Processing LiDAR Waveforms to Extract Features Accurately
Simon Jones and Mariela Soto-Berelov
Sam Hislop is supported by RMIT as part of the LandFor: Landsat for Forests project (P.4.101). The project team is researching methods to take advantage of the extensive archive of Landsat satellite imagery to model and map disturbance in Victorian forests. By creating an ‘image stack’ from almost 30 years of images, the team can analyse change as a function of time on a pixel by pixel basis. Using a combination of machine learning and user trained multiple lines of evidence, large area disturbance histories will be modelled. Sam’s has government experience in spatial mapping in emergency management.