrary_polygon(clip_file)
-    pipeline.execute()
+            with laspy.open(
+                output_path, mode="w" if i == 0 else "a", header=global_header
+            ) as writer:
+                points = pipeline.points().points
+                points.x = points.x - offset[0]
+                points.y = points.y - offset[1]
+                points.z = points.z - offset[2]
+                if isinstance(writer, laspy.LasWriter):
+                    writer.write_points(points)
+                if isinstance(writer, LasAppender):
+                    writer.append_points(points)
 
     for file in files:
         os.remove(file)
diff --git a/ahn_cli/validator.py b/ahn_cli/validator.py
index 5c6d184..a981dc1 100644
--- a/ahn_cli/validator.py
+++ b/ahn_cli/validator.py
@@ -11,8 +11,6 @@ def validate_output(output: str) -> str:
         raise ValueError("Output path is required.")
     if not os.path.exists(os.path.dirname(output)):
         raise ValueError("Output directory does not exist.")
-    if os.path.exists(output):
-        raise ValueError("Output file already exists.")
     return output
 
 
@@ -63,6 +61,14 @@ def validate_clip_file(clip_file: str | None) -> str | None:
     return clip_file
 
 
+def validate_epsg(epsg: int | None) -> int | None:
+    if epsg is None:
+        return None
+    if epsg < 1000 or epsg > 999999:
+        raise ValueError("EPSG code is not valid.")
+    return epsg
+
+
 def validate_decimate(decimate: int | None) -> int | None:
     if decimate is None:
         return None
@@ -81,14 +87,6 @@ def validate_bbox(bbox: list[float] | None) -> list[float] | None:
     return bbox
 
 
-def validate_radius(radius: int | None) -> int | None:
-    if radius is None:
-        return None
-    if radius < 1:
-        raise ValueError("Radius must be greater than 0.")
-    return radius
-
-
 def validate_all(
     cfg: config.Config,
     output_path: str,
@@ -97,9 +95,9 @@ def validate_all(
     exclude_classes: list[int] | None = None,
     no_clip_city: bool | None = False,
     clip_file: str | None = None,
+    epsg: int | None = None,
     decimate: int | None = None,
     bbox: list[float] | None = None,
-    radius: int | None = None,
 ) -> bool:
     validate_output(output_path)
     validate_city(city_name, cfg.city_polygon_file)
@@ -107,7 +105,7 @@ def validate_all(
     validate_exclude_classes(exclude_classes)
     validate_include_exclude(include_classes, exclude_classes)
     validate_clip_file(clip_file)
+    validate_epsg(epsg)
     validate_decimate(decimate)
     validate_bbox(bbox)
-    validate_radius(radius)
     return True
diff --git a/poetry.lock b/poetry.lock
index be0987f..42d4a7f 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,5 +1,21 @@
 # This file is automatically @generated by Poetry and should not be changed by hand.
 
+[[package]]
+name = "affine"
+version = "2.4.0"
+description = "Matrices describing affine transformation of the plane"
+category = "main"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "affine-2.4.0-py3-none-any.whl", hash = "sha256:8a3df80e2b2378aef598a83c1392efd47967afec4242021a0b06b4c7cbc61a92"},
+    {file = "affine-2.4.0.tar.gz", hash = "sha256:a24d818d6a836c131976d22f8c27b8d3ca32d0af64c1d8d29deb7bafa4da1eea"},
+]
+
+[package.extras]
+dev = ["coveralls", "flake8", "pydocstyle"]
+test = ["pytest (>=4.6)", "pytest-cov"]
+
 [[package]]
 name = "attrs"
 version = "23.1.0"
@@ -241,86 +257,6 @@ files = [
     {file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"},
 ]
 
-[[package]]
-name = "contourpy"
-version = "1.2.0"
-description = "Python library for calculating contours of 2D quadrilateral grids"
-category = "main"
-optional = false
-python-versions = ">=3.9"
-files = [
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-    {file = "contourpy-1.2.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:ab459a1cbbf18e8698399c595a01f6dcc5c138220ca3ea9e7e6126232d102bb4"},
-    {file = "contourpy-1.2.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6fdd887f17c2f4572ce548461e4f96396681212d858cae7bd52ba3310bc6f00f"},
-    {file = "contourpy-1.2.0-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:5d16edfc3fc09968e09ddffada434b3bf989bf4911535e04eada58469873e28e"},
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-]
-
-[package.dependencies]
-numpy = ">=1.20,<2.0"
-
-[package.extras]
-bokeh = ["bokeh", "selenium"]
-docs = ["furo", "sphinx (>=7.2)", "sphinx-copybutton"]
-mypy = ["contourpy[bokeh,docs]", "docutils-stubs", "mypy (==1.6.1)", "types-Pillow"]
-test = ["Pillow", "contourpy[test-no-images]", "matplotlib"]
-test-no-images = ["pytest", "pytest-cov", "pytest-xdist", "wurlitzer"]
-
-[[package]]
-name = "cycler"
-version = "0.12.1"
-description = "Composable style cycles"
-category = "main"
-optional = false
-python-versions = ">=3.8"
-files = [
-    {file = "cycler-0.12.1-py3-none-any.whl", hash = "sha256:85cef7cff222d8644161529808465972e51340599459b8ac3ccbac5a854e0d30"},
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-]
-
-[package.extras]
-docs = ["ipython", "matplotlib", "numpydoc", "sphinx"]
-tests = ["pytest", "pytest-cov", "pytest-xdist"]
-
 [[package]]
 name = "exceptiongroup"
 version = "1.2.0"
@@ -403,72 +339,6 @@ mccabe = ">=0.7.0,<0.8.0"
 pycodestyle = ">=2.11.0,<2.12.0"
 pyflakes = ">=3.1.0,<3.2.0"
 
-[[package]]
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-sftp = ["paramiko (>=2.7.0)"]
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 [[package]]
 name = "pycodestyle"
@@ -1291,30 +931,54 @@ files = [
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 ]
 
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+click-plugins = "*"
+cligj = ">=0.5"
+numpy = "*"
+setuptools = "*"
+snuggs = ">=1.4.1"
 
 [package.extras]
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-colormaps = ["cmocean", "colorcet"]
-io = ["imageio", "meshio (>=5.2)"]
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+plot = ["matplotlib"]
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 [[package]]
 name = "requests"
@@ -1338,21 +1002,6 @@ urllib3 = ">=1.21.1,<3"
 socks = ["PySocks (>=1.5.6,!=1.5.7)"]
 use-chardet-on-py3 = ["chardet (>=3.0.2,<6)"]
 
-[[package]]
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-description = "A Great Dane turned Python environment detective"
-category = "main"
-optional = false
-python-versions = ">=3.8"
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-
-[package.extras]
-cpu = ["mkl", "psutil"]
-
 [[package]]
 name = "setuptools"
 version = "69.0.2"
@@ -1440,6 +1089,25 @@ files = [
     {file = "six-1.16.0.tar.gz", hash = "sha256:1e61c37477a1626458e36f7b1d82aa5c9b094fa4802892072e49de9c60c4c926"},
 ]
 
+[[package]]
+name = "snuggs"
+version = "1.4.7"
+description = "Snuggs are s-expressions for Numpy"
+category = "main"
+optional = false
+python-versions = "*"
+files = [
+    {file = "snuggs-1.4.7-py3-none-any.whl", hash = "sha256:988dde5d4db88e9d71c99457404773dabcc7a1c45971bfbe81900999942d9f07"},
+    {file = "snuggs-1.4.7.tar.gz", hash = "sha256:501cf113fe3892e14e2fee76da5cd0606b7e149c411c271898e6259ebde2617b"},
+]
+
+[package.dependencies]
+numpy = "*"
+pyparsing = ">=2.1.6"
+
+[package.extras]
+test = ["hypothesis", "pytest"]
+
 [[package]]
 name = "tomli"
 version = "2.0.1"
@@ -1452,6 +1120,27 @@ files = [
     {file = "tomli-2.0.1.tar.gz", hash = "sha256:de526c12914f0c550d15924c62d72abc48d6fe7364aa87328337a31007fe8a4f"},
 ]
 
+[[package]]
+name = "tqdm"
+version = "4.66.2"
+description = "Fast, Extensible Progress Meter"
+category = "main"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "tqdm-4.66.2-py3-none-any.whl", hash = "sha256:1ee4f8a893eb9bef51c6e35730cebf234d5d0b6bd112b0271e10ed7c24a02bd9"},
+    {file = "tqdm-4.66.2.tar.gz", hash = "sha256:6cd52cdf0fef0e0f543299cfc96fec90d7b8a7e88745f411ec33eb44d5ed3531"},
+]
+
+[package.dependencies]
+colorama = {version = "*", markers = "platform_system == \"Windows\""}
+
+[package.extras]
+dev = ["pytest (>=6)", "pytest-cov", "pytest-timeout", "pytest-xdist"]
+notebook = ["ipywidgets (>=6)"]
+slack = ["slack-sdk"]
+telegram = ["requests"]
+
 [[package]]
 name = "types-requests"
 version = "2.31.0.20240125"
@@ -1508,48 +1197,6 @@ brotli = ["brotli (>=1.0.9)", "brotlicffi (>=0.8.0)"]
 socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"]
 zstd = ["zstandard (>=0.18.0)"]
 
-[[package]]
-name = "vtk"
-version = "9.3.0"
-description = "VTK is an open-source toolkit for 3D computer graphics, image processing, and visualization"
-category = "main"
-optional = false
-python-versions = "*"
-files = [
-    {file = "vtk-9.3.0-cp310-cp310-macosx_10_10_x86_64.whl", hash = "sha256:7d3492cb6c52b23dc0c6e664938b8119254a77b5e3099106e2567ed0b6473162"},
-    {file = "vtk-9.3.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:e3f4e86bff7a4cd71bd6205bd18cf4b6ab70956ecf9cbd73e77a95b2210d98ef"},
-    {file = "vtk-9.3.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a827fb5f05ab78b2cbad81f5d3a3d7065fa995cc907cecdfa7a7b76374130ef3"},
-    {file = "vtk-9.3.0-cp310-cp310-win_amd64.whl", hash = "sha256:2aae778297817335ddd6698b4c124c109d8ac476512691fe19446614ae43ba56"},
-    {file = "vtk-9.3.0-cp311-cp311-macosx_10_10_x86_64.whl", hash = "sha256:a3cd59108b21f55b873a63878a0decec0a707bd960b59d5e15b37d1ad873590f"},
-    {file = "vtk-9.3.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:6d2bdd2c60f0fa5d1926c11b72d96dc23caf9ff41781bae76e48edd09fb8aa03"},
-    {file = "vtk-9.3.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3a02bf6067cae7abfd7f6b1330c69555b715be8ec71a3c8d6471af45a96e8e56"},
-    {file = "vtk-9.3.0-cp311-cp311-win_amd64.whl", hash = "sha256:ff0eedcde5821c023623f70951f2499e9d59e709e288b67a2e2334abafacc322"},
-    {file = "vtk-9.3.0-cp312-cp312-macosx_10_10_x86_64.whl", hash = "sha256:94678fa0476e113500f3b99e9692b92b83a5b058caace7bac3b5f780b12b36ed"},
-    {file = "vtk-9.3.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:371b96afca3ed41a0bf1cd80a42f4b906ca2f470a13df32f39b22a9169d996d7"},
-    {file = "vtk-9.3.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5cfa8d73acbab386b9d6ef8a1a01149fd096a21a23547f10bf0cf98d88300724"},
-    {file = "vtk-9.3.0-cp312-cp312-win_amd64.whl", hash = "sha256:75d27b73270a42923ebefd87a8522f7717618c36825b8058c4d3aa8e64d6145d"},
-    {file = "vtk-9.3.0-cp36-cp36m-macosx_10_10_x86_64.whl", hash = "sha256:6b4a6f9d4ae16a417edf3cd750da5cb87e9676d1db1da6a6772a9e492567a452"},
-    {file = "vtk-9.3.0-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:fbd3536979c177dd12f9365a1072e217d64503596add6986318d466aab565d51"},
-    {file = "vtk-9.3.0-cp36-cp36m-win_amd64.whl", hash = "sha256:296f185482df591d7b2c2a734f3a68884352efd89cade37f3345ddc4dcb6e019"},
-    {file = "vtk-9.3.0-cp37-cp37m-macosx_10_10_x86_64.whl", hash = "sha256:9d5c837a4d865ec80752d8ca8ee719be8341af66601df0da94ee78ae0806bb4b"},
-    {file = "vtk-9.3.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5cdfb7e51a63ee2f06b1aa84e643f046b746116397a89cb50d20956731e88209"},
-    {file = "vtk-9.3.0-cp37-cp37m-win_amd64.whl", hash = "sha256:2902c8601ada0e653a4d34ebca0f17768fb559f05fe9f4502dcdda136d847a1e"},
-    {file = "vtk-9.3.0-cp38-cp38-macosx_10_10_x86_64.whl", hash = "sha256:f0798c2ae607be930656347491c520945984ab657ab00804d159323962e97102"},
-    {file = "vtk-9.3.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e4d92c9a70902da512dfbcd3f064f825b7b5b6d62edd197d3754549f7c0ff516"},
-    {file = "vtk-9.3.0-cp38-cp38-win_amd64.whl", hash = "sha256:17810f82aeee7143057fcb2d963245f57450800a7b913c5d66ed915f09740d3d"},
-    {file = "vtk-9.3.0-cp39-cp39-macosx_10_10_x86_64.whl", hash = "sha256:7a564f31dbe514276abffb1d3204120ead15506a24ecaa2560009ba304896dae"},
-    {file = "vtk-9.3.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:3b22a0d03305160d6612da0a378759083ef7691d0f83f1b1496418777ee3a2a3"},
-    {file = "vtk-9.3.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:cdd81c9904647ace8d13ad255d8e5293fb81be8125e1a139a707aaf9e6f0e9e2"},
-    {file = "vtk-9.3.0-cp39-cp39-win_amd64.whl", hash = "sha256:f0a44c926ba18fd9e2ad7c07ae0adabb4ca62af28c69c96bcbaa884e0b240249"},
-]
-
-[package.dependencies]
-matplotlib = ">=2.0.0"
-
-[package.extras]
-numpy = ["numpy (>=1.9)"]
-web = ["wslink (>=1.0.4)"]
-
 [[package]]
 name = "zipp"
 version = "3.17.0"
@@ -1569,4 +1216,4 @@ testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "p
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.9, <3.12"
-content-hash = "a8401f8ed689a0f116626158eda6ce19cd73bbb99c374f11705a54fe57aac573"
+content-hash = "c0c5e35f6be5311eed85c91ada4433cb03df707696286e8e928ac5230cfc46b0"
diff --git a/pyproject.toml b/pyproject.toml
index a08f9ea..68a2ce3 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "ahn_cli"
-version = "0.1.5"
+version = "0.1.6"
 description = ""
 authors = ["HideBa <baba.papa1120.ba@gmail.com>"]
 license = "MIT"
@@ -20,12 +20,13 @@ ahn_cli = "ahn_cli.main:main"
 [tool.poetry.dependencies]
 python = ">=3.9, <3.12"
 click = "^8.1.7"
-pdal = "^3.2.3"
 geopandas = "^0.14.1"
 shapely = "^2.0.2"
 laspy = { extras = ["lazrs"], version = "^2.5.3" }
-pyvista = "^0.43.1"
 requests = "^2.31.0"
+rasterio = "^1.3.9"
+tqdm = "^4.66.2"
+polyscope = "^2.1.0"
 
 
 [tool.poetry.group.dev.dependencies]
diff --git a/tests/test_pipeline.py b/tests/test_pipeline.py
index 00fd91b..1ec7f82 100644
--- a/tests/test_pipeline.py
+++ b/tests/test_pipeline.py
@@ -1,8 +1,8 @@
-import os
-import tempfile
+import time
 import unittest
 
 import laspy
+import numpy as np
 
 from ahn_cli.manipulator.pipeline import PntCPipeline
 
@@ -10,158 +10,91 @@
 TEST_DATA1 = "./tests/testdata/westervoort1_thinned.las"
 CITY_FILE_PATH = "./ahn_cli/fetcher/data/municipality_simple.geojson"
 WESTERVOORT_FILE_PATH = "./tests/testdata/westervoort.geojson"
+WESTERVOORT28992_FILE_PATH = "./tests/testdata/westervoort28992.geojson"
 
 
 class TestPipeline(unittest.TestCase):
-    def test_laz(self) -> None:
-        with tempfile.NamedTemporaryFile(suffix=".laz", delete=True) as tmp:
-            # check if file exists
-            self.assertTrue(tmp.name)
-            self.assertTrue(os.path.exists(TEST_DATA0))
-
-            pipeline = PntCPipeline(
-                TEST_DATA0, tmp.name, CITY_FILE_PATH, "Westervoort"
-            )
-            pipeline.execute()
-
-            with laspy.open(TEST_DATA0) as las:
-                points_before = las.header.point_count
-                las = laspy.read(tmp.name)
-                points_after = las.header.point_count
-                self.assertEqual(points_after, points_before)
-
     def test_decimate(self) -> None:
-        with tempfile.NamedTemporaryFile(suffix=".las", delete=True) as tmp:
-            pipeline = PntCPipeline(
-                TEST_DATA0, tmp.name, CITY_FILE_PATH, "Westervoort"
-            )
+        with laspy.open(TEST_DATA0) as reader:
+            las = reader.read()
+            pipeline = PntCPipeline(las, CITY_FILE_PATH, "Westervoort")
+            points_before = len(pipeline.las.points)
             pipeline.decimate(10)
-            pipeline.execute()
-
-            with laspy.open(TEST_DATA0) as las:
-                points_before = las.header.point_count
-                las = laspy.read(tmp.name)
-                points_after = las.header.point_count
-                self.assertTrue(points_after < points_before)
+            points_after = len(pipeline.las.points)
+            self.assertTrue(points_after < points_before)
 
     def test_include(self) -> None:
-        with tempfile.NamedTemporaryFile(suffix=".las", delete=True) as tmp:
-            pipeline = PntCPipeline(
-                TEST_DATA0, tmp.name, CITY_FILE_PATH, "Westervoort"
-            )
+        with laspy.open(TEST_DATA0) as reader:
+            las = reader.read()
+            pipeline = PntCPipeline(las, CITY_FILE_PATH, "Westervoort")
+            points_before = len(pipeline.las.points)
             pipeline.include([2, 6])
-            pipeline.execute()
-
-            with laspy.open(TEST_DATA0) as las:
-                points_before = las.header.point_count
-                las = laspy.read(tmp.name)
-                points_after = las.header.point_count
-                self.assertTrue(points_after < points_before)
-
-                classes2 = len(las.points[las.classification == 2])
-                classes6 = len(las.points[las.classification == 6])
-                classes0 = len(las.points[las.classification == 0])
-                classes1 = len(las.points[las.classification == 1])
-                classes9 = len(las.points[las.classification == 9])
-                classes26 = len(las.points[las.classification == 26])
-
-                self.assertTrue(classes2 > 0)
-                self.assertTrue(classes6 > 0)
-                self.assertTrue(classes0 == 0)
-                self.assertTrue(classes1 == 0)
-                self.assertTrue(classes9 == 0)
-                self.assertTrue(classes26 == 0)
+            points_after = len(pipeline.las.points)
+            self.assertTrue(points_after < points_before)
+            classes2 = len(las.points[las.classification == 2])
+            classes6 = len(las.points[las.classification == 6])
+            classes0 = len(las.points[las.classification == 0])
+            classes1 = len(las.points[las.classification == 1])
+            classes9 = len(las.points[las.classification == 9])
+            classes26 = len(las.points[las.classification == 26])
+            self.assertTrue(classes2 > 0)
+            self.assertTrue(classes6 > 0)
+            self.assertTrue(classes0 == 0)
+            self.assertTrue(classes1 == 0)
+            self.assertTrue(classes9 == 0)
+            self.assertTrue(classes26 == 0)
 
     def test_exclude(self) -> None:
-        with tempfile.NamedTemporaryFile(suffix=".las", delete=True) as tmp:
-            pipeline = PntCPipeline(
-                TEST_DATA0, tmp.name, CITY_FILE_PATH, "Westervoort"
-            )
+        with laspy.open(TEST_DATA0) as reader:
+            las = reader.read()
+            pipeline = PntCPipeline(las, CITY_FILE_PATH, "Westervoort")
+            points_before = len(pipeline.las.points)
             pipeline.exclude([2, 6])
-            pipeline.execute()
-
-            with laspy.open(TEST_DATA0) as las:
-                points_before = las.header.point_count
-                las = laspy.read(tmp.name)
-                points_after = las.header.point_count
-                self.assertTrue(points_after < points_before)
-
-                classes2 = len(las.points[las.classification == 2])
-                classes6 = len(las.points[las.classification == 6])
-                self.assertTrue(classes2 == 0)
-                self.assertTrue(classes6 == 0)
-
-    def test_merge(self) -> None:
-        with tempfile.NamedTemporaryFile(suffix=".las", delete=True) as tmp:
-            pipeline = PntCPipeline(
-                TEST_DATA0, tmp.name, CITY_FILE_PATH, "Westervoort"
-            )
-            pipeline.merge([TEST_DATA1])
-            pipeline.execute()
-
-            with laspy.open(TEST_DATA0) as las:
-                points_before = las.header.point_count
-                las = laspy.read(tmp.name)
-                points_after = las.header.point_count
-                self.assertTrue(points_after > points_before)
+            points_after = len(pipeline.las.points)
+            self.assertTrue(points_after < points_before)
+            classes2 = len(las.points[las.classification == 2])
+            classes6 = len(las.points[las.classification == 6])
+            self.assertTrue(classes2 == 0)
+            self.assertTrue(classes6 == 0)
 
     def test_clip(self) -> None:
-        with tempfile.NamedTemporaryFile(suffix=".las", delete=True) as tmp:
-            pipeline = PntCPipeline(
-                TEST_DATA0, tmp.name, CITY_FILE_PATH, "Westervoort"
-            )
+        with laspy.open(TEST_DATA1) as reader:
+            las = reader.read()
+            extra_dim = laspy.ExtraBytesParams(name="raster", type=np.uint8)
+            las.add_extra_dim(extra_dim)
+            pipeline = PntCPipeline(las, CITY_FILE_PATH, "Westervoort")
+            points_before = len(pipeline.las.points)
             pipeline.clip()
-            pipeline.execute()
-
-            with laspy.open(TEST_DATA0) as las:
-                points_before = las.header.point_count
-                las = laspy.read(tmp.name)
-                points_after = las.header.point_count
-                self.assertTrue(points_after < points_before)
+            points_after = len(pipeline.las.points)
+            self.assertTrue(points_after < points_before)
 
     def test_clip_by_arbitrary_polygon(self) -> None:
-        with tempfile.NamedTemporaryFile(suffix=".las", delete=True) as tmp:
-            pipeline = PntCPipeline(
-                TEST_DATA0, tmp.name, CITY_FILE_PATH, "Westervoort"
-            )
+        with laspy.open(TEST_DATA1) as reader:
+            las = reader.read()
+            pipeline = PntCPipeline(las, CITY_FILE_PATH, "Westervoort")
+            points_before = len(pipeline.las.points)
             pipeline.clip_by_arbitrary_polygon(WESTERVOORT_FILE_PATH)
-            pipeline.execute()
+            points_after = len(pipeline.las.points)
+            self.assertTrue(points_after < points_before)
 
-            with laspy.open(TEST_DATA0) as las:
-                points_before = las.header.point_count
-                las = laspy.read(tmp.name)
-                points_after = las.header.point_count
-                self.assertTrue(points_after < points_before)
+        with laspy.open(TEST_DATA1) as reader:
+            las = reader.read()
+            pipeline = PntCPipeline(las, CITY_FILE_PATH, "Westervoort", 28992)
+            points_before = len(pipeline.las.points)
+            pipeline.clip_by_arbitrary_polygon(WESTERVOORT28992_FILE_PATH)
+            points_after = len(pipeline.las.points)
+            self.assertTrue(points_after < points_before)
 
     def test_clip_by_bbox(self) -> None:
-        with tempfile.NamedTemporaryFile(suffix=".las", delete=True) as tmp:
-            pipeline = PntCPipeline(
-                TEST_DATA0, tmp.name, CITY_FILE_PATH, "Westervoort"
-            )
+        with laspy.open(TEST_DATA0) as reader:
+            las = reader.read()
+            pipeline = PntCPipeline(las, CITY_FILE_PATH, "Westervoort")
+            points_before = len(pipeline.las.points)
             pipeline.clip_by_bbox(
                 [194198.302994, 443461.343994, 194594.109009, 443694.838989]
-            ).execute()
-            self.assertTrue(True)
-
-            with laspy.open(TEST_DATA0) as las:
-                points_before = las.header.point_count
-                las = laspy.read(tmp.name)
-                points_after = las.header.point_count
-                self.assertTrue(points_after < points_before)
-
-    def test_clip_by_radius(self) -> None:
-        with tempfile.NamedTemporaryFile(suffix=".las", delete=True) as tmp:
-            pipeline = PntCPipeline(
-                TEST_DATA0, tmp.name, CITY_FILE_PATH, "Westervoort"
             )
-            pipeline.clip_by_radius(1000)
-            pipeline.execute()
-
-            with laspy.open(TEST_DATA0) as las:
-                points_before = las.header.point_count
-                las = laspy.read(tmp.name)
-                points_after = las.header.point_count
-                self.assertTrue(points_after < points_before)
+            points_after = len(pipeline.las.points)
+            self.assertTrue(points_after < points_before)
 
 
 if __name__ == "__main__":
diff --git a/tests/test_rasterize.py b/tests/test_rasterize.py
new file mode 100644
index 0000000..5cbe4e2
--- /dev/null
+++ b/tests/test_rasterize.py
@@ -0,0 +1,34 @@
+from importlib.resources import files
+import geopandas as gpd
+import unittest
+
+from ahn_cli.manipulator import rasterizer
+
+from ahn_cli.manipulator.transformer import tranform_polygon
+
+
+TEST_DATA0 = "./tests/testdata/westervoort0_thinned.las"
+TEST_DATA1 = "./tests/testdata/westervoort1_thinned.las"
+CITY_FILE_PATH = "./ahn_cli/fetcher/data/municipality_simple.geojson"
+WESTERVOORT_FILE_PATH = "./tests/testdata/westervoort.geojson"
+
+
+class TestRasterize(unittest.TestCase):
+    def test_rasterize(self) -> None:
+        city_polygon_file = files("ahn_cli.fetcher.data").joinpath(
+            "municipality_simple.geojson"
+        )
+        city_df = gpd.read_file(city_polygon_file)
+        city_name = "Westervoort"
+        record = city_df[city_df["name"].str.lower() == city_name.lower()]
+        polygon = record.iloc[0].geometry
+        crs = city_df.crs
+        if crs is not None:
+            polygon = tranform_polygon(polygon, crs, "EPSG:28992")
+        if polygon is None:
+            raise ValueError("Failed to reproject polygon")
+        rasterizer.polygon_to_raster(polygon, 50)
+
+
+if __name__ == "__main__":
+    unittest.main()
diff --git a/tests/testdata/westervoort28992.geojson b/tests/testdata/westervoort28992.geojson
new file mode 100644
index 0000000..dab0c32
--- /dev/null
+++ b/tests/testdata/westervoort28992.geojson
@@ -0,0 +1,8 @@
+{
+"type": "FeatureCollection",
+"name": "westervoort28992",
+"crs": { "type": "name", "properties": { "name": "urn:ogc:def:crs:EPSG::28992" } },
+"features": [
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