Producing Geographic Datasets
The Housing Development Data (HDD) project was concerned with the development of datasets that document housing development across 32 Local Government Areas (LGAs) in the Melbourne Metropolitan area. Preparation of the HDD data involved identifying changes in housing stock over a 12-month period and producing two types of geographic datasets.read more
Can machine-learning be used to identify occupied ground surface car spaces?
The School of Global, Urban and Social Studies (GUSS) within RMIT University recently undertook a pilot project to determine the feasibility of using machine-learning ability to identify occupied ground surface car spaces using aerial photography (NearMap) and satellite imagery from Sentinel-2.
Utilising NDVI in Farming
Normalised Difference Vegetation Index or NDVI is a method of determining crop health by measuring how well the crop reflects light. Images can be capture via satellite, aircrafts or UAVs. NDVI is a particularly useful tool for farmers and agronomists, because it helps them to easily view track their crop or pasture performance.