diff --git a/docs/build/html/notebooks/region_of_interest.ipynb b/docs/build/html/notebooks/region_of_interest.ipynb
index 94da4c481ab4556fedb26e4017254f9b23233713..87cab552f858837445ff4e69c82675061f080942 100755
--- a/docs/build/html/notebooks/region_of_interest.ipynb
+++ b/docs/build/html/notebooks/region_of_interest.ipynb
@@ -30,7 +30,9 @@
     "from IPython.display import display\n",
     "\n",
     "print('All libraries successfully imported!')\n",
-    "print(f'GeoPandas : {gpd.__version__}')"
+    "print(f'GeoPandas : {gpd.__version__}')\n",
+    "\n",
+    "print('TEST')"
    ]
   },
   {
@@ -317,7 +319,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
diff --git a/docs/source/classification/in_situ_preparation.ipynb b/docs/source/classification/in_situ_preparation.ipynb
index fc8d5aa3f33414f880e38f2c2d194a45440de473..e309961bf15f14ed7ddf9146161171b70fa0f0dd 100755
--- a/docs/source/classification/in_situ_preparation.ipynb
+++ b/docs/source/classification/in_situ_preparation.ipynb
@@ -141,15 +141,16 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "computer_path = '/export/miro/ndeffense/LBRAT2104/'\n",
+    "computer_path = 'X:/'\n",
     "grp_nb        = '99'\n",
     "\n",
     "# Directory for all work files\n",
-    "work_path = f'{computer_path}STUDENTS/GROUP_{grp_nb}/TP/'\n",
+    "work_path = f'{computer_path}STUDENTS/GROUP_{grp_nb}/'\n",
+    "data_path = f'{work_path}data/'\n",
     "\n",
     "reflectance_path = f'{work_path}3_L2A_MASKED/'\n",
     "\n",
-    "in_situ_path = f'{work_path}A_IN_SITU/'\n",
+    "in_situ_path = f'{data_path}A_IN_SITU/'\n",
     "in_situ_prepro_path = f'{work_path}B_IN_SITU_PREPRO/'\n",
     "\n",
     "Path(in_situ_prepro_path).mkdir(parents=True, exist_ok=True)\n"
diff --git a/docs/source/classification/in_situ_split_cal_val.ipynb b/docs/source/classification/in_situ_split_cal_val.ipynb
index 50c1b7ea985ac5c0874d3e203af51079f76a3eaa..b2cee7789773e84ce9405ac5b2e80b1062eff33f 100644
--- a/docs/source/classification/in_situ_split_cal_val.ipynb
+++ b/docs/source/classification/in_situ_split_cal_val.ipynb
@@ -41,11 +41,11 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "computer_path = '/export/miro/ndeffense/LBRAT2104/'\n",
+    "computer_path = 'X:/'\n",
     "grp_nb        = '99'\n",
     "\n",
     "# Directory for all work files\n",
-    "work_path = f'{computer_path}STUDENTS/GROUP_{grp_nb}/TP/'\n",
+    "work_path = f'{computer_path}STUDENTS/GROUP_{grp_nb}/'\n",
     "\n",
     "in_situ_prepro_path  = f'{work_path}B_IN_SITU_PREPRO/'\n",
     "in_situ_cal_val_path = f'{work_path}C_IN_SITU_CAL_VAL/'\n",
diff --git a/docs/source/classification/random_forest_classification.ipynb b/docs/source/classification/random_forest_classification.ipynb
index ddc0d65774d4fd52e9a6641fc466fbb01cb15eb8..f343c076bff9dc422ee182edd798203ded834bf1 100755
--- a/docs/source/classification/random_forest_classification.ipynb
+++ b/docs/source/classification/random_forest_classification.ipynb
@@ -100,11 +100,11 @@
     }
    ],
    "source": [
-    "computer_path = '/export/miro/ndeffense/LBRAT2104/'\n",
+    "computer_path = 'X:/'\n",
     "grp_nb        = '99'\n",
     "\n",
     "data_path = f'{computer_path}data/'                        # Directory with data shared by the assistant\n",
-    "work_path = f'{computer_path}STUDENTS/GROUP_{grp_nb}/TP/'  # Directory for all work files\n",
+    "work_path = f'{computer_path}STUDENTS/GROUP_{grp_nb}/'  # Directory for all work files\n",
     "\n",
     "# Input directories\n",
     "in_situ_path = f'{work_path}C_IN_SITU_CAL_VAL/'\n",
diff --git a/docs/source/classification/validation.ipynb b/docs/source/classification/validation.ipynb
index 2d9700eeee36d4bab5cfde898d2cd0c2418e3c76..4d715cd53fadd03f8f2fa37a61faaea762ab1a1d 100755
--- a/docs/source/classification/validation.ipynb
+++ b/docs/source/classification/validation.ipynb
@@ -190,11 +190,11 @@
     }
    ],
    "source": [
-    "computer_path = '/export/miro/ndeffense/LBRAT2104/'\n",
+    "computer_path = 'X:/'\n",
     "grp_nb        = '99'\n",
     "\n",
     "data_path = f'{computer_path}data/'                        # Directory with data shared by the assistant\n",
-    "work_path = f'{computer_path}STUDENTS/GROUP_{grp_nb}/TP/'  # Directory for all work files\n",
+    "work_path = f'{computer_path}STUDENTS/GROUP_{grp_nb}/'  # Directory for all work files\n",
     "\n",
     "# Input directories\n",
     "in_situ_path = f'{work_path}C_IN_SITU_CAL_VAL/'\n",
diff --git a/docs/source/sentinel_2/s2_spectral_indices.ipynb b/docs/source/sentinel_2/s2_spectral_indices.ipynb
index fe602cb4d1e3aeb80da0e686053cd2e62824c031..ab7fa96bb2ba93e027c25f6c8a6caa10133b9862 100755
--- a/docs/source/sentinel_2/s2_spectral_indices.ipynb
+++ b/docs/source/sentinel_2/s2_spectral_indices.ipynb
@@ -139,7 +139,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "computer_path = '/export/miro/ndeffense/LBRAT2104/'\n",
+    "computer_path = 'X:/'\n",
     "grp_nb        = '99'\n",
     "\n",
     "# Directory for all work files\n",
diff --git a/docs/source/zonal_stats/zonal_stats_continuous.ipynb b/docs/source/zonal_stats/zonal_stats_continuous.ipynb
index 558dccf9ff65d994d2bd4435a1bf4b36fd6002b9..cebde6ff3a6765ffd2ba19fbfccd034bbf1f78c6 100755
--- a/docs/source/zonal_stats/zonal_stats_continuous.ipynb
+++ b/docs/source/zonal_stats/zonal_stats_continuous.ipynb
@@ -217,11 +217,11 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "computer_path = '/export/miro/ndeffense/LBRAT2104/'\n",
+    "computer_path = 'X:/'\n",
     "grp_nb        = '99'\n",
     "\n",
     "# Directory for all work files\n",
-    "work_path = f'{computer_path}STUDENTS/GROUP_{grp_nb}/TP/'  # Directory for all work files\n",
+    "work_path = f'{computer_path}STUDENTS/GROUP_{grp_nb}/'  # Directory for all work files\n",
     "\n",
     "\n",
     "# Rasters files directory\n",