Which type of sensors can be used to generate point cloud derivative products for 3-D models?

The correct answer is that both passive and active sensors can generate point cloud derivative products for 3-D models. Active sensors, such as LiDAR, emit their own signals and measure the time it takes for these signals to bounce back after hitting an object. This process allows for precise distance measurements and the creation of detailed 3-D point clouds.

On the other hand, passive sensors rely on natural sources of light, like sunlight, to capture images and data from the environment. Techniques such as photogrammetry can be employed using these passive sensors, where overlapping photographs taken from different angles are processed to produce point clouds.

Therefore, both types of sensors can effectively contribute to 3-D modeling, highlighting the versatility in data acquisition methods used in this field.