The Research Team

The Remote Sensing team sits within CSIRO’s Oceans and Atmosphere Flagship in the Coasts Program.

Janet Anstee

Aquatic Remote Sensing Team Lead

  • Janet Anstee is a Senior Experimental Scientist. Her current research is in the application of validated bio-optical models to enable improved discrimination of aquatic water quality and habitat (where optically shallow). Additionally, she works with CSIRO Land and Water with Remote sensing integration into Hydrodynamic models for forecasting in Australia but with global applicability.

Phillip Ford

Honorary Research Fellow

  • Philip Ford is an Honorary Research Fellow affiliated with the Aquatic Sensing team. Dr Ford has extensive research experience in the interplay between physical, chemical, and biological processes in rivers, lakes and weirs, reservoirs, estuaries and coastal seas. The underlying aim is to understand quantitatively phytoplankton abundance and the factors conducive to the dominance of potentially toxic cyanobacterial species. Phytoplankton carbon fixation is a key element in the carbon cycle in all aquatic systems. Thus, the operation of the carbon cycle involving inorganic and organic carbon species in particulate and dissolved forms, as well as the sources and cycling of essential nutrients is the second, major focus of his work. Practical outcomes of this work include the measurement of fluxes of the two most important “Greenhouse” gases (CO2 and CH4), and the application of optical techniques at a range of scales to understand the aquatic biogeochemistry of aquatic environments. The present focus of his work in the Aquatic Remote sensing team is generating data to underpin the calibration and validation of mathematical models predicting toxic algal abundance.

Research Scientist

  • Yi Qin's current research focus is on the retrieval of atmosphere, ocean and land surface properties, including aerosols, clouds, surface reflectance, Bidirectional reflectance distribution function (BRDF), surface solar irradiance and coastal biomass, using a range of geostationary and low earth orbiting remote sensors, including multi/hyperspectral remote sensors and space-borne LiDAR systems. Dr Qin has strong expertise and interests in radiative transfer and its applications in remote sensing data analysing and remote sensor calibrations. Yi is leading the development of advanced multi-satellite and integrated retrieval methods and operational processing systems, to create a range of high-quality remote sensing products, exploiting advanced computing technologies. Yi’s other work includes developing an operational processing system for the analysing and visualization of long-term aquatic in-situ observations and applications of remote sensing products. For example, solar energy forecasting and the health impacts of airborne particulate matters. Yi is also interested in developing multi-GEO / multi-LEO inter-calibration leading to global radiometric consistency among the GEO/LEO remote sensors.

Senior Research Scientist

  • Dr Thomas Schroeder has 15+ years experience in the development of remote sensing applications for the retrieval of oceanic, terrestrial and atmospheric properties from air- and space-borne instruments. In his current research he focuses on the development, validation and implementation of dedicated ocean colour inversion algorithms for Australia's coastal and marine ecosystems using multi- and hyper-spectral satellite data to enable reliable mapping, detection and monitoring of aquatic resources. Further to this, he is progressing new strategic research directions in the area of geostationary and radar satellite applications for high-temporal coastal monitoring and the detection of hydro-carbon pollution. Dr Thomas Schroeder is also advancing in-situ bio-optical and radiometric observations for satellite validation under IMOS where he leads the IMOS Ocean Colour Sub-facility and manages the Lucinda Jetty Coastal Observatory. Measurements from this facility are used to inform international space agencies on the accuracy of marine satellite products.

Research Scientist

  • Prior to joining the CSIRO's Aquatic Remote Sensing team David has worked at Charles Darwin University (RIEL), CSIRO Canberra, in the UK (Plymouth Marine Laboratory) and in France (CNRS) where he contributed to a variety of projects on the water quality of Northern Australia tropical waters, the Great Barrier Reef, the North Atlantic and the Mediterranean Sea. David's primary research focuses on marine bio-optics and the use of satellite datasets for marine water quality monitoring (e.g. algal blooms) and hydrocarbon oil pollution (oil spills) detection. A particular interest is the synergistic use of the Synthetic Aperture Radar (SAR) and optical, and thermal satellite datasets from the European Space Agency's Sentinel missions, to better understand the marine environment.

PhD Student

  • Larissa is an oceanographer, specialised in ocean colour remote sensing. She is currently doing her Ph.D at James Cook University, affiliated with CSIRO Aquatic Remote Sensing Group. Her Ph.D research is focused on developing and validating an advanced ocean colour algorithm for retrieving water quality parameters with the meteorological observations of Himawari-8 geostationary satellite sensor. Although Himawari-8 is not specifically designed for ocean observation, it scans a full disk of East-Asia and Australia every 10 minutes. The application of the validated ocean colour algorithm on Himawari-8 observations is expected to improve the current capabilities of monitoring water quality over the coastal Great Barrier Reef, especially during flood events. During her Ph.D she developed interest in coupled ocean-atmosphere radiative transfer modelling, advanced inversion methods with neural networks and coastal water quality monitoring. Larissa has also experience with ocean currents feature detection from satellite derived sea surface temperature fields, acquisition and laboratorial analysis of bio-optical and radiometric data and the parameterization of empirical and semi-analytical algorithms for ocean color remote sensing.

Research Scientist

  • Hannelie is a remote sensing scientist with expertise in environmental remote sensing, hyperspectral radiative transfer modelling and the application of remote sensing solutions to environmental management problems. She has been involved in environmental remote sensing applications and settings ranging from coral reef, coastal and estuarine habitats to inland water bodies, rangelands and agricultural land. Hannelie’s current work focuses on the application of optical models to multispectral satellite data to discriminate marine habitat and benthic substratum type in optically shallow coral reef and coastal waters and the assessment of water quality in marine and fresh water environments.

Research Scientist

  • Dr Nagur Cherukuru is a research scientist with the Coasts Program in CSIRO's Oceans and Atmosphere Flagship. His research focuses on bio-optical investigations of particulate and dissolved substances in aquatic media, underwater light climate modelling and remote sensing algorithm development for inland, coastal and oceanic environments.

Nathan Drayson

Experimental Scientist

  • Nathan is an Experimental Scientist. He is currently working on the validation of bio-optical models used to predict water quality in Australia. Nathan is part of a field-team establishing a nationally applicable database of in situ bio-optical measurements of Australian waterbodies. Nathan has a keen interest in applications of remote sensing in environmental data science.

Research Technician

  • Gemma is a Research Technician specialising in bio-optical field measurements and instrumentation maintenance. She is part of a field crew establishing a nationally applicable database of in situ bio-optical measurements of inland waterbodies in Australia which are used towards developing the relationships between water quality parameters and satellite imagery. Gemma has a passion for aquatic environments and has a keen interest in remote sensing for water quality monitoring applications