Update items_metadata.yaml
updated items_metadata
@@ -879,6 +879,42 @@ samples:
# licenseInfo: ""
# runtime: advanced
# tags: ["Data Science", "GIS", "Site Suitability", "Raster Analysis"]
+# - title: Detecting Mussel Farms using Deep Learning
+# url: https://www.arcgis.com/home/item.html?id=ff6e52bfa7714fe89c1345fd3fa9b7c0
+# path: ./samples/04_gis_analysts_data_scientists/detecting_mussel_farms_using_deep_learning.ipynb
+# thumbnail: ./static/thumbnails/default.png
+# snippet: In this notebook, we will train a deep learning model to detect mussel farms in high-resolution imagery of the Ria De Arousa region of Spain.
+# description: In this notebook, we will train a deep learning model to detect mussel farms in high-resolution imagery of the Ria De Arousa region of Spain.
+# licenseInfo: ""
+# runtime: advanced
+# tags: ["Data Science", "GIS", "Site Suitability", "Raster Analysis"]
+# - title: Forecasting Air Temperature in California using ResCNN model
+# url: https://www.arcgis.com/home/item.html?id=ecefff2763404106b87c02ef70123930
+# path: ./samples/04_gis_analysts_data_scientists/forecasting_air_temperature_in_california_using_rescnn_model.ipynb
+# thumbnail: ./static/thumbnails/default.png
+# snippet: In this study, the deep learning TimeSeriesModel from arcgis.learn is used to predict monthly air temperature for two years.
+# description: In this study, the deep learning TimeSeriesModel from arcgis.learn is used to predict monthly air temperature for two years.
+# licenseInfo: ""
+# runtime: advanced
+# tags: ["Data Science", "GIS", "Site Suitability", "Raster Analysis"]
+# - title: Count cars in aerial imagery using deep learning
+# url: https://www.arcgis.com/home/item.html?id=b80e02d207aa43a193601afe2390bf86
+# path: ./samples/04_gis_analysts_data_scientists/count_cars_in_aerial_imagery_using_deep_learning.ipynb
+# thumbnail: ./static/thumbnails/default.png
+# snippet: The pre-trained Car Detection-USA model is used to detect cars in high-resolution drone or aerial imagery.
+# description: The pre-trained Car Detection-USA model is used to detect cars in high-resolution drone or aerial imagery.
+# licenseInfo: ""
+# runtime: advanced
+# tags: ["Data Science", "GIS", "Site Suitability", "Raster Analysis"]
+# - title: Classify land cover to measure shrinking lakes
+# url: https://www.arcgis.com/home/item.html?id=32f8860e155d4f03987b94be876d73c1
+# path: ./samples/04_gis_analysts_data_scientists/measure_shrinking_lakes_using_deep_learning.ipynb
+# thumbnail: ./static/thumbnails/default.png
+# snippet: This sample aims to demonstrate how ArcGIS pre-trained models can be used to generate landcover from imageries of different time periods.
+# description: This sample aims to demonstrate how ArcGIS pre-trained models can be used to generate landcover from imageries of different time periods.
+# licenseInfo: ""
+# runtime: advanced
+# tags: ["Data Science", "GIS", "Site Suitability", "Raster Analysis"]
guides: []
labs:
