Laser scanning from UAVs (Uncrewed Aerial Vehicles) has evolved over the past decade. Initially, the weight of classic airborne laser scanning systems was reduced to under 5 kg, enabling their integration into powerful UAVs around 2015. These systems are designed for close-range mapping with high accuracy and spatial resolution, featuring high-quality components for scanning, ranging, and navigation, including satellite navigation systems and inertial measurement units (IMU). These state-of-the-art devices deliver the highest accuracy but are expensive, with a price of around EUR 100K. Advances in autonomous driving have increased demand for low-cost LiDAR sensors for use in driver assistance systems. Consequently, scanners with moderate accuracy are now mass-produced. But they are also increasingly used for mapping on UAVs, typically with cheaper components, resulting in sensors priced around 20K EUR. In addition to the classic high-end systems, newer low-cost variants are emerging. They employ three scanner concepts: (i) solid state LiDAR, (ii) multi-line profile scanners, and (iii) hybrid systems with classical beam deflection using multiple lasers and receiver diodes. The presentation will cover the basic concepts of various UAV laser sensors, illustrated with practical examples and 3D point clouds captured by different systems. It will highlight the pros and cons of survey-and consumer-grade sensors by showing data of topography, vegetation, and power line networks.