diff --git a/rest/app.py b/rest/app.py
index a15c04c8..dbd3f090 100644
--- a/rest/app.py
+++ b/rest/app.py
@@ -597,7 +597,12 @@ def add_job_to_queue(job_id):
         # START OF POST_PROCESSING
         # post-process gtiffs to appropriate formats
 
-        parse_sh_gtiff_to_format(job, bucket)
+        try:
+            parse_sh_gtiff_to_format(job, bucket)
+        except Exception as e:
+            print("parsing didn't succeed")
+            print(e)
+
 
         # END OF POST_PROCESSING
 
diff --git a/rest/post_processing/gtiff_parser.py b/rest/post_processing/gtiff_parser.py
index 3bdc6c1a..45ae1015 100644
--- a/rest/post_processing/gtiff_parser.py
+++ b/rest/post_processing/gtiff_parser.py
@@ -10,10 +10,13 @@
 from processing.const import CustomMimeType
 from openeoerrors import Internal
 
+import json
+
 # assume it's only 1 time and 1 bands dimension
 def check_dimensions(time_dimensions, bands_dimensions):
     if len(time_dimensions) == 0:
-        raise Internal("No time dimensions exist. Only 1 time dimension is supported.")
+        print("No time dimensions exist. Only 1 time dimension is supported.")
+        # raise Internal("No time dimensions exist. Only 1 time dimension is supported.")
 
     if len(time_dimensions) > 1:
         raise Internal("More than 1 time dimension exist. Only 1 time dimension is supported.")
@@ -29,18 +32,52 @@ def get_timestamps_arrays(datacube_time_as_bands, time_dimensions, bands_dimensi
     num_of_img_bands = len(datacube_time_as_bands["band"])
     num_of_bands_dimension = len(bands_dimensions[0]["labels"])
 
+    num_time_labels = 0
+    for time_dim in time_dimensions:
+        num_time_labels += len(time_dim["labels"])
+    
+    num_band_labels = 0
+    for band_dim in bands_dimensions:
+        num_band_labels += len(band_dim["labels"])
+
+    num_actual_img_bands = (num_time_labels or 1) * (num_band_labels or 1)
+
     list_of_timestamps = []
     list_of_timestamp_arrays = []
 
-    for i in range(0, num_of_img_bands, num_of_bands_dimension):
-        date = time_dimensions[0]["labels"][int(i / num_of_bands_dimension)]
+    printdata = {
+        "data": datacube_time_as_bands,
+        "data_length": len(datacube_time_as_bands),
+        "data_len/num_of_bands_dimension": len(datacube_time_as_bands) / num_of_bands_dimension,
+        "bands_dimensions": bands_dimensions,
+        "time_dimensions": time_dimensions,
+        "num_img_bands": num_of_img_bands, 
+        "num_bands_dim": num_of_bands_dimension, 
+        "range": range(0, num_actual_img_bands, num_of_bands_dimension),
+        "num_actual_img_bands": num_actual_img_bands,
+        "num_band_labels": num_band_labels,
+        "num_time_labels": num_time_labels,
+    }
+
+    print("get_timestamps_arrays")
+    print(json.dumps(printdata, sort_keys=True, indent=4, default=str))
+
+    for i in range(0, num_actual_img_bands, num_of_bands_dimension):
+
+        print("for loop", {
+            "time_dims": time_dimensions, 
+            "time_dim_index": int(i / num_of_bands_dimension)
+        })
+
+
+        date = time_dimensions[0]["labels"][int(i / num_of_bands_dimension)] if num_time_labels > 0 else ""
         timestamp_array = datacube_time_as_bands[i : i + num_of_bands_dimension]
 
         if output_format in [CustomMimeType.NETCDF, CustomMimeType.ZARR]:
-            pandas_time = pd.to_datetime(parser.parse(date))
             timestamp_array = timestamp_array.assign_coords(band=bands_dimensions[0]["labels"])
-            timestamp_array = timestamp_array.assign_coords(t=pandas_time)
-            timestamp_array = timestamp_array.expand_dims(dim="t")
+            if num_time_labels > 0:
+                timestamp_array = timestamp_array.assign_coords(t=pd.to_datetime(parser.parse(date)))
+                timestamp_array = timestamp_array.expand_dims(dim="t")
 
         list_of_timestamps.append(date)
         list_of_timestamp_arrays.append(timestamp_array)
@@ -51,7 +88,8 @@ def get_timestamps_arrays(datacube_time_as_bands, time_dimensions, bands_dimensi
 def save_as_gtiff(list_of_timestamps, list_of_timestamp_arrays, output_dir, output_name):
     output_file_paths = []
     for array, date in zip(list_of_timestamp_arrays, list_of_timestamps):
-        file_name = f"{output_name['name']}_{date}{output_name['ext']}"
+        date_string = "" if date == "" else f"_{date}"
+        file_name = f"{output_name['name']}{date_string}{output_name['ext']}"
         file_path = os.path.join(output_dir, file_name)
         output_file_paths.append(file_path)
 
@@ -92,6 +130,9 @@ def parse_multitemporal_gtiff_to_format(input_tiff, input_metadata, output_dir,
     if len(bands_dimensions) == 0:
         bands_dimensions = [{"name": "bands", "type": "bands", "labels": ["results"]}]
 
+    # if len(time_dimensions) == 0:
+    #     time_dimensions = [{"name": "t", "type": "temporal", "labels": [""]}]
+
     check_dimensions(time_dimensions, bands_dimensions)
 
     list_of_timestamps, list_of_timestamp_arrays = get_timestamps_arrays(