STEM2003 Airborne Remote Sensing and Photogrammetry

2019

4.5

1 x 2-hour lecture weekly
1 x 3-hour computer lab weekly

STEM8006 has been successfully completed

Report, Test(s)

This topic will allow students to design an airborne mission for a Remotely Piloted Aircraft (RPA) or manned aircraft, fitted with a coloured metric camera or multispectral camera and using photogrammetry, create an orthometric image and Digital Surface Model (DSM). Students are taught elements of image interpretation; radiometric, spatial and spectral enhancement techniques; change detection analysis and supervised and unsupervised classification. Students will also process either thermal imagery or a LIDAR point cloud in a self-directed project. The topic will also teach students the reflective and emissive properties of materials and some of the techniques and applications used to detect plant vigour, animals/people, classify land/features and map change including disturbances like pollution, clearing or fire.

The aim of this topic is to allow students to be proficient in the design of an airborne mission for a Remotely Piloted Aircraft or manned aircraft and process the imagery to create an orthometric image and a Digital Surface Model (DSM) Separately, students analyse and process either thermal imagery or a LIDAR point cloud.

On completion of this topic, students will be expected to be able to:

1. Design an airborne mission for a Remotely Piloted Aircraft or manned aircraft fitted with a coloured metric camera or multispectral camera and apply photogrammetric post-processing to produce an orthometric image and DSM

2. Correct image content using a geometric and radiometric correction, followed by either band indexing or a classification technique

3. Analyse remotely sensed data

4. Identify image classification techniques and thermal object detection

5. Define image orthorectification and identify the steps involved in creating a point cloud and a Digital Surface Model from LIDAR and photogrammetry

6. Process either thermal imagery or a LIDAR point cloud

7. Identify the principal concepts of RADAR and LIDAR remote sensing and their use in a range of applications

8. Successfully communicate the results of image analysis in remote sensing

9. Produce written work in accordance with good scholarly practice.