Update notebooks

notebooks/utils.py

@@ -50,7 +50,7 @@ def __init__(self, start_date=datetime(2018, 1, 1), end_date=datetime(2023, 12,
             continuous_update=False,
             readout=True,
             behaviour="drag",
-            layout={"width": "80%", "height": "100px", "margin": "0 auto 0 auto"},
+            layout={"width": "90%", "height": "100px", "margin": "0 auto 0 auto"},
             style={
                 "handle_color": "dodgerblue",
             },
@@ -83,34 +83,13 @@ def show_slider(self):
             """
         )
 
-        # Generate a list of dates for the ticks every 3 months
-        tick_dates = pd.date_range(
-            self.start_date, self.end_date + pd.DateOffset(months=3), freq="5ME"
-        )
-
-        # Create a list of tick labels in the format "Aug 2023"
-        tick_labels = [date.strftime("%b<br>%Y") for date in tick_dates]
-
-        # Calculate the positions of the ticks to align them with the slider
-        total_days = (self.end_date - self.start_date).days
-        tick_positions = [
-            ((date - self.start_date).days / total_days * 100) for date in tick_dates
-        ]
-
-        # Create a text widget to display the tick labels with calculated positions
-        tick_widget_html = "<div style='text-align: center; font-size: 12px; position: relative; width: 86%; height: 20px; margin-top: -20px;'>"
-        for label, position in zip(tick_labels, tick_positions):
-            tick_widget_html += f"<div style='position: absolute; left: {position}%; transform: translateX(-50%);'>{label}</div>"
-        tick_widget_html += "</div>"
-
-        tick_widget = widgets.HTML(
-            value=tick_widget_html, layout={"width": "80%", "margin": "0 auto 0 auto"}
-        )
-
         # Arrange the text widget, interval slider, and tick widget using VBox
         vbox_with_ticks = widgets.VBox(
-            [descr_widget, self.interval_slider, tick_widget],
-            layout={"height": "200px"},
+            [
+                descr_widget,
+                self.interval_slider,
+            ],
+            layout={"height": "150px"},
         )
 
         display(vbox_with_ticks)

notebooks/worldcereal_v1_demo_custom_cropland.ipynb

@@ -38,7 +38,8 @@
    "source": [
     "### Before you start\n",
     "\n",
-    "In order to run WorldCereal crop mapping jobs from this notebook, you need to create an account on the Copernicus Data Space Ecosystem (CDSE) registering [here](https://dataspace.copernicus.eu/). This is free of charge and will grant you a number of free openEO processing credits to continue this demo."
+    "In order to run WorldCereal crop mapping jobs from this notebook, you need to create an account on the [Copernicus Data Space Ecosystem](https://dataspace.copernicus.eu/).\n",
+    "This is free of charge and will grant you a number of free openEO processing credits to continue this demo."
    ]
   },
   {
@@ -100,7 +101,7 @@
     "polygon = map.get_polygon_latlon()\n",
     "\n",
     "# Query our public database of training data\n",
-    "public_df = query_public_extractions(polygon, filter_cropland=False)\n",
+    "public_df = query_public_extractions(polygon, filter_cropland=False, buffer=250000)\n",
     "public_df.year.value_counts()"
    ]
   },
@@ -285,9 +286,8 @@
     "import os\n",
     "from pathlib import Path\n",
     "\n",
-    "# Specify the local directory where the resulting maps should be downloaded to.\n",
-    "run = get_input(\"model run\")\n",
-    "output_dir = Path(os.getcwd()) / f'CROPLAND_{modelname}_{run}'\n",
+    "# The output directory is named after the model\n",
+    "output_dir = Path(os.getcwd()) / f'CROPLAND_{modelname}'\n",
     "print(f\"Output directory: {output_dir}\")"
    ]
   },
@@ -329,6 +329,26 @@
     ")"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# The results contain the openeo job id...\n",
+    "print(f\"Job id: {job_results.job_id}\")\n",
+    "print(f\"Location of metadata: {job_results.metadata}\")\n",
+    "#... a list of products that were downloaded...\n",
+    "print(f\"Products: {job_results.products.keys()}\")\n",
+    "# ... for each product:\n",
+    "print('-- For each product --')\n",
+    "print(f\"Type: {job_results.products['cropland']['type']}\")\n",
+    "print(f\"Temporal extent: {job_results.products['cropland']['temporal_extent']}\")\n",
+    "print(f\"Look-up table: {job_results.products['cropland']['lut']}\")\n",
+    "print(f\"URL: {job_results.products['cropland']['url']}\")\n",
+    "print(f\"Local path: {job_results.products['cropland']['path']}\")"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},