IDL
IDL is a commercial scientific programming language originally created by RSI, and now developed by ITTVIS. It is an array-based language, and provides functionality similar to that of Matlab and Numpy.
It is frequently used for projects in Remote Sensing/Earth Observation and Astrophysics as it is particularly good at image processing, and has a very close integration with ENVI.
For queries about this topic, contact Robin Wilson.
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 ChoiSenior Research Fellow, Geography (FSHS)
Iain WeaverPostgraduate Research Student, Electronics and Computer Science (FPAS)
Robin WilsonPostgraduate Research Student, Geography (FSHS)
Petrina ButlerAdministrative Staff, Research and Innovation Services