What strategies can you employ to reduce noise in lidar data collection?
Lidar, which stands for Light Detection and Ranging, is a remote sensing method that uses light in the form of a pulsed laser to measure ranges to the Earth. Data engineers and scientists often face the challenge of noise in lidar data, which can obscure the true signal and reduce the accuracy of measurements. Noise can be introduced from various sources such as atmospheric conditions, technical limitations of the lidar system, or even the movement of the target object. By employing specific strategies to minimize or mitigate this noise, you can enhance the quality of lidar data, leading to more reliable and precise outcomes.