Change Detection v1 Jupyter Notebooks Round 3 (planetlabs#156)

* Make before and after observation diagram clearer
* Update list of available subscription IDs to latest feeds that trial users can access
* Fix a spurious character

AN-4649

Author: BradNeuberg

jupyter-notebooks/analytics/user-guide/03_change_detection.ipynb

@@ -22,7 +22,7 @@
     "    \n",
     "> Explore change detection datasets visually and against Planet imagery\n",
     "\n",
-    "4. [4. Change Detections Tip & Cue Tasking](#4.-Change-Detections-Tip-&-Cue-Tasking)\n",
+    "4. [Change Detections Tip & Cue Tasking](#4.-Change-Detections-Tip-&-Cue-Tasking)\n",
     "    \n",
     "> Task high resolution collects using change detections\n"
    ]
@@ -181,10 +181,22 @@
    "outputs": [],
    "source": [
     "# Define the Subscripton UUID\n",
-    "subscription_id = \"PASTE_YOUR_SUBSCRIPTION ID HERE\"\n",
-    "# Example subscription IDs:\n",
-    "#subscription_id = \"635c57d3-b921-453f-8e79-70929e50a470\" # Monthly Building Construction\n",
-    "#subscription_id = \"8869cf69-9596-47ab-8d94-52b94fcf528e\" # Monthly Road Construction\n",
+    "#subscription_id = \"PASTE_YOUR_SUBSCRIPTION ID HERE\"\n",
+    "\n",
+    "# Define the Subscripton UUID\n",
+    "#subscription_id = \"PASTE_YOUR_SUBSCRIPTION ID HERE\"\n",
+    "\n",
+    "# Example subcription IDs:\n",
+    "\n",
+    "# Melbourne, Australia:\n",
+    "subscription_id = \"2f71f34a-c9f0-4348-9c5d-278b1d7a6b02\" # Monthly Road Construction\n",
+    "#subscription_id = \"234e9cb1-49f1-418a-899e-52e4edfd55d4\" # Monthly Building Construction\n",
+    "\n",
+    "# Mckinney City, Texas, USA:\n",
+    "#subscription_id = \"c84d91c5-2d04-4447-a0a6-806b2a297343\" # Monthly Building Construction\n",
+    "\n",
+    "# Old Baldy, New Mexico, USA:\n",
+    "#subscription_id = \"c4ed4a53-dacf-4fa3-8570-5804f67c330b\"\n",
     "\n",
     "# Construct the URL for the Subscription\n",
     "subscription_url = PAA_BASE_URL + 'subscriptions/' + subscription_id\n",
@@ -688,15 +700,15 @@
     "detection_plot = gv.Shape(shape(single_detection['geometry'])).options(padding=3, fill_alpha=0, line_color='red', active_tools=['pan', 'wheel_zoom'])\n",
     "\n",
     "# Format dates\n",
-    "observed_date = single_detection['observed'].strftime('%B, %Y')\n",
     "before_date = single_detection['date_before'].strftime('%B, %Y')\n",
+    "observed_date = single_detection['observed'].strftime('%B, %Y')\n",
     "\n",
     "# Create plots for the imagery\n",
-    "observed_imagery_plot = gv.WMTS(get_mosaic_url(single_detection['source_mosaic_after'])).options(title=observed_date, width=400, height=400)\n",
     "before_imagery_plot = gv.WMTS(get_mosaic_url(single_detection['source_mosaic_before'])).options(title=before_date, width=400, height=400)\n",
+    "observed_imagery_plot = gv.WMTS(get_mosaic_url(single_detection['source_mosaic_after'])).options(title=observed_date, width=400, height=400)\n",
     "\n",
     "# Show the combined plots\n",
-    "detection_plot * (observed_imagery_plot + before_imagery_plot)\n"
+    "detection_plot * (before_imagery_plot + observed_imagery_plot)\n"
    ]
   },
   {