Merge pull request #1106 from mohi9282/v191_release

Update items_metadata.yaml

Author: Atma Mani

items_metadata.yaml

@@ -852,6 +852,34 @@ samples:
 #   licenseInfo: ""
 #   runtime: advanced
 #   tags: ["Data Science", "GIS", "Site Suitability", "Raster Analysis"]
+# - title: Coastline classification using Feature Classifier
+#   url: https://www.arcgis.com/home/item.html?id=9ef3ab6a0bde44e5bcbe68b165b8e6dd
+#   path: ./samples/04_gis_analysts_data_scientists/coastline_classification_using_feature_classifier.ipynb
+#   thumbnail: ./static/thumbnails/default.png
+#   snippet: In this sample notebook, we will see how we can classify these coastlines in the categories mentioned in figure 1, by training a Feature Classifier model.
+#   description: In this sample notebook, we will see how we can classify these coastlines in the categories mentioned in figure 1, by training a Feature Classifier model.
+#   licenseInfo: ""
+#   runtime: advanced
+#   tags: ["Data Science", "GIS", "Site Suitability", "Raster Analysis"]
+# - title: Wildlife Species Identification in Camera Trap Images
+#   url: https://www.arcgis.com/home/item.html?id=aa06b3add8e143e08014a9a7a5d2c94b
+#   path: ./samples/04_gis_analysts_data_scientists/wildlife_species_identification_in_camera_trap_images.ipynb
+#   thumbnail: ./static/thumbnails/default.png
+#   snippet: This notebook will showcase a workflow to classify animal species in camera trap images.
+#   description: This notebook will showcase a workflow to classify animal species in camera trap images.
+#   licenseInfo: ""
+#   runtime: advanced
+#   tags: ["Data Science", "GIS", "Site Suitability", "Raster Analysis"]
+# - title: Detecting deforestation in the Amazon rainforest using unsupervised K-means clustering on satellite imagery
+#   url: https://www.arcgis.com/home/item.html?id=cd3d2c1b7f4047f98bf07beb10ee2016
+#   path: ./samples/04_gis_analysts_data_scientists/detecting-deforestation-using-kmeans-clustering-on-sentinel-imagery.ipynb
+#   thumbnail: ./static/thumbnails/default.png
+#   snippet: This notebook will allow us to detect deforested areas in the Brazilian Amazon rainforest, using satellite imagery.
+#   description: This notebook will allow us to detect deforested areas in the Brazilian Amazon rainforest, using satellite imagery.
+#   licenseInfo: ""
+#   runtime: advanced
+#   tags: ["Data Science", "GIS", "Site Suitability", "Raster Analysis"]
+
 guides: []
 labs:
 - title: Create Data