Computational Modelling Group

Earth Observation

This topic consists of research on analysing and processing data from Earth Observation systems, typically satellite and airborne imagery platforms. One particular area of focus is atmospheric correction techniques, which aim to remove the effect of the atmosphere on satellite and airborne imagery. Analysis of the efficacy of these correction techniques can involve significant computer modelling, data assimilation and statistical visualisation.

Much other research within Earth Observation/Remote Sensing involves significant computer modelling, often including the processing of extremely large datasets.

Software which is frequently used in Earth Observation research includes ENVI (a remote sensing data processing package), IDL (a scientific programming language linked with ENVI) and Erdas Imagine (another remote sensing data processing package).

For queries about this topic, contact Robin Wilson.

View the calendar of events relating to this topic.

Projects

Automated selection of suitable atmospheric calibration sites for satellite imagery

Robin Wilson (Investigator)

Ground calibration targets (GCTs) play a vital role in atmospheric correction of satellite sensor data in the optical region, but selecting suitable targets is a subjective and time- consuming task. This project is developing methods to automatically select suitable GCTs, using a combination of remotely sensed multispectral and topographic data.

The application of automated pattern metrics to surface moisture influences on modelled dune field development

Robin Wilson, Joanna Nield (Investigators)

Areas of sand dunes (known as dunefields) develop complex patterns over time. These are influenced by both the past and present environmental conditions, including surface moisture, vegetation distribution and human impact. This project develops a method of automated pattern analysis which allow the patterns produced by a large number of sand dune evolution simulations (performed using the DECAL model) to be quantified over time.

People

Reno Choi
Senior Research Fellow, Geography (FSHS)
Lyuboslav Petrov
Postgraduate Research Student, Electronics and Computer Science (FPAS)
Maike Sonnewald
Postgraduate Research Student, Electronics and Computer Science (FPAS)
Johannes Van Der Horst
Postgraduate Research Student, Electronics and Computer Science (FPAS)
Robin Wilson
Postgraduate Research Student, Geography (FSHS)
Petrina Butler
Administrative Staff, Research and Innovation Services