Jeffery Thompson, PhD
HPC Geospatial Analyst
Email:
jathomps@umn.edu
Office:
537 Walter Library
Brief Bio:
Jeff is a high-performance computing geospatial analyst in the Research Informatics Solutions (RIS) group at the Minnesota Supercomputing Institute (MSI). He has more than fifteen year’s experience working with remote sensing, climate, and geospatial data. His specialty is applying remotely sensed image time-series to phenological studies, and he is particularly interested in improving our understanding of the interactions between vegetation and climate dynamics. Having worked on projects in agriculture, mining, resource management and environmental issues, his geospatial experience is wide ranging.
Expertise:
- Geospatial Workflows - data integration and harmonization, vector processing and analysis, raster processing and analysis
- Remote Sensing Image Analysis - image processing, classification and change detection
- Spatial Statistics - geostatistical modeling and interpolation
Education:
- Post-doc, Arctic Change and Permafrost, University of Colorado, Boulder, 2016
- Post-doc, Polar Remote Sensing, University of Colorardo, Boulder, 2015
- PhD, Geography, University of New South Wales, Australia, 2013
- M Resource Science, University of New England, Australia, 2009
- M Geographic Information Science, University of New England, Australia, 2006
- BA Politics, University of California, Santa Cruz, 1989
Publications and Presentations:
- LinkedIn Profile:
- Thompson, JA, Brodzik MJ, Silverstein KAT, Hurley MA, Carlson NL (2022). EASE-DGGS: a hybrid discrete global grid system for Earth sciences, Big Earth Data, DOI: 10.1080/20964471.2021.2017539.
- Onsongo G, Fritsche S, Nguyen T, Belemlih A, Thompson JA, Silverstein KAT (2022). ITALLIC: A tool for identifying and correcting errors in location based plant breeding data, Computers and Electronics in Agriculture, 197, 106947. DOI: 10.1016/j.compag.2022.106947.
- Thompson, JA and Koenig, LS (2018). Land surface phenology in Greenland and links to cryospheric change, Cryosphere and Biosphere special issue, Annals of Glaciology
- Thompson JA and Paull, DJ (2017). Assessing spatial and temporal patterns in land surface phenology for the Australian Alps (2000 – 2014), Remote Sensing of Environment, 199, p1-13, doi:10.1016/j.rse.2017.06.032
- Thompson, JA (2016). A MODIS derived snow-cover climatology (2000 – 2014) for the Australian Alps, 68, 25 – 38, Climate Research, doi: 10.3354/cr01379
- Thompson JA, Paull DJ and Lees BG (2015). Using phase-spaces to characterize land surface phenology in a seasonally snow-cover landscape, Remote Sensing of Environment, 166 p178-190, doi:10.1016/j.rse.2015.04.008
- Thompson JA, Paull DJ and Lees BG (2015). An improved liberal cloud-mask for addressing snow/cloud confusion with MODIS, Photogrammetric Engineering and Remote Sensing, 81 p119-129, doi:10.14358/PERS.81.2.119
- Thompson JA and Lees BG (2014). Applying object-based segmentation in the temporal domain to characterise snow seasonality, ISPRS Journal of Photogrammetry and Remote Sensing, 97 p98–110, doi:10.1016/j.isprsjprs.2014.08.010
- Thompson JA, Lamb DW, Frazier PS and Ellem B (2011). Monitoring the effects of longwall mine-induced subsidence on vineyards. Environmental Earth Sciences, 62(5), p. 973–984, doi:10.1007/s12665-010-5820-7
- Brunckhorst D, Reeve I, Morley P, Coleman M, Barclay E, McNeill J, Stayner R, Glencross-Grant R, Thompson J & Thompson L (2011). Hunter and Central Coasts, New South Wales - Vulnerability to Climate Change Impacts. Department of Climate Change and Energy Efficiency, Australia, ISBN: 978-1-921298-83-7