<?xml version="1.0" encoding="UTF-8"?><oembed><type>video</type><version>1.0</version><html>&lt;iframe src=&quot;https://www.loom.com/embed/56705e495d324d479b53ae534217ed4e&quot; frameborder=&quot;0&quot; width=&quot;1718&quot; height=&quot;1288&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1288</height><width>1718</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1288</thumbnail_height><thumbnail_width>1718</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/56705e495d324d479b53ae534217ed4e-351394ccfe39dc4d.gif</thumbnail_url><duration>392.118</duration><title>Elevating Point Visualization in OverRender 🌄</title><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.</description></oembed>