diff --git a/zen3geo/datapipes/laspy.py b/zen3geo/datapipes/laspy.py
index f3302e3..7f859fe 100644
--- a/zen3geo/datapipes/laspy.py
+++ b/zen3geo/datapipes/laspy.py
@@ -1,7 +1,6 @@
 """
 DataPipes for :doc:`laspy <laspy:index>`.
 """
-import io
 from typing import Any, Dict, Iterator, Optional
 
 try:
@@ -22,9 +21,9 @@ class LaspyReaderIterDataPipe(IterDataPipe[StreamWrapper]):
 
     Parameters
     ----------
-    source_datapipe : IterDataPipe[str]
+    source_datapipe : IterDataPipe[str, io.BytesIO]
         A DataPipe that contains filepaths or an :py:class:`io.BytesIO` stream to point
-        cloud files in LAS or LAZ format.
+        cloud data such as LAS, LAZ, COPC, etc.
 
     kwargs : Optional
         Extra keyword arguments to pass to :py:func:`laspy.read`.
diff --git a/zen3geo/tests/test_datapipes_laspy.py b/zen3geo/tests/test_datapipes_laspy.py
new file mode 100644
index 0000000..b93b1d3
--- /dev/null
+++ b/zen3geo/tests/test_datapipes_laspy.py
@@ -0,0 +1,119 @@
+"""
+Tests for laspy datapipes.
+"""
+import tempfile
+import urllib
+
+import numpy as np
+import numpy.testing as npt
+import pytest
+from torchdata.datapipes.iter import IterableWrapper
+
+from zen3geo.datapipes import LaspyReader
+
+laspy = pytest.importorskip("laspy")
+
+
+# %%
+def test_laspy_reader_las_local():
+    """
+    Ensure that LaspyReader works to read in a LAS file (on disk) and outputs a
+    laspy.lasdata.LasData object.
+    """
+    with tempfile.NamedTemporaryFile(suffix=".las") as tmpfile:
+        urllib.request.urlretrieve(
+            url="https://github.com/laz-rs/laz-rs/raw/0.8.3/tests/data/point-time-color.las",
+            filename=tmpfile.name,
+        )
+        dp = IterableWrapper(iterable=[tmpfile.name])
+
+        # Using class constructors
+        dp_laspy = LaspyReader(source_datapipe=dp)
+        # Using functional form (recommended)
+        dp_laspy = dp.read_from_laspy()
+
+        assert len(dp_laspy) == 1
+        it = iter(dp_laspy)
+        lasdata = next(it)
+
+    assert lasdata.header.version == laspy.header.Version(major=1, minor=2)
+    assert lasdata.header.point_format == laspy.point.PointFormat(point_format_id=3)
+    assert lasdata.points.array.shape == (1065,)
+    assert lasdata.xyz.shape == (1065, 3)
+    npt.assert_allclose(
+        actual=lasdata.xyz.mean(axis=0),
+        desired=[494494.6635117371, 4878134.831230047, 132.31299530516432],
+    )
+    npt.assert_allclose(actual=np.unique(lasdata.classification.array), desired=[1, 2])
+
+
+def test_laspy_reader_laz_http():
+    """
+    Ensure that LaspyReader works to read in a LAZ file (from a HTTP byte stream)
+    and outputs a laspy.lasdata.LasData object.
+    """
+    file_url: str = "https://github.com/laz-rs/laz-rs/raw/0.8.3/tests/data/point-version-1-point-wise.laz"
+    dp = IterableWrapper(iterable=[file_url])
+    _, dp_stream = (
+        dp.read_from_http()
+        .read_from_stream()
+        .set_length(length=1)
+        .unzip(sequence_length=2)
+    )
+
+    # Using class constructors
+    dp_laspy = LaspyReader(source_datapipe=dp_stream)
+    # Using functional form (recommended)
+    dp_laspy = dp_stream.read_from_laspy()
+
+    assert len(dp_laspy) == 1
+    it = iter(dp_laspy)
+    lasdata = next(it)
+
+    assert lasdata.header.version == laspy.header.Version(major=1, minor=0)
+    assert lasdata.header.point_format == laspy.point.PointFormat(point_format_id=0)
+    assert lasdata.points.array.shape == (11781,)
+    assert lasdata.xyz.shape == (11781, 3)
+    npt.assert_allclose(
+        actual=lasdata.xyz.mean(axis=0),
+        desired=[2483799.026934895, 366405.56612511666, 1511.9428214922332],
+    )
+    npt.assert_allclose(
+        actual=np.unique(lasdata.classification), desired=[1, 2, 8, 9, 12, 15]
+    )
+
+
+def test_laspy_reader_copc_http():
+    """
+    Ensure that LaspyReader works to read in a COPC file (from a HTTP byte stream) and
+    outputs a laspy.lasdata.LasData object.
+    """
+    file_url: str = (
+        "https://github.com/laspy/laspy/raw/2.5.3/tests/data/simple_with_page.copc.laz"
+    )
+    dp = IterableWrapper(iterable=[file_url])
+    _, dp_stream = (
+        dp.read_from_http()
+        .read_from_stream()
+        .set_length(length=1)
+        .unzip(sequence_length=2)
+    )
+
+    # Using class constructors
+    dp_laspy = LaspyReader(source_datapipe=dp_stream)
+    # Using functional form (recommended)
+    dp_laspy = dp_stream.read_from_laspy()
+
+    assert len(dp_laspy) == 1
+    it = iter(dp_laspy)
+    lasdata = next(it)
+
+    assert lasdata.header.version == laspy.header.Version(major=1, minor=4)
+    assert lasdata.header.point_format == laspy.point.PointFormat(point_format_id=7)
+    assert lasdata.points.array.shape == (1065,)
+    assert lasdata.xyz.shape == (1065, 3)
+    npt.assert_allclose(
+        actual=lasdata.xyz.mean(axis=0),
+        desired=[637296.7351830985, 851249.5384882629, 434.0978403755869],
+    )
+    npt.assert_allclose(actual=np.unique(lasdata.classification), desired=[1, 2])