diff --git a/Hunka_2024_NSD/NOTES_data_download_and_preprocessing.ipynb b/Hunka_2024_NSD/NOTES_data_download_and_preprocessing.ipynb
index f819feb979e093cf8f19fa5c44d44b383da9753a..140964a485e98d44cbb9d2bee51b65b05e998ef2 100644
--- a/Hunka_2024_NSD/NOTES_data_download_and_preprocessing.ipynb
+++ b/Hunka_2024_NSD/NOTES_data_download_and_preprocessing.ipynb
@@ -404,7 +404,7 @@
    "source": [
     "### HOW TO HANDLE MISSING TILES\n",
     "\n",
-    "#### All sourced input datasets might not contain the every 10 x 10 degree tile to cover the entire globe. For example, the Primary Humid Tropical Forest layer is provided only for the tropics. As such, for missing tiles, psuedo layers with 0 values are created to cover the entire surface of the earth. These pseudo layers ensure that the forest classification can run without returning errors for any 10 x 10 degree tile in the world.\n",
+    "#### All sourced input datasets might not contain the every 10 x 10 degree tile to cover the entire globe. For example, the Primary Humid Tropical Forest layer is provided only for the tropics. As such, for missing tiles, psuedo layers with 0 values are created to cover the entire land surface of the earth. These pseudo layers ensure that the forest classification can run without returning errors for any 10 x 10 degree tile in the world.\n",
     "\n",
     "#### Below is an example of such layers created for where the JRC Tropcal maps have no detected degradation"
    ]