Accurate estimates of chlorophyll a and other algal pigments are required to validate, train and parameterise data driven and deterministic models for reliable prediction of future algal bloom events and potential species. We are increasingly able to monitor at high spectral resolution from space (e.g. EMIT, Prisma), drones (imaging spectrometers) and in situ devices (e.g. HydraSpectra). We are interested to hear from students who are using data from a range of sources (including radiative transfer modelling), implementing physics based and data driven approaches to algorithms, and validating results using acquisitions of new data (drone, Hydraspectra, satellite). The student may also be exploring the translation of results to multispectral satellite data.
To be eligible to apply you must have (or expect to gain):
* International applicants must be residing in Australia and have the appropriate immigration approvals to allow them to take up the scholarship.
How to apply:
You will be required to: