Point cloud derivative products are produced using what type of sensor?

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Point cloud derivative products are spatial data representations that depict the external shape and characteristics of objects and environments in a three-dimensional space. These products can be generated using both active and passive sensors, which is why the correct choice is that either type can be utilized.

Active sensors, such as LiDAR (Light Detection and Ranging), emit their own energy (laser beams) and measure the time it takes for the emitted signal to return after bouncing off an object. This capability allows for the precise collection of distance information, which is fundamental in creating point clouds that accurately represent the scanned environment.

On the other hand, passive sensors, like photogrammetric cameras, rely on ambient light to capture images or data. Through techniques such as image processing and stereo-vision, these sensors can also generate point clouds by analyzing spatial relationships and perspectives from captured images.

This versatility in sensor use enables the creation of detailed and accurate point cloud data from a range of platforms and conditions, affirming that both active and passive sensors are essential for producing point cloud derivative products.

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