updated with samples merged after 2020-12-08
" * Adds [Classification of Raw Point Clouds using Deep Learning & generating 3D Building Models](https://developers.arcgis.com/python/sample-notebooks/classification-of-raw-point-clouds-using-deep-learning-&-generating-3d-building_models)\n",
" * Adds [Prediction of energy generation from Solar Photovoltaic Power Plants using weather variables](https://developers.arcgis.com/python/sample-notebooks/solar-energy-prediction-using-weather-variables)\n",
" * Adds [Detection of electric utility features and vegetation encroachments from satellite images using deep learning](https://developers.arcgis.com/python/sample-notebooks/detection-of-electric-utility-features-and-vegetation-encroachments-from-satellite-images-using-deep-learning)\n",
- " * Adds [River Turbidity Estimation using Sentinel-2 data](https://developers.arcgis.com/python/sample-notebooks/river-turbidity-estimation-using-sentinel2-data-)"
+ " * Adds [River Turbidity Estimation using Sentinel-2 data](https://developers.arcgis.com/python/sample-notebooks/river-turbidity-estimation-using-sentinel2-data-)\n",
+ " * Adds [Mapping Infrastructural Damage due to Beirut Blast](https://developers.arcgis.com/python/sample-notebooks/infrastructural-damage-due-to-blast-in-beirut)\n",
+ " * Adds [Coastline extraction using Landsat-8 multispectral imagery and band ratio technique](coastline-extraction-usa-landsat8-multispectral-imagery)"
]
},
{
