Nowadays in modern era, electric energy has been primary needed in our daily activities.Transmission powerline is important part to transmit electricity in powerline system. The safety of powerline infrastructure significantly affects to our everyday life and industrial activities. There are many factors and objects to threaten powerline safety, which includes encroaching vegetation, surrounding trees, surrounding building, structural faults of insulator, tower and so on. A timely and accurate monitoring of those keys, powerlines features enables to prevent causing possible dangerous situation such as blackout.At present, most of utility firms such as PT.PLN heavily relies on men-centric and manual powerline monitoring methods which are time consuming and costly, moreover hazardous. Recently, airborne LiDAR system was introduced as a cost effective data acquisition tool which enables to rapidly capture 3D powerline scene with up to 30 points/m2. This study aims at 3D reconstruction workflow for powerline extracted from airborne LiDAR data of 150 kV transmission line corridors (2000 m by 600 m) in Gowa, South Sulawesi Province, Indonesia.The proposed workflow consists of three components: detection, extraction, and modelling. The powerlines are automatically detected with regular geometric shape using a set of algorithms, including Vertical Spacing Filtering and density-based filtering. The complete powerlines are then extracted using Hough Transform method. Finally, the 3D powerline are reconstructed to evaluate the proposed workflow for danger objects detection according to SNI 04-6918-2002 about the Indonesian standard rule for minimum distance in horizontal and vertical space in the powerline corridor. The results obtained demonstrate that powerlines can be reconstructed in 3D, which are useful in detection of danger objects to support powerline corridor management.