Jeremy Anderson

Jeremy Anderson is Senior Scientist with the Queensland Remote Sensing Centre (Department of Environment and Science). His primary focus is using Earth Observation (EO) data to support initiatives relating to vegetation management. He also has experience using EO data as monitoring and regulatory tools for the oil and gas industry in Queensland. He enjoys developing systems to automate processes, and using EO data together with geographic information systems as a communication tool.

Glen Campbell

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Debbie Chamberlain

PhD candidate in the Remote Sensing Research Centre in the School of Earth and Environmental Sciences at The University of Queensland. My research involves change detection and time series analysis of multi-temporal remote sensing image datasets  particularly as it applies to the Landsat and Sentinel sensors using ArcGIS and ERDAS Imagine routines. I examine spatial and temporal changes in the structure and connectivity of coastal areas in a region that is contingent on significant fishing pressure, the Mackay/Whitsunday Natural Resource Management Region of Central Queensland.


Michael Hewson

Dr Michael Hewson is a CQUniversity teaching and research geographer with broad interests in the application of digital mapping. Michael's research has revolved around the application of weather models (WRF), satellite remote sensing and Geographic Information Systems (GIS) to mapping and modelling aerosol transport, anthropogenic emissions and weather parameters for a range of studies – wind energy economics, epidemiology and ecology applications.


Edward King

Remote sensing has been a common thread throughout Edward's diverse career in academia and CSIRO. Originally, as an astronomer, he used radio-interferometric imaging, but for the past 22 years he has applied satellite Earth Observation in both the optical and infra-red, in the service of Antarctic glaciology, terrestrial biospheres, land use change, hydrological evaporation mapping, ecosystem research, marine water quality assessment and, most recently, physical oceanography and ocean dynamics. Edward has broad experience working with a similarly diverse range of end-user communities: glaciologists, carbon accounting, agriculture, water managers, marine park managers, and institutions ranging from multiple universities (both in Australia and overseas) and state and federal government agencies including the Bureau of Meteorology, Department of Defence, Geoscience Australia, Australian Antarctic Division, the Murray-Darling Basin Authority, National Water Commission and Great Barrier Reef Marine Park Authority.

Edwards interests focus on the application of long time series of national-scale remote sensing collections to problems of National significance.  He is currently the Satellite Remote Sensing Facility Leader for the Integrated Marine Observing System.  He has sought to foster national approaches through his work managing data sets at continental+ scale in ways that serve the widest possible range of needs, for example: national moderate resolution time series from AVHRR, MODIS, MERIS and VIIRS for both TERN and IMOS, and most recently as a CSIRO representative on  the Copernicus Regional Data Hub steering committee.  For 20 years he has actively promoted sharing of data acquired by direct reception stations run by a range of different agencies and institutions in Australia, something that has been adopted de facto by many agencies and most recently formalised through the establishment of the Australian Ground Segment Task Team, affiliated with EOA,  which seeks to actively coordinate the approach.


Arko Lucieer

Arko Lucieer is an Associate Professor in Remote Sensing at The University of Tasmania, Australia. He leads the TerraLuma research group, focusing on the development and application of unmanned aircraft systems (UAS), sensor integration, and image processing techniques for environmental, agricultural, and high-precision aerial mapping applications. Arko teaches remote sensing and GIS at the undergraduate and graduate levels. He obtained his PhD degree in 2004 from the International Institute for Geo-Information Science and Earth Observation (ITC) and Utrecht University in The Netherlands. His current focus is on quantitative remote sensing of vegetation with the use of sophisticated UAS sensors to better understand the structure, distribution, and functioning of vegetation, and to bridge the observational scale gap between field samples and satellite observations.


Zbyněk Malenovský

Zbyněk Malenovský is an Australian Research Council Future Fellow at the University of Tasmania (Australia). He holds PhD in Production Ecology and Resource Conservation (Imaging Spectroscopy and Quantitative Remote Sensing) from the Wageningen University in The Netherlands. He worked as a research scientist at the NASA Goddard Space Flight Centre (USA), the University of Wollongong and the University of Tasmania (AUS), the University of Zürich (CH), the Wageningen University (NL) and the Czech Academy of Sciences (CZ). His main research interest is upscaling of reflected, transmitted and emitted optical signals,  such as the chlorophyll fluorescence, from leaves to top of plant canopies using physical radiative transfer models. He is developing drone-, airborne- and satellite-based imaging spectroscopy methods to estimate biochemical and biophysical traits of vegetation photosynthesis and other eco-physiological processes, especially stress reactions.


Tim J Malthus

Tim Malthus is Research Group Leader of the Coastal Sensing and Modelling Group in the Coasts Program of CSIRO’s Oceans and Atmosphere Business Unit. Prior to 2014, he led the Environmental Earth Observation Program in the CSIRO Division of Land and Water. He combines skills in calibration, validation and field spectroscopy with analysis of airborne and satellite Earth observation data, to develop improved monitoring tools for the management of land and water resources informing wider environmental policies. Tim’s research career has focused on earth observation of both the aquatic and terrestrial environments.

Tim’s recent research projects have focussed on the development of early warning systems for algal bloom alerting in inland waters using a combination of satellites and novel near surface optical sensing methods. He has particular interests in the development of low-cost sensors for water quality sensing for more wide scale deployment and in the development of tools for citizen science. 

Tim is co-chair of the Australian Satellite Calibration Working Group and represents Australia on the CEOS Working Group in Calibration and Validation. He also currently chairs the EU Eufar Calibration-Validation Working Group. He has supervised 16 PhD students to completion and is the co-author of two patents. Tim has authored over 70 peer reviewed journal papers.

Syliva Michaels


Dipak Paudyal

Dipak Paudyal has a strong background in the science of remote sensing and has worked in the industry for more than 25 years — in government, academia, and the private industry — advocating and consulting on real-world and practical applications of the technology.

Dipak also holds an adjunct associate professorship with University of Queensland and is dual-certified by Surveying and Spatial Sciences Institute (SSSI) for GIS (GISP-AP) and Remote Sensing and Photogrammetry (RS&P).

He holds a PhD in remote sensing, a master’s degree in natural resources management and a bachelor’s in civil engineering. Dipak specializes in radar remote sensing and his current interests lie in the application of AI in remote sensing.

Christoph Rudiger


Michael Schmidt
Senior Scientist, Department of Environment and Science, Brisbane, Australia

Michael Schmidt is a remote sensing scientist with a focus on land applications for natural resource management. He has vast experience in developing satellite image products and applications in high performance computing environments. In 2003 Dr Schmidt received his PhD for his work on land-use/land-cover and desertification mapping, from the University of Bonn, Germany. He came to Australia afterwards for Post-Doctoral work at CSIRO and has been working on various research projects in Australia since. Currently, Dr Schmidt is working on a state-wide agricultural commodity mapping program in Queensland, based on Earth Observation data.

Neil Sims

Dr Neil Sims.  A PhD qualified research scientist with almost 20 years’ experience in the use and application of remote sensing tools and methods to address a wide range of environmental sustainability issues.  Dr Sims studies used satellite images to examine the impacts of flooding on plant growth across a very large floodplain in inland Australia.  This involved developing methods to process and analyse images, and linking those results to the structure and functioning of the ecosystem to improve the sustainability of these important ecosystems. 

Dr Sims has led and contributed to a range of global initiatives and projects associated with the United Nations Sustainable Development Goals (SDG).  Dr Sims was the lead-author of Good Practice Guidance report for United Nations SDG 15.3.1 (land degradation) for the UN Convention to Combat Desertification (UNCCD), and has led a range of large and complex national and international  projects including forest degradation assessment for the UN initiative to Reduce Emissions from Deforestation and forest Degradation (REDD+), and the development of a crop biosecurity monitoring system in Eastern Africa.  Dr Sims has presented his work at a range of international forums on behalf of the UNCCD including the UNCCD Conference of the Parties in Ordos China, as part of the Australian delegation to the Group on Earth Observations Plenary in Washington DC.

Dr Sims’ current activities focus on developing remote sensing data structures (Open Data Cube technologies) to support the needs of Small Island Developing States (SIDS) countries in the Asia Pacific region.  This involves liaising with national representatives and key stakeholders to determine their data needs and leading the development of the technologies to support those needs.