This study presents methods and technologies for simulation, modeling and analysis of LIDAR sensors and drones. The properties and characteristics of different models of 3D laser scanners are studied, such as maximum and minimum range and angle of scanning, frequency and resolution of scanning, format of output data. The steps for developing simulation models of a laser scanner and a drone in the Gazebo simulation environment are described. The developed simulations and the parameters of the objects are defined and set according to the studied properties of the existing ones. An approach to scanning airspace with a laser scanner is presented. The essence of the approach is to place a laser scanner pad with a position and orientation so that it scans optimally in the air. LIDAR data is extracted using a robot operating system (ROS) and can be processed through various methods and algorithms to detect drones or moving objects. The purpose of the study is to present an experimental setup for experimental testing of methods for detecting flying objects. Experiments have been conducted to collect LIDAR data and detect a passing object. These experiments were carried out at different flight speeds of the drone, with different trajectories and in different parts of the LIDAR’s range.