diff --git a/src/xsar/base_dataset.py b/src/xsar/base_dataset.py
index b774aa60..4791df14 100644
--- a/src/xsar/base_dataset.py
+++ b/src/xsar/base_dataset.py
@@ -1,3 +1,4 @@
+import pdb
 import warnings
 from abc import ABC
 from datetime import datetime
@@ -300,10 +301,12 @@ def _local_gcps(self):
         #     lon_s = lon_s.values
         #     lat_s = lat_s.values
         cpt = 0
-        for line in line_decimated:
-            for sample in sample_decimated:
+        for line in line_decimated.astype(int):
+            for sample in sample_decimated.astype(int):
                 irow = np.argmin(np.abs(self.dataset.line.values - line))
+                irow = int(irow)
                 icol = np.argmin(np.abs(self.dataset.sample.values - sample))
+                icol = int(icol)
                 # if self.s1meta.product == 'SLC':
                 #     #lon, lat = self.coords2ll_SLC(line,sample)
                 #     lon = lon_s[cpt]
diff --git a/src/xsar/radarsat2_dataset.py b/src/xsar/radarsat2_dataset.py
index a1808a8e..e0001bfd 100644
--- a/src/xsar/radarsat2_dataset.py
+++ b/src/xsar/radarsat2_dataset.py
@@ -184,7 +184,7 @@ def __init__(self, dataset_id, resolution=None,
         # dataset no-pol template for function evaluation on coordinates (*no* values used)
         # what's matter here is the shape of the image, not the values.
         with warnings.catch_warnings():
-            warnings.simplefilter("ignore", np.ComplexWarning)
+            # warnings.simplefilter("ignore", np.ComplexWarning)
             self._da_tmpl = xr.DataArray(
                 dask.array.empty_like(
                     self._dataset.digital_number.isel(pol=0).drop('pol'),
diff --git a/src/xsar/rcm_dataset.py b/src/xsar/rcm_dataset.py
index 339c0fab..cd175f4c 100644
--- a/src/xsar/rcm_dataset.py
+++ b/src/xsar/rcm_dataset.py
@@ -176,7 +176,7 @@ def __init__(self, dataset_id, resolution=None,
         # dataset no-pol template for function evaluation on coordinates (*no* values used)
         # what's matter here is the shape of the image, not the values.
         with warnings.catch_warnings():
-            warnings.simplefilter("ignore", np.ComplexWarning)
+            # warnings.simplefilter("ignore", np.ComplexWarning)
             self._da_tmpl = xr.DataArray(
                 dask.array.empty_like(
                     self._dataset.digital_number.isel(pol=0).drop('pol'),
diff --git a/src/xsar/sentinel1_dataset.py b/src/xsar/sentinel1_dataset.py
index 84262e26..cae70979 100644
--- a/src/xsar/sentinel1_dataset.py
+++ b/src/xsar/sentinel1_dataset.py
@@ -250,7 +250,7 @@ def __init__(self, dataset_id, resolution=None,
         # dataset no-pol template for function evaluation on coordinates (*no* values used)
         # what's matter here is the shape of the image, not the values.
         with warnings.catch_warnings():
-            warnings.simplefilter("ignore", np.ComplexWarning)
+            # warnings.simplefilter("ignore", np.ComplexWarning) # deprecated in numpy>=2.0.0
             if self.sar_meta._bursts['burst'].size != 0:
                 # SLC TOPS, tune the high res grid because of bursts overlapping
                 # line_time = self._burst_azitime