small openEO part 3 restructuring: advanced workflows is covered by p…

…art 2

tutorial/_toc.yml

@@ -54,8 +54,6 @@ parts:
     title: Advanced OpenEO (UDF)
   - file: part3/advanced_ufunc
     title: Advanced OpenEO (Ufunc)
-  - file: part3/advanced_workflow
-    title: Advanced OpenEO (Workflow)
 
 - caption: Beyond the workshop
   chapters:

tutorial/part3/advanced_udf.ipynb

@@ -3,7 +3,32 @@
   {
    "cell_type": "markdown",
    "source": [
-    "# OpenEO - User Defined Functions"
+    "# OpenEO - User Defined Functions\n",
+    "\n",
+    "\n",
+    "The openEO user defined functions (UDF's), provide a way to run Pangeo code as part of a larger openEO workflow.\n",
+    "This allows you to get the best of both worlds.\n",
+    "\n",
+    "To understand user defined functions, it is recommended to start here:\n",
+    "\n",
+    "https://open-eo.github.io/openeo-python-client/udf.html\n",
+    "\n",
+    "## Case 1 UDF with machine learning\n",
+    "\n",
+    "Applying deep learning models is one of the most common reason to use UDF's.\n",
+    "\n",
+    "https://github.com/openEOPlatform/parcel-delineation/blob/main/Parcel%20delineation.ipynb\n",
+    "\n",
+    "# Sampling EO data\n",
+    "\n",
+    "When calibrating a model, you often want to work on sample datasets that is representative for the full dataset, without actually having to download petabytes of data.\n",
+    "\n",
+    "Therefore, many users sample EO datasets at various point or polygon locations, which then generates a local archive of netCDF files that can be used\n",
+    "to calibrate a model.\n",
+    "\n",
+    "The local openEO processing support allows to start from samples that are pretty much 'raw' data, so that you also have the ability to change your preprocessing pipeline.\n",
+    "\n",
+    "https://open-eo.github.io/openeo-python-client/cookbook/sampling.html"
    ],
    "metadata": {
     "collapsed": false