Dr. Mark Broich played a central research role on the Geospatial Analysis for Environmental Change team and had a key role in building the GAEC lab. As an innovative geospatial researcher he has extensive skills in quantitative spatial-temporal analysis and modelling of large datasets using remote sensing, geographic information systems (GIS), machine learning, spatial statistics and high performance computing (HPC). His far reaching international experience includes work in developing nations such as Indonesia and DR Congo. When he joined UNSW as a Postdoctoral Research fellow he worked on developing remote sensing algorithms quantifying surface water extent dynamics and vegetation response to flooding as part of an Australian Research Council Linage Grant and jointly supervise the lab’s three PhD students.
His post doctoral research was titled “A novel approach for assessing environmental flows using satellite data (Australian Research Council Linkage Grant with the Murray-Darling Basin Authority).”
Past Projects
Australian Research Council Linkage Grant working with Dr Mirela Tulbure: “A novel approach for assessing environmental flows using satellite data”. This project will determine how ecosystems respond to environmental flow by linking flooding history with vegetation responses, using remote sensing, climate data layers, spatial statistics, models of environmental flows and ecological theory. Beneficiaries will include water and land managers in Australia.
AusCover/TERN satellite phenology product for Australia (v1): In contribution to the Terrestrial Ecosystems Research Initiative’s AusCover remotes sensing facility, Mark developed Australia’s first remote sensing-based phenological characterization product (Broich et al. 2014 & 2015) in collaboration with the University of Technology Sydney.
Forest cover loss in Indonesia and DR Congo: Funded by NASA, USAID and AusAid, Mark Broich worked with Professor Matt Hansen (UMD) on quantifying humid tropical forest cover loss from Landsat and MODIS remote sensing time series (Broich et al. 2011a, 2011b and others) in contribution to the UN-REDD policy initiative.
Scholarships
PhD in Geospatial Science and Engineering, 2010
South Dakota State University