{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/56705e495d324d479b53ae534217ed4e\" frameborder=\"0\" width=\"1718\" height=\"1288\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1288,"width":1718,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1288,"thumbnail_width":1718,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/56705e495d324d479b53ae534217ed4e-351394ccfe39dc4d.gif","duration":392.118,"title":"Elevating Point Visualization in OverRender 🌄","description":"In this video, I present the elevation feature for point visualization in OverRender, which allows us to create a detailed elevation map from point cloud data. I demonstrate how to analyze the dataset for elevation extremes, identifying the lowest point at 210 meters and the highest at 233 meters. I explain how to define color intervals for better terrain understanding, starting with a rough example of every 10 meters. I also show how to import a CSV file for more precise color coding. I encourage viewers to explore these features to enhance their data visualization."}