Geordie Hobart

Image Hobart, Geordie
Physical Scientist

Supporting a research team with big data satellite imagery projects thorough the creation and design of programs to generate Canada wide time series image composites  and  data analysis for investigation of ecology, and resource management.

Natural Resources Canada

Current research and/or projects

Research includes implementing, testing and refining of various processing techniques of remote sensing imagery and GIS related systems to extract meaningful forest information such as species, biomass, moisture, nitrogen, chlorophyll and health within a GIS context

Co-investigator for the Radarsat – 2 Applications Research on the analysis of full polarimetric radar data for forest information. Current research is focused on hybrid analysis using Eigen decompositions, Faraday rotation corrections, and phase compensation for terrain effects.

Co-researcher for System of Agents for Forest Observation Research with Advanced Hierarchies (SAFORAH) which is a distributed computing data storage system which allows researchers to manage, catalogue and deliver large earth observation data

Education and awards

Bachelor of Computer Engineering, 2004, University of Victoria (Honors)

Key publications

White, J.C., M.A. Wulder, T. Hermosilla, N.C. Coops, and G.W. Hobart. (In review). A nationwide annual characterization of 25 years of forest disturbance and recovery for Canada using Landsat time series. Remote Sensing of Environment (Submitted September 15, 2016; RSE-D-16-01069; Returned December 21, 2016)(Revised and resubmitted January 19, 2017; RSE-D-16-01069R1) (Revised and resubmitted March 14, 2017; RSE-D-16-01069R2).

Jarron, L. R; Hermosilla, T.; Coops, N. C; Wulder, M. A; White, J. C; Hobart, G. W, and Leckie, D. G. Differentiation of Alternate Harvesting Practices Using Annual Time Series of Landsat Data2017; 8(1), DOI:10.3390/f8010015.

Hermosilla, T.; Wulder, M. A.; White, J. C.; Coops, N. C.; Hobart, G. W, and Campbell, L. B. Mass data processing of time series Landsat imagery: pixels to data products for forest monitoring. International Journal of Digital Earth. 2016; 8947(on line), DOI:10.1080/17538947.2016.1187673.

Zald, H., Wulder, M.A., White, J.C., Hilker, T., Hermosilla, T., Hobart, G.W., Coops, N.C. (2016). Integrating Landsat pixel composites and change metrics with lidar plots to predictively map forest structure and aboveground biomass in Saskatchewan, Canada. Remote Sensing of Environment. Vol. 176, pp. 188–201. DOI: http://dx.doi.org/10.1016/j.rse.2016.01.015

White, J.C., Wulder, M.A., Hobart, G.H, Hermosilla, T., Coops, N.C.,( 2015). National, annual, gap-free surface reflectance composites from Landsat to capture long-term forest dynamics, land cover, and forest structure for Canada. For presentation at: 36th Canadian Symposium on Remote Sensing, St. John’s, Newfoundland. June 8-11, 2015. [Invited session: Monitoring & Modeling Terrestrial Ecosystems (Forests), presented by White].

Hermosilla, T.; Wulder, M. A.; White, J. C.; Coops, N. C., and Hobart, G. W., (2015). Regional detection, characterization, and attribution of annual forest change from 1984 to 2012 using Landsat-derived time-series metrics. Remote Sensing of Environment.; 170121-132; ISSN: DOI:10.1016/j.rse.2015.09.004.

Hermosilla, T.,  Wulder, M.A.,  White, J.C. Coops,  Hobart, G.W., (2015).  An integrated Landsat time series protocol for change detection and generation of annual gap-free surface reflectance composites. Remote Sensing of Environment. 158,220-234. doi: 10.1016/j.rse.2014.11.005

White, J.C., Wulder, M.A., Hobart, G,W., Luther, J.E., Hermosilla, T., Griffiths, P., Coops, N.C., Hall, R.J., Hostert, P., Dyk, A., Guindon. L. (2014). Pixel-based image compositing for large-area dense time series applications and science. Canadian Journal of Remote Sensing. Vol. 40, No. 3, pp. 192- 212. DOI. http://dx.doi.org/10.1080/07038992.2014.945827 

Wulder, M.A., N.C. Coops, J.C. White, M. Vastaranta, and G. Hobart, (2013). Inventory, monitoring, and reporting on forests using lidar: Opportunities at a range of scales.  Keynote at SilviLaser 2013, Beijing, China. October 9-11, 2013. (Presented by Wulder)

Mora, B., M.A. Wulder, J.C. White and G. Hobart. (2013).  Modeling Stand Height, Volume, and Biomass from Very High Spatial Resolution Satellite Imagery and Samples of Airborne LiDAR. Remote Sensing. Vol. 5, No. 5, pp. 2308-2326. doi: http://dx.doi.org/10.3390/rs5052308

Wulder, M.A., T. Loveland, J.C. White, and G. Hobart. (2013). Landsat in Science and Applications. Presented at the XVI Brazilian Remote Sensing Symposium. Foz do Iguaçu - PR, Brazil. April 13-18, 2013. (Presented on April 15 by M.A. Wulder)

White, J.C., Wulder, M.A., Hobart, G. 2013. National EO-based products to characterize Canada's forests. Presentation to Javier Gracia-Garza, Director General, Science Branch. April 16, 2013. Pacific Forestry Centre, Victoria, BC. (Presented by J.C. White).

Mora, B., Wulder, M.A., Hobart, G., White, J.C., Bater, C.W., Gougeon, F.A., Varhola, A., Coops, N. 2013. Forest inventory stand height estimates from very high spatial resolution satellite imagery calibrated with Lidar-plots. International Journal of Remote Sensing, Vol. 34, No. 12, pp.

Andrew, M.E., Wulder, M.A., Hobart, G.W., Coops, N.C., Nelson, T.A., and C.J.Q. Farmer 2013.  Associations between short-term interannual trends in snow conditions and plant growth.  Journal of Geophysical Research.  Vol. 185, No. 4, pp. 3057-3079, DOI: 10.1007/s10661-012-2773-z

Mora, B., Wulder, M.A., White, J.C., and Hobart, G.W. (In review). Stand height, volume, and biomass modeling using very high spatial resolution imagery and lidar data. Forest Science

Andrew, M.E., T.A. Nelson, M.A. Wulder, G.W. Hobart, N.C. Coops, and C.J.Q. Farmer (in press).  Ecosystem classifications based on summer and winter conditions.  Environmental Monitoring and Assessment.  doi:10.1007/s10661-012-2773-z

Richardson, A.; Goodenough, D.G.; Chen, H.; Moa, B.; Hobart, G.; Myrvold, W.; , "Unsupervised nonparametric classification of polarimetric SAR data using the K-nearest neighbor graph," Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International , vol., no., pp.1867-1870, 25-30 July 2010 doi: 10.1109/IGARSS.2010.5651992

Goodenough, D.G.; Niemann, K.O.; Quinn, G.S.; Gordon, P.; Gross, A.; Tian Han; Hobart, G.; Hao Chen; Dyk, A.; , "Comparison of AVIRIS and AISA for chemistry mapping," Geoscience and Remote Sensing Symposium,2009 IEEE International,IGARSS 2009 , vol.1, no., pp.I-80-I-83, 12-17 July 2009

Hao Chen; Goodenough, D.G.; Dyk, A.; Hobart, G.; Richardson, A.; Belaid Moa; Wilke, A.; , "Topographic relief compensation on spaceborne polarimetric SAR for forest applications," Radar Conference, 2009 IEEE , vol., no., pp.1-4, 4-8 May 2009 doi: 10.1109/RADAR.2009.4977027

Goodenough, David G.; Chen, Hao; Hobart, Geordie; Richardson, Ashlin; Hong, Wen; Cao, Fang; Chen, Erxue; , "Preliminary evaluation of Radarsat-2 polarimetric SAR data for forest applications," Radar Conference, 2009 IET International , vol., no., pp.1-5, 20-22 April 2009

David G. Goodenough, K. Olaf Niemann, Andrew Dyk, Geordie Hobart, Piper Gordon, Matthew Loisel, "A Comparison of Forest Products From AISA and AVIRIS" ASTRO 2008, Ottawa, ON

Goodenough, D.G.; Niemann, K.O.; Dyk, A.; Hobart, G.; Gordon, P.; Loisel, M.; Hao Chen; , "Comparison of Aviris and AISA Airborne Hyperspectral Sensing for Above-Ground Forest Carbon Mapping," Geoscience and Remote Sensing Symposium, 2008. IGARSS 2008. IEEE International , vol.2, no., pp.II-129-II-132, 7-11 July 2008 doi: 10.1109/IGARSS.2008.4778944

Goodenough, D.G.; Hao Chen; Dyk, A.; Hobart, G.; Richardson, A.; , "Data Fusion Study Between Polarimetric SAR, Hyperspectral and Lidar Data for Forest Information," Geoscience and Remote Sensing Symposium, 2008. IGARSS 2008. IEEE International , vol.2, no., pp.II-281-II-284, 7-11 July 2008 doi: 10.1109/IGARSS.2008.4778982

Dyk, A.; Goodenough, D.G.; Hobart, G.; Niemann, K.O.; Simic, A.; Jing Chen; Hao Chen; , "Multi-Angle Measurements with Chris for Forest Parameters," Geoscience and Remote Sensing Symposium, 2008. IGARSS 2008. IEEE International , vol.2, no., pp.II-133-II-136, 7-11 July 2008

D. G. Goodenough, H. Chen, L. Di, A. Dyk, A. Guan, G. Hobart, W. Gilbert and R. Sobie, "Canadian Forest Geospatial Data Infrastructure," Proc. ASPRS 2007,  Ottawa, Canada, September 2007.

D. G. Goodenough, H. Chen, L. Di, A. Guan, Y. Wei, A. Dyk and G. Hobart, "Grid-enabled OGC Environment for EO Data and Services in Support of Canada's Forest Applications," Proc. IGARSS 2007, Barcelona, Spain, July 2007.

David G. Goodenough, Andrew Dyk, Geordie Hobart, Hao Chen, "Forest Information Products from Hyperspectral Data - Victoria and Hoquiam Test Sites", Proc. IGARSS 2007, Barcelona, Spain, July 2007.

Andrew Dyk, David G. Goodenough, K. Olaf Niemann, Geordie Hobart, and Hao Chen, "A CHRIS Triplet for Forest Attributes", Proc. IGARSS 2007, Barcelona, Spain, July 2007.

D. G. Goodenough., A. Dyk, H. Chen, G.Hobart, O. Niemann, and A. Richardson, "Hyperspectral Sensing of Forests," Proc. 2nd ICSIT 2007 (SPIE Press), Wu Han, China, November 2007.

Bhogal, A. S., D. G. Goodenough, H. Chen, G. Hobart, B. Rancourt, M. Murdoch, J. Love, and A. Dyk, "Automated Methods for Atmospheric Correction and Fusion of Multispectral Satellite Data for National Monitoring," presented at IGARSS 2002, Toronto, Ontario, Canada, 2002.