diff --git a/server/data_processing/__pycache__/process_lidar_data.cpython-311.pyc b/server/data_processing/__pycache__/process_lidar_data.cpython-311.pyc
index 29a63e52c3216522dfbadd87d89f7e180e850df4..4cceb079b85cd33d853adb8d5d15072b4530def9 100644
Binary files a/server/data_processing/__pycache__/process_lidar_data.cpython-311.pyc and b/server/data_processing/__pycache__/process_lidar_data.cpython-311.pyc differ
diff --git a/server/data_processing/process_lidar_data.py b/server/data_processing/process_lidar_data.py
index 46162b5a0db5bc9543e95b9332031865ad49a5f0..ee70948b260e49b46630263ebd274a78dbd9724a 100644
--- a/server/data_processing/process_lidar_data.py
+++ b/server/data_processing/process_lidar_data.py
@@ -10,21 +10,9 @@ lazData_path = ["server/example_lidar_data/ot_N_000005_1.laz", "server/example_l
 
 # Info about data
 with laspy.open(lazData_path[0]) as fh:
-    # Print metadata properties
-    print("File Version:", fh.header.version)
-    print("Point Count:", fh.header.point_count)
-    print("Scale Factors:", fh.header.scale)
-    print("Offset:", fh.header.offset)
-
-    print('Points from Header:', fh.header.point_count)
     las = fh.read()
-    print(las)
-    print('Points from data:', len(las.points))
     ground_pts = las.classification == 2
     bins, counts = np.unique(las.return_number[ground_pts], return_counts=True)
-    print('Ground Point Return Number distribution:')
-    for r, c in zip(bins, counts):
-        print('    {}:{}'.format(r, c))
 
 # check if lidar points is within range of the area selected
 def inArea(position, areaRange):
diff --git a/server/map/__pycache__/get_markers.cpython-311.pyc b/server/map/__pycache__/get_markers.cpython-311.pyc
index 9afbb6c07ee725a0171dfda4a7e56e20c3fe698a..52efde446f4acf064a28ea6968ca718795092912 100644
Binary files a/server/map/__pycache__/get_markers.cpython-311.pyc and b/server/map/__pycache__/get_markers.cpython-311.pyc differ
diff --git a/server/map/get_markers.py b/server/map/get_markers.py
index 00ead05e6d55fcf4c8d4c2c849508127aab83d2b..15c4b2332d2b16bc042514899d4a1cbc8f3a34de 100644
--- a/server/map/get_markers.py
+++ b/server/map/get_markers.py
@@ -1,4 +1,7 @@
 import json
+from datetime import datetime
+import random
+from random import randint
 
 # get_markers requests all marker data or valid markers, converts the data to json, and writes
 # the data to the response object
@@ -62,8 +65,50 @@ def get_all_markers(self, cursor, waterBodyName):
                     'Subdivisions': [sub_division],  # Array of sub_division objects
                 }
 
+        ########################### TEST DATA ###########################################
+        # Temporary test data
+        test_measurements = []
+        subdiv_id = 17
+
+        for i in range(3, 10):
+            sub_divisions = []
+
+            for j in range(0, 30):
+                min_thickness = random.uniform(0, 10)
+                avg_thickness = random.uniform(0, 15) + min_thickness
+
+                subdivision = {
+                    'SubdivID': subdiv_id,
+                    'GroupID': 1,
+                    'MinThickness': min_thickness,
+                    'AvgThickness': avg_thickness,
+                    'CenLatitude': 7.0,
+                    'CenLongitude': 8.0,
+                    'Accuracy': 1.0,
+                    'Color': calculateColor(min_thickness)
+                }
+
+                sub_divisions.append(subdivision)
+                subdiv_id += 1
+
+            measurement = {
+                'MeasurementID': i,
+                'TimeMeasured': str(datetime.now()),
+                'CenterLat': 10.0,
+                'CenterLon': 8.0,
+                'Sensor': {
+                    'SensorID': 1,
+                    'SensorType': "test data",
+                    'Active': True
+                },
+                'Subdivisions': sub_divisions
+            }
+
+            test_measurements.append(measurement)
+        ########################### TEST DATA ###########################################
+
         # Convert dictionary values to list of measurements
-        data = list(measurement_data.values())
+        data = list(measurement_data.values()) + test_measurements
 
         if len(rows) == 0 or len(data) == 0:  # Return 500 and empty list if no data is found
             print(f"No data which meets the condition found")
@@ -85,7 +130,7 @@ def get_all_markers(self, cursor, waterBodyName):
     self.wfile.write(marker_data.encode('utf-8'))
 
 
-def calculateColor(thickness: int):  # NB not final colors nor ranges
+def calculateColor(thickness: float):  # NB not final colors nor ranges
     if 0 < thickness <= 4:
         return 0xFFff0000  # Red
     elif 4 < thickness <= 6: