PhD Student: Olivier Graffeuille. The monitoring of water quality is an important field with impacts on local ecosystems, aquaculture and human health. An efficient way of monitoring water quality is to estimate the concentration of water constituents using remote sensing data, such as satellite data. However, this task is difficult, due to (1) the limited labels available to train models, (2) its ill-posed nature whereby different combinations of water constituents can combine to produce the same optical signal, and (3) the limited transferability of models between water bodies with different characteristics. Our research aims to develop machine learning techniques to overcome these challenges.This project is part of MBIE Taiao Programme https://taiao.ai/.
Supervisors: Assoc Prof Yun Sing Koh, Dr Jorg Wicker, Dr Moritz K Lehmann (Xerra, Waikato).
Keywords: Water Quality, Semi-supervised learning, Transfer Learning