diff --git a/pdal_ign_macro/macro.py b/pdal_ign_macro/macro.py
index 08739c6..641c368 100755
--- a/pdal_ign_macro/macro.py
+++ b/pdal_ign_macro/macro.py
@@ -1,4 +1,8 @@
 import pdal
+import numpy
+import json
+
+import pdaltools.las_info as li
 
 """
 Some useful filters combinations for complete pdal pipeline
@@ -83,6 +87,40 @@ def keep_non_planar_pts(pipeline, condition, condition_out):
     return pipeline
 
 
+def remove_dimensions(input_las, dimensions, ouput_las):
+    """
+    export new las whitout some dimensions
+    """
+    pipeline = pdal.Pipeline() | pdal.Reader.las(input_las)
+    pipeline.execute()
+    points = pipeline.arrays[0]
+
+    dim_remove = []
+    for dim in dimensions:
+        dim_remove.append(list(points.dtype.fields.keys()).index(dim))
+
+    new_points = []
+    for pt in points:
+        ptl = list(pt)
+        ptl = [ptl[i] for i in range(len(ptl)) if i not in dim_remove]
+        new_points.append(tuple(ptl))
+
+    new_dtype = {}
+    for dim in points.dtype.fields.keys():
+        if dim in dimensions:
+            continue
+        new_dtype[dim] = points.dtype.fields[dim]
+
+    new_las = numpy.array(new_points, dtype=new_dtype)
+    params = li.get_writer_parameters_from_reader_metadata(pipeline.metadata)
+
+    pipeline_end = pdal.Pipeline(arrays=[new_las], )
+    pipeline_end |= pdal.Writer.las(ouput_las, forward="all", **params )
+
+    pipeline_end.execute()
+
+
+
 def build_condition(key, values):
     """
     build 'key==values[0] || key==values[1] ...'
diff --git a/test/test_remove_dimension.py b/test/test_remove_dimension.py
new file mode 100644
index 0000000..1a9b1ce
--- /dev/null
+++ b/test/test_remove_dimension.py
@@ -0,0 +1,38 @@
+import tempfile
+import pdal
+import numpy
+
+from pdal_ign_macro.macro import remove_dimensions
+
+
+def test_remove_dimension():
+
+    ini_las = "test/data/4_6.las"
+    added_dimensions = ["DIM_1", "DIM_2"]
+
+    tmp_las = tempfile.NamedTemporaryFile(suffix="_add.las").name
+
+    # recuperation des données ini
+    pipeline_read_ini = pdal.Pipeline() | pdal.Reader.las(ini_las)
+    pipeline_read_ini.execute()
+    points_ini = pipeline_read_ini.arrays[0]
+
+    # ajout de dimensions supplémentaires
+    pipeline = pdal.Pipeline()
+    pipeline |= pdal.Reader.las(ini_las)
+    pipeline |= pdal.Filter.ferry(dimensions="=>" + ", =>".join(added_dimensions))
+    pipeline |= pdal.Writer.las(tmp_las, extra_dims="all", forward="all",)
+    pipeline.execute()
+
+    # suppression des dimensions
+    remove_dimensions(tmp_las, added_dimensions, tmp_las)
+
+    # recuperation des données finales
+    pipeline_read_end = pdal.Pipeline() | pdal.Reader.las(tmp_las)
+    pipeline_read_end.execute()
+    points_end = pipeline_read_end.arrays[0]
+
+    # les données ini et finales doivent être identique
+    assert numpy.array_equal(points_ini, points_end)
+
+