Measuring vegetation height in linear disturbances in the boreal forest with UAV photogrammetry
Description: In this study, we developed a simple method to estimate vegetation height from UAV (Unmanned Aerial Vehicles)-based photogrammetric point clouds alone on regenerating boreal forests that were disturbed due to oil exploration. We compared the accuracy and cost of this method with using two other methods: one is combining UAV_based photogrammetric point clouds and terrain measurements from a real-time kinematic global navigation satellite system (RTK GNSS) surveys, the other one is combining UAV_based photogrammetric point clouds and pre-existing LiDAR (Light Detection and Ranging) data. We found that using the simple method that using UAV-based photogrammetric point clouds alone is the most accurate method at site level and the most cost-effective method.
Publications: Chen, S., McDermid, G.J., Castilla, G. and Linke, J., 2017. Measuring vegetation height in linear disturbances in the boreal forest with UAV photogrammetry. Remote sensing, 9(12), p.1257. [codes]
