Skip to main content Skip to local navigation

Tarmo K Remmel

Tarmo K Remmel

Associate Professor


PhD Geography, University of Toronto
MScF Forestry and Forest Environment, Lakehead University
BES Environmental Studies, University of Waterloo

Research Keywords

Geography; Forestry; Remote Sensing; Geographic Information System; Spatial Pattern Analysis; Geomatics.

Tarmo Remmel

Contact Information

4700 Keele Street
Toronto, ON M3J1P3

416 736 2100

Research Interests

My core interests incorporate aspects of spatial pattern, accuracy and uncertainty, and boreal disturbance analyses. I integrate remote sensing, GIS, and spatial analyses to better understand the physical environment.

Approach to Teaching

Passion and genuine interest in subject matter are vital to bringing course material to life in the minds of students. Such expression of excitement towards the curriculum coupled with demonstrations of its applicability can inspire a profound desire and capacity for learning. Alignment of these thrusts with various clear examples during lectures is a certain method for grounding theories with reality, providing links to which students can relate. The use of suitable vocabulary and teaching techniques, directed at the audience, ensures that the teaching objectives serve their intended purpose, neither boring nor baffling the minds of learners. Achieving the goal of maximum conveyance of knowledge occurs when presenting subject material in an exciting fashion, directed at the audience and when learning barriers are recognized and minimized such that all parties can communicate at a common level. Finally, accessibility for consultation and the provision of constructive criticism are crucial to complete the feedback-loop in the learning cycle. Fostering these hallmarks creates an encouraging and constructive educational atmosphere that lends itself to the positive development of independent thinkers and learners.

My teaching goals link clearly with my teaching philosophy, with primary goals to inspire independent thinking and to develop problem-solving skills. Most people can learn technical skills but learning to think is an invaluable ability regardless of the discipline. I strive to convey my excitement towards science through the inclusion of numerous case studies and illustrations to which students may relate. Using examples from my personal research, the media, and from the backgrounds of my students, I hope to paint a vivid and stimulating portrait of science, problem solving, and geographic analysis in their minds. The integration of theories with illustrative examples acts to personalize the learning experience and provides tangible relevance to important concepts. When students demonstrate their ability to think and solve problems through the completion of assignments, they experience accomplishment. Honest and objective evaluations of these accomplishments provide students with constructive feedback and further coaching. I demand quality from my students, and to assist them meet this requirement, I make myself readily available for consultation and guidance. When students demonstrate critical thinking skills to overcome hurdles independently, I see their personal satisfaction, which elevates a feeling of teaching achievement within me.

Research Projects

2018-2021 Developing a comprehensive spatial database of fire, harvesting, and road disturbances in the boreal forest in Ontario (joint project with the Ontario Forest Research Institute).

An Interactive mobile GIS-based tool for deciphering complex parking restrictions in space and time.

2019-2020 Hyper-local configuration elements for characterizing, comparing, and assessing landscape spatial patterns.

2016-2020 SSHRC Insight Grant: Queering Canadian Suburbs: LGBTQ2S place-making outside of central cities.

2015 Mitacs Accelerate Grant: Sensitivity analysis of UAV imaging and LiDAR mapping of landscapes (Industrial partner: J.D. Barnes Ltd., Markham, ON, Canada).

Research Output

Malik, K., C. Robertson, S.A. Roberts, T.K. Remmel, and J.A. Long. (Submitted 2020). Spatial pattern comparison: new and old tools for identifying and characterizing environmental change.

Remmel, T.K. and A.H. Perera. Spatial complexity within large contiguous disturbances: a case study of boreal forest fires. Wildfire.

Mitchell, S.W. and T.K. Remmel. Comparing non-destructive and destructive methods of LAI retrieval.

Kabos, S. and T.K. Remmel. Effective simultaneous estimation of categorical map composition and configuration.

Remmel, T.K. and A.H. Perera (eds.). 2017. Mapping forest landscapes. New York: Springer-Verlag. 326 p.

Refereed Journal Articles

Remmel, T.K. and H. Moghaddam. In Press. Assessing morphological change in Canadian boreal forests. International Journal of Geoinformatics.

Remmel, T.K. 2020. Distributions of hyper-local configuration elements to characterize, compare, and assess landscape-level spatial patterns. Entropy 22(4):420. DOI: 10.3390/e22040420

Remmel, T.K. 2018. An incremental and philosophically different approach to measuring raster patch porosity. Sustainability10:3413. DOI:10.3390/su10103413

Mahaney, W.C., P. Somelar, A. West, R. Dirszowsky, C.C.R. Allen, T.K. Remmel, and P. Tricart. 2018. Reconnaissance of the Hannibalic route in the Upper Po Vally, Italy: correlation with biostratigraphic historical archaeological evidence in the Upper Guil Valley of France. Archaeometry. DOI: 10.1111/arcm.12405

Araya, Y., T.K. Remmel, and A.H. Perera. 2016. Spatially explicit prediction of residual vegetation patch occurrence within boreal wildfires. International Journal of Geoinformatics 12(3):1-15.

Ko, C., G. Sohn, T.K. Remmel, and J.R. Miller. 2016. Maximizing the diversity of ensemble Random Forests for tree genera classification using high density LiDAR data. Remote Sensing 8(8), 646.

Araya, Y.T.K. Remmel, and A.H. Perera. 2016. What governs the presence of residual vegetation in boreal wildfires? Journal of Geographical Systems 18(2):159-181.

Araya, Y., T.K Remmel, and A.H. Perera. 2015. Residual vegetation patches within natural boreal wildfires: characterizing by pattern metrics, land cover expectations, and proximity to firebreak features. Geomatica 69(4):327-338.

Remmel, T.K. 2015. ShrinkShape2: a FOSS toolbox for computing rotation-invariant shape spectra for characterizing and comparing polygons. The Canadian Geographer 59(4):532-547.

Ko, C., G. Sohn, T.K. Remmel and J.R. Miller. 2014. Ensemble classification of tree genera using airborne LiDAR data with geometric and vertical profile features. Remote Sensing 6:11225-11243.

Remmel, T.K. and T.A. Montour. 2014. Spatial bootstrapping of high spatial and temporal resolution thermal infrared imagery: a canopy wetness case study. International Journal of Geoinformatics 10(3):1-11.

Remmel, T.K. and S.W. Mitchell. (accepted). A review of landscape pattern analysis. Perry, G., E. Minor, R. Francis, and J. Millingon (eds.). The Routledge handbook on landscape ecology. Taylor and Francis.

Youdelis, M. D. Douhaibi, D. Holterman, K. Paudel, E. Lunstrum, J. Mensah, T.K. Remmel, and V. Preston (accepted). Out of Bounds: The BHER bones of teaching geography across borders. In Giles, W., D. Dippo, and A. Orgoka (eds.). Making university education borderless in the Dadaab camps in north-eastern Kenya.

Remmel, T.K. and A.H. Perera. 2017. Mapping forest landscapes: overview and a primer. pp. 1-62. In Remmel, T.K. and A.H. Perera (eds.). Mapping forest landscapes. New York: Springer-Verlag. 326 p.

Remmel, T.K. and A.H. Perera. 2017. Portraying wildfires in forest landscapes as discrete complex objects. pp. 105-145. In Remmel, T.K. and A.H. Perera (eds.). Mapping forest landscapes. New York: Springer-Verlag. 326 p.

Ko, C. and T.K. Remmel. 2017. Airborne LiDAR applications in forest landscapes. pp. 147-185. In Remmel, T.K. and A.H. Perera (eds.). Mapping forest landscapes. New York: Springer-Verlag. 326 p.

Perera, A.H. and T.K. Remmel.2017. Epilogue: toward more efficient and effective applications of forest landscape maps. pp. 305-32. In Remmel, T.K. and A.H. Perera (eds.). Mapping forest landscapes. New York: Springer-Verlag 326 p.

Remmel, T.K. and M-J. Fortin. 2017. What constitutes a significant difference in landscape pattern? pp.105-125. In Gergel, S.E. and M.G. Turner. Learning landscape ecology: a practical guide to concepts and techniques (2nd ed.). New York: Springer-Verlag. 347 p.


Remmel, T.K. 2020. ShapePattern: a toolbox for characterizing and comparing polygon shape. (Becoming the new consolidated container of PatternClassShapePattern and more). Version 2.1.0 (as of 27 April 2020) The Comprehensive R Archive Network (CRAN). GPL-3

Remmel, T.K. 2020. PatternClass: a collection of functions for comparing class-focused pattern metrics. (Being migrate to ShapePattern). Version 2.0.1 (as of 13 March 2020). The Comprehensive R Archive Network (CRAN). GPL-3


Remmel, T.K. 2020. Downloading Sentinel Imagery Via Copernicus Open Access Hub. Remmel Geoinformatics Lab Workshops. YouTube demo video [9:25 minutes]

Remmel, T.K. and J. Thienpont. 2020. Experiential Education: The Flume. Remmel Geoinformatics Lab Workshops. YouTube demo video [1:29 minutes]

Remmel, T.K. ADC Snap Maiden Flight. Remmel Geoinformatics Lab Workshops. YouTube demo video [1:00 minutes]

David, Y. and T.K. Remmel. 2015. Tension Infiltrometer. Remmel Geoinformatics Lab Workshops. YouTube training video [7:27 minutes]

Recognition & Awards

  • Dean's Service Award, Faculty of Environmental & Urban Change


Course CodeTitle
Winter 2021 EU/GEOG2340Geoinformatics: Introduction
Winter 2021 EU/GEOG4440Geoinformatics: Remote Sensing II