COURSE OVERVIEW

This practical and highly-interactive course includes various practical sessions and exercises. Theory learnt will be applied using our state-of-the-art simulators. 

This course is designed to provide participants with a detailed and up-to-date overview of Seeing from Above: Remote Sensing & Photogrammetry. It covers the sensor types and platforms and the principles of aerial photogrammetry; the image acquisition and preprocessing, image interpretation and data sources and acquisition methods; the image enhancement and transformation covering contrast enhancement and histogram stretching, band math, principal component analysis and tasseled cap transformation; and the image classification techniques, training sample selection and validation, machine learning approaches and post-classification smoothing and accuracy assessment. 

 

During this interactive course, participants will learn the change detection and time-series analysis, structure from motion (SfM) photogrammetry and digital elevation models (DEM, DSM, DTM); the 3D modeling and visualization, integration with geographic information systems (GIS) and applications of remote sensing and photogrammetry; the UAV platforms and payload selection, RTK and PPK accuracy enhancement, data handling and post-processing; the ground truthing and GPS validation, confusion matrix and kappa statistics; the DEM vertical accuracy assessment and legal, ethical and policy considerations covering UAV regulations and airspace laws, data privacy and sensitive information, licensing and copyright of imagery and ethical issues in surveillance and monitoring.