clean assignments

Author: ElcoK

TAA1/tutorial.ipynb

@@ -7,7 +7,7 @@
     "tags": []
    },
    "source": [
-    "# Tutorial 1: Land-cover classification\n",
+    "# TAA1: Land-cover classification\n",
     "\n",
     "In this tutorial we are going to explore the power of the **Google Earth Engine** through classifying land-use categories on satelite imagery. In particular, we will focus on supervised classification. Supervised classification refers to the process of using a training dataset with known labels to guide a mathematical classifier in the task of labeling spectral space. They key characteristic is that the training dataset guides (or “supervises”) the labeling.\n",
     "\n",

TAA2/tutorial.ipynb

@@ -5,7 +5,7 @@
    "id": "cbd68ab3-f04b-434f-a956-e730535c9ee5",
    "metadata": {},
    "source": [
-    "## TAA2: Natural Hazard Risk Assessment using public data"
+    "## TAA2: Natural Hazard Risk Assessment using Open Data"
    ]
   },
   {