Quarto output

notebooks/01_classification.ipynb

@@ -5,7 +5,10 @@
    "metadata": {},
    "source": [
     "# Classification of Sentinel-2 imagery\n",
-    "**Finding forests with satelite imagery**\n"
+    "**Finding forests with satelite imagery**\n",
+    "\n",
+    "## Data Acquisition\n",
+    "In this chapter, we will employ machine learning techniques to classify a scene using satellite imagery. Specifically, we will utilize ``scikit-learn`` to implement two distinct classifiers and subsequently compare their results. To begin, we need to import the following modules.\n"
    ]
   },
   {

notebooks/02_floodmapping.ipynb

@@ -5,7 +5,18 @@
    "metadata": {},
    "source": [
     "# Reverend Bayes updates our Belief in Flood Detection\n",
-    "**How an 275 year old idea helps map the extent of floods**\n"
+    "**How an 275 year old idea helps map the extent of floods**\n",
+    "\n",
+    "![Image from [wikipedia](https://upload.wikimedia.org/wikipedia/commons/d/d4/Thomas_Bayes.gif)](https://upload.wikimedia.org/wikipedia/commons/d/d4/Thomas_Bayes.gif)\n",
+    "\n",
+    "```{eval-rst}\n",
+    ".. note::\n",
+    "\n",
+    "This notebooks contains interactive element. These interactive element can only be viewed on Binder by clicking on the Binder badge or 🚀 button.\n",
+    ".. include:: ./include-rst.rst\n",
+    "```\n",
+    "\n",
+    "\n"
    ]
   },
   {