Tarmo Remmel
Associate Professor
On Sabbatical
Office: Ross Building, N423
Phone: 416-736-2100 Ext: 22496
Email: remmelt@yorku.ca
Primary website: Personal Website
Secondary website: GIScience Study Group
Accepting New Graduate Students
My core interests incorporate aspects of spatial pattern, accuracy and uncertainty, and boreal disturbance analyses. I integrate remote sensing, GIS, and spatial statistics to better understand the physical environment.
Degrees
Ph.D., University of TorontoM.Sc.F., Lakehead University
B.E.S., University of Waterloo
Appointments
Faculty of Graduate StudiesProfessional Leadership
Undergraduate Program Director, Department of Geography Chair, GIScience Study Group, Canadian Association of Geographers Scientific Committee Member, International Union of Forest Research Organizations Landscape Ecology Conference Chair, Spatial Knowledge and Information - Canada Conference
Research Interests
Remmel, T.K. and A.H. Perera (eds.). 2017. Mapping forest landscape patterns. New York: Springer. 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. Turner (eds.). Learning landscape ecology: a practical guide to concepts and techniques (2nd Edition). New York: Springer-Verlag. 347 p.
Remmel, T.K., C. Ko, and R.L. Bello. 2010. Characterizing and comparing GIS polygon shape complexity by iterative shrinking spectra. 41-52 p. In Devillers, R. and H. Goodchild (eds.). Spatial data quality: from process to decisions. New York: CRC Press. 222 p.
Remmel, T.K. 2009. An introduction to the Algonquin Park ecosystem. 14-35 p. In Euler, D. and M. Wilton (eds.). Algonquin Park: the human impact. Espanola: Algonquin Eco Watch. 397 p.
Remmel, T.K. 2020. Distributions of hyper-local configuration elements to characterize, compare, and assess landscape-level spatial patterns. Entropy 22(4):420.
Remmel, T.K. 2018. An incremental and philosophically different approach to measuring raster patch porosity. Sustainability 10:3413.
Mahaney, W.C., P. Somelar, A. West, R. Dirszowsky, C.C.R. Allen, T.K. Remmel, and P. Tricart. In Press. 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.
Araya, Y.H., 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.
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.
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. 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.
Ko, C., G. Sohn, T.K. Remmel and J.R. Miller. 2014. Hybrid ensemble classification of tree genera using airborne LiDAR data. Remote Sensing 6:11225-11243.
Remmel, T.K. and S.W. Mitchell. 2013. Importance of accurate visibility parameterization during atmospheric correction: impact on boreal forest classification. International Journal of Remote Sensing 34(14):5213-5227.
Ko, C., G. Sohn, and T.K. Remmel. 2013. Tree genera classification with geometric features from high-density airborne LiDAR. Canadian Journal of Remote Sensing. 39(S1):S1-S13.
Remmel, T.K. and M.-J.Fortin. 2013. Categorical class map patterns: characterization and comparison. Landscape Ecology. 28(8):1587-1599.
Ko, C., T.K. Remmel, and G. Sohn. 2012. Mapping tree genera using discrete LiDAR and geometric tree metrics. BOSQUE 33(3):313-319.
Lam, D.K., T.K. Remmel, and T. Drezner. 2011. Tracking desertification in California using remote sensing: a sand dune encroachment approach. Remote Sensing 3(1):1-13.
Lam, D.K. and T.K. Remmel. 2010. Effect of spatial configuration on spectral signatures. Canadian Journal of Remote Sensing 36(1):48-54.
Remmel, T.K. and M-J. Fortin. 2010. Research in the spatial sciences: How are Canadian geographers contributing? The Canadian Geographer 54(1):4-14.
Remmel, T.K. 2009. Investigating global and local categorical map configuration comparisons based on coincidence matrices. Geographical Analysis 41(1):113-126.
Remmel, T.K. and A.H. Perera. 2009. Mapping natural phenomena: boreal forest fires with non-discrete boundaries. Cartographica 44(4):275-289.
Remmel, T.K., K.W. Todd, and J. Buttle. 2008. A comparison of existing surficial hydrological layers in a low-relief forested Ontario landscape with those derived from a LiDAR DEM. Forestry Chronicle 84(6):850-865.
Mitchell, S.W., T.K. Remmel, F. Csillag, and M. Wulder. 2008. Distance to second cluster as a measure of classification confidence. Remote Sensing of Environment 112(5):2615-2626.
Buliung, R.N., M.J. Roorda, and T.K. Remmel. 2008. Exploring spatial variety in patterns of activity-travel behaviour: initial results from the Toronto Travel Activity Panel Survey (TTAPS). Transportation 36(6):697-722.
Buliung, R.N. and T.K. Remmel. 2008. Open source, spatial analysis, and travel behaviour research: capabilities of the aspace package. Journal of Geographical Systems 10(2):191-215.
Csillag, F., S. Kabos, and T.K. Remmel. 2008. A spatial clustering perspective on autocorrelation and regionalization. Environmental and Ecological Statistics 15(4):385-401. http://dx.doi.org/10.1007/s10651-007-0068-2 (on-line in 2007).
Csillag, F., S. Kabos, and T.K. Remmel. 2006. Confidence in coincidence. International Journal of Remote Sensing 27(6):1269-1276.
Remmel, T.K. and F. Csillag. 2006. Mutual information spectra for comparing categorical maps. International Journal of Remote Sensing 27(7):1425-1452.
Wulder, M.A., J.C. White, J.E. Luther, G. Strickland, T.K. Remmel, and S.W. Mitchell. 2006. Use of vector polygons for the accuracy assessment of pixel-based land cover maps. Canadian Journal of Remote Sensing 32(3):268-279.
Remmel, T.K., F. Csillag, S.W. Mitchell, and M. Wulder. 2005. Integration of remotely sensed and forest inventory data for national monitoring: Canadian status assessment and research issues. Forest Ecology and Management 207(3):405-428.
Fortin, M-J., B. Boots, F. Csillag, and T.K. Remmel. 2003. On the role of spatial stochastic models in understanding landscape indices in ecology. Oikos 102:203-212.
Remmel, T.K. and F. Csillag. 2003. When are two landscape pattern indices significantly different? Journal of Geographical Systems 5(4):331-351.
Remmel, T.K. and A.H. Perera. 2002. Accuracy of discontinuous surfaces: a case study of boreal forest fires. International Journal of Geographical Information Science 16(3):289-300.
Remmel, T.K. and A.H. Perera. 2001. Fire mapping in a northern boreal forest: assessing AVHRR/NDVI methods of change detection. Forest Ecology and Management 152(1-3):119-129.
Ko, C., G. Sohn, and T.K. Remmel. 2010. Derivation of 3D geometric models of a single tree using high density airborne LiDAR data. Association of Ontario Land Surveyors: 118th Annual General Meeting, February 17-19, Huntsville, Ontario, Canada.
Remmel, T.K. and S.W. Mitchell. 2010. Effect of noise on land cover classification: a systematic analysis. Canadian Association of Geographers Annual General Meeting, June 1-5, Regina, Saskatchewan, Canada.
Lam, D.K. and T.K. Remmel. 2010. Monitoring moisture dynamics in a tree canopy using 4D GIS. Canadian Association of Geographers Annual General Meeting, June 1-5, Regina, Saskatchewan, Canada.
Remmel, T.K. and S.W. Mitchell. 2010. Random and spatially autocorrelated sensor noise effects on image classification. Accuracy 2010. July 20-23, Leicester, UK. (Refereed)
Araya, Y., G. Sohn, and T.K. Remmel. 2010. Remote sensing image classification using Random Forests classifier. Canadian Association of Geographers Annual General Meeting, June 1-5, Regina, Saskatchewan, Canada.
Ko, C., Remmel, T.K., and G. Sohn. 2009. A precise reconstruction of three-dimensional crown shape from airborne LiDAR point clouds. Canadian Association of Geographers Annual General Meeting, May 26-30, Ottawa, Ontario, Canada.
Elliott, M., T.K. Remmel, and D. Bazley. 2009. An integrated investigation of vegetation gradients in the Mackenzie Valley, Northwest Territories, Canada. Canadian Association of Geographers Annual General Meeting, May 26-30, Ottawa, Ontario, Canada.
Remmel, T.K., C. Ko, and R.L. Bello. 2009. Characterizing and comparing GIS polygon shape complexity by iterative shrinking spectra. 6th International Symposium on Spatial Data Quality, July 6-8, St. John's, Newfoundland, Canada. (Refereed)
Ko, C., G. Sohn, and T.K. Remmel. 2009. Classification for deciduous and coniferous trees using airborne LiDAR and internal structure reconstructions. Silvilaser 2009: 8th International Conference on LiDAR Applications for Assessing Forest Ecosystems, October 14-16, College Station, Texas, USA. (Refereed)
Ko, C., G. Sohn, and T.K. Remmel. 2009. Deciduous-coniferous classification and internal structure derivation using LiDAR data. ISPRS Workshop: Laserscanning 2009, September 1-2, Paris, France. (Refereed)
Lam, D.K., and T.K. Remmel. 2009. Green grass, yellow grass, does arrangement really matter? Comparative analysis of uniform composition and changing configuration on spectral signatures. Canadian Association of Geographers Annual General Meeting, May 26-30, Ottawa, Ontario, Canada.
Remmel, T.K. 2009. Investigating global and local categorical map configuration comparisons based on coincidence matrices. Canadian Association of Geographers Annual General Meeting, May 26-30, Ottawa, Ontario, Canada.
Buliung, R. and T.K. Remmel. 2008. Aspace: and open source toolkit for the centrographic home-range estimation of activity spaces. Transportation Research Board 2008 Annual Meeting, January 13-17, Washington, DC, USA. (Refereed)
Remmel, T.K. and C. Ko. 2008. Characterizing and comparing GIS polygon shapes by iterative shrinking: a case study of forest fire residuals and arctic ponds. Canadian Association of Geographers Annual General Meeting, May 20-24, Quebec City, Quebec, Canada.
Mitchell, S.W., T.K. Remmel, and M. Wulder. 2008. How far is it?! The trials of measuring distance in spectral space, in attempts to provide a simple method to assess confidence in per-pixel class assignments. Canadian Association of Geographers Annual General Meeting, May 20-24, Quebec City, Quebec, Canada.
Weng, X. and T.K. Remmel. 2008. Image geometry and spatial resolution effects on forest biophysical variable estimation and regenerating stands. Canadian Association of Geographers Annual General Meeting, May 20-24, Quebec City, Quebec, Canada.
Dobrinescu, A. and T.K. Remmel. 2008. Nested multispectral-multiresolution measurements to characterize boreal clearcut boundaries and revegetation sites: a biophysical variable perspective. Canadian Association of Geographers Annual General Meeting, May 20-24, Quebec City, Quebec, Canada.
Remmel, T.K. and A.H. Perera. 2008. Fuzzy approach for the assessment of the spatial geometry of boreal forest fires. IUFRO Landscape Ecology Working Group International Conference, September 16-18, Chengdu, Sichuan, P.R. China. (Refereed)
Remmel, T.K., A.H. Perera, and C. Eyjolfson. 2007. An assessment of post-fire boreal vegetation residual patterns measured at multiple spatial and thematic resolutions in Ontario. Canadian Association of Geographers Annual General Meeting, May 29-June 2, Saskatoon, Saskatchewan, Canada.
Remmel, T.K. and A.H. Perera. 2007. Geospatial techniques for a multi-resolution assessment of post-fire boreal vegetation residual patterns. Geocomputation 2007, September 3-5, Maynooth, Ireland. (Refereed)
Perera, A.H. and T.K. Remmel. 2007. Post-fire tree residual aggregates in boreal forest landscapes: and assessment of spatial patterns by IKONOS imagery. International Association for Landscape Ecology World Congress, July 8-12, Wageningen, The Netherlands. (Refereed)
Buliung, R., T.K. Remmel, and M. Roorda. 2006. Comparative analysis of weekday and weekend activity spaces. Annual Meeting of the Association of American Geographers, March 7-11, Chicago, Illinois, USA.
Remmel, T.K., S. Mitchell, and M. Wulder. 2006. Distance to second cluster as a measure of classification confidence. 4th International Conference on Geographic Information Science, September 20-23, Münster, Germany. (Refereed)
Mitchell, S., T.K. Remmel, and M. Wulder. 2006. Distance to second cluster as a measure of classification confidence. Free and Open Source Software for Geoinformatics, September 12-16, Lausanne, Switzerland. (Refereed)
Remmel, T.K., K.W. Todd, J. Buttle, G. Bruemmer, J. Pineau, P. Courville, K.W. Durst, J. Holland, R. Maher, M. Ryans, M. Partington, M. Woods, and A. Mutchmor. 2006. Lidar for hydrologic mapping. Winning Solutions 2006: FERIC Winning Solutions 2006, May 10-11, Sault Ste. Marie, Ontario, Canada.
Buliung, R., and T.K. Remmel. 2006. Where have all the weekends gone? Comparative analysis of weekday and weekend activity spaces using data from the Toronto Travel Activity Panel Survey (TTAPS). 53rd Annual North American Meetings of the Regional Science Association International, November 16-18, Toronto, Ontario, Canada. (Refereed)
Mitchell, S.W., T.K. Remmel, F. Csillag, and M. Wulder. 2005. Landscape pattern and per-pixel classification probabilities. GeoComputation International Conference, August 1-3, Ann Arbor, Michigan, USA. (Refereed)
Boots, B., F. Csillag, and T.K. Remmel. 2005. Pattern metrics. Workshop at the US-IALE Conference, State University of New York, College of Environmental Science and Forestry, March 13, Syracuse, New York, USA.
Remmel, T.K. and F. Csillag. 2005. Spectra of coincidences between spatial data sets: toward hierarchical inferential comparisons of categorical maps. GeoComputation International Conference, August 1-3, Ann Arbor, Michigan, USA. (Refereed)
Remmel, T.K. and F. Csillag. 2005. Spectra of coincidences between spatial data sets: toward hierarchical inferential comparisons of categorical maps. In Abstracts of the Canadian Association of Geographers (CAG) Annual Meeting, May 31-June 4, London, Ontario, Canada.
Mitchell, S.W., T.K. Remmel, F. Csillag, and M. Wulder. 2004. Can we infer landscape pattern from per-pixel classification?. In Abstracts of the Canadian Society for Landscape Ecology and Management (CSLEM) Conference, August 25-27, Waterloo, Ontario, Canada.
Remmel, T.K., F. Csillag, and B. Boots. 2004. Comparing maps as spatial processes. In Abstracts of the 5th Annual GEOIDE Scientific Conference (Poster), May 30 - June 1, Gatineau, Québec, Canada.
Remmel, T.K., F. Csillag, and S. Kabos. 2004. Using hierarchical entropy decomposition to compare the spatial patterns found in categorical digital maps. In Abstracts of the Canadian Association of Geographers (CAG) Annual Meeting, May 25-29, Moncton, New Brunswick, Canada.
Remmel, T.K., S.W. Mitchell, F. Csillag, M.A. Wulder, and M.D. Gillis. 2003. Integration of NFI and EOSD in the description of Canada's forests. 25th Canadian Remote Sensing Symposium, October 14-17, Montreal, Quebec, Canada. (Refereed)
Mitchell, S.W., T.K. Remmel, and F. Csillag. 2003. Landscape partitioning: toward integrating local, hierarchical, and global statistics. In Proceedings of the US-International Association for Landscape Ecology (US-IALE) Conference (Poster), April 2-6, Banff, Alberta, Canada. (Refereed)
Remmel, T.K., S.W. Mitchell, and F. Csillag. 2003. Pyramids and (heterogeneous) landscapes. Canadian Association of Geographers Meeting, May 27-31, Victoria, British Columbia, Canada.
Csillag, F., T.K. Remmel, and S.W. Mitchell. 2003. Spatial analysis of disparate forest inventory data. Canadian Association of Geographers Meeting, May 27-31, Victoria, British Columbia, Canada.
Fortin, M-J, B. Boots, F. Csillag, and T.K. Remmel. 2003. Spatial analysis of heterogeneous landscapes. 10th IES Cary Conference (Poster), April 29 - May 1, Millbrook, NY, USA. (Refereed)
Csillag, F., T.K. Remmel, and S. Kabos. 2003. Wavelets, boundaries and the spatial analysis of landscape pattern. In Proceedings of the US-International Association for Landscape Ecology (US-IALE)Conference, April 2-6, Banff, Alberta, Canada. (Refereed)
Remmel, T.K., F. Csillag, and B. Boots. 2003. What is the difference between two maps? In Abstracts of the 4th Annual GEOIDE Scientific Conference (Poster), May 21-23, Victoria, British Columbia, Canada.
Remmel, T.K. and A.H. Perera. 2000. Accuracy of remotely-sensed fire mapping assessed with a GIS database. In Proceeding of GIS 2000 Conference, March 13-16, Toronto, Ontario, Canada. CD-ROM. (Refereed)
Remmel, T.K., F. Csillag, S.W. Mitchell, and M. Wulder. 2004. Toward satellite-based large-area forest inventory: the impact of landscape pattern. In Proceedings of the Canadian Society for Landscape Ecology and Management (CSLEM) Conference, August 25-27, Waterloo, Ontario, Canada.
Remmel, T.K., F. Csillag, S.W. Mitchell, and B. Boots. 2002. Empirical distributions of landscape pattern indices as functions of classified image composition and spatial structure. In Proceedings of the Joint International Symposium on Geospatial Theory, Processing and Applications, July 8-12, Ottawa, Ontario, Canada. (Refereed)
Csillag, F., T.K. Remmel, and S.W. Mitchell. 2002. Toward a statistical framework for landscape pattern analysis. In Proceedings of the US-International Association for Landscape Ecology (US-IALE) Conference, April 23-27, Lincoln, Nebraska, USA. (Refereed)
Remmel, T.K. and F. Csillag. 2001. On the sensitivity of landscape pattern indices to composition and spatial autocorrelation. In Proceeding of the 3rd Annual GEOIDE Meeting (Poster), June 20-22, Fredericton, New Brunswick, Canada.
Fortin, M-J, M. Philibert, T.K. Remmel, and F. Csillag. 2001. Sensitivity analysis of boundary detection on spatial features of heterogeneous landscape. The International Environmetrics Society (TIES), August 13-17, Portland, Oregon, USA. (Refereed)
Fortin, M-J, M. Philibert, T.K. Remmel, and F. Csillag. 2001. Sensitivity analysis of boundary detection on spatial features of heterogeneous landscapes. In Proceedings of the US-International Association for Landscape Ecology (US-IALE) Conference, April 25-29, Tempe, Arizona, USA. (Refereed)
Perera, A.H., T.K. Remmel, L. Buse, and M. Ouellette. 2009. An assessment of residual patches in boreal fires in relation to Ontario’s policy directions for emulating natural forest disturbance. Forest Research Report 169. Queen's Printer for Ontario. 76 p.
Remmel, T.K., and K. Todd. 2006. LiDAR for hydrologic mapping. A sub-report of the LiDAR (Light Detection and Ranging) data for hydrologic mapping & digital elevation modeling project. Trent University. 50 p.
Remmel, T.K. 2013-Pending. PatternClass: a collection of functions for comparing class-focused pattern metrics. Version 1.0. The Comprehensive R Archive Network (CRAN). GPL 3.0 (http://cran.r-project.org). (http://cran.r-project.org/)
Remmel, T.K. and S. Kabos. 2007. hdeco: a collection of functions for decomposing entropy along spatial hierarchical partitions for categorical map comparison. Version 0.4. The Comprehensive R Archive Network (CRAN). GPL 2.0 (http://cran.r-project.org/).
Remmel, T.K. and R.N. Buliung. 2006. aspace: a collection of functions for estimating centrographic statistics. Version 0.1. The Comprehensive R Archive Network (CRAN). GPL 2.0 (http://cran.r-project.org/). [Current Version: 1.2 (2007)]
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.
Upcoming Courses
| Term | Course Number | Section | Title | Type |
|---|---|---|---|---|
| Fall 2021 | EU/GEOG3440 3.0 | A | Remote Sensing for Earth Observation | REMT |
| Winter 2022 | EU/GEOG2420 3.0 | M | Intro. Stats Analysis in Geography | LECT |
| Winter 2022 | EU/GEOG2340 3.0 | M | Introduction to Geomatics | LECT |
| Winter 2022 | EU/GEOG4440 3.0 | M | Processing and Analysis of Earth Observa | LECT |
My core interests incorporate aspects of spatial pattern, accuracy and uncertainty, and boreal disturbance analyses. I integrate remote sensing, GIS, and spatial statistics to better understand the physical environment.
Degrees
Ph.D., University of TorontoM.Sc.F., Lakehead University
B.E.S., University of Waterloo
Appointments
Faculty of Graduate StudiesProfessional Leadership
Undergraduate Program Director, Department of Geography Chair, GIScience Study Group, Canadian Association of Geographers Scientific Committee Member, International Union of Forest Research Organizations Landscape Ecology Conference Chair, Spatial Knowledge and Information - Canada Conference
Research Interests
All Publications
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. Turner (eds.). Learning landscape ecology: a practical guide to concepts and techniques (2nd Edition). New York: Springer-Verlag. 347 p.
Remmel, T.K., C. Ko, and R.L. Bello. 2010. Characterizing and comparing GIS polygon shape complexity by iterative shrinking spectra. 41-52 p. In Devillers, R. and H. Goodchild (eds.). Spatial data quality: from process to decisions. New York: CRC Press. 222 p.
Remmel, T.K. 2009. An introduction to the Algonquin Park ecosystem. 14-35 p. In Euler, D. and M. Wilton (eds.). Algonquin Park: the human impact. Espanola: Algonquin Eco Watch. 397 p.
Remmel, T.K. and A.H. Perera (eds.). 2017. Mapping forest landscape patterns. New York: Springer. 326 p.
Remmel, T.K. 2020. Distributions of hyper-local configuration elements to characterize, compare, and assess landscape-level spatial patterns. Entropy 22(4):420.
Remmel, T.K. 2018. An incremental and philosophically different approach to measuring raster patch porosity. Sustainability 10:3413.
Mahaney, W.C., P. Somelar, A. West, R. Dirszowsky, C.C.R. Allen, T.K. Remmel, and P. Tricart. In Press. 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.
Araya, Y.H., 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.
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.
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. 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.
Ko, C., G. Sohn, T.K. Remmel and J.R. Miller. 2014. Hybrid ensemble classification of tree genera using airborne LiDAR data. Remote Sensing 6:11225-11243.
Remmel, T.K. and S.W. Mitchell. 2013. Importance of accurate visibility parameterization during atmospheric correction: impact on boreal forest classification. International Journal of Remote Sensing 34(14):5213-5227.
Ko, C., G. Sohn, and T.K. Remmel. 2013. Tree genera classification with geometric features from high-density airborne LiDAR. Canadian Journal of Remote Sensing. 39(S1):S1-S13.
Remmel, T.K. and M.-J.Fortin. 2013. Categorical class map patterns: characterization and comparison. Landscape Ecology. 28(8):1587-1599.
Ko, C., T.K. Remmel, and G. Sohn. 2012. Mapping tree genera using discrete LiDAR and geometric tree metrics. BOSQUE 33(3):313-319.
Lam, D.K., T.K. Remmel, and T. Drezner. 2011. Tracking desertification in California using remote sensing: a sand dune encroachment approach. Remote Sensing 3(1):1-13.
Lam, D.K. and T.K. Remmel. 2010. Effect of spatial configuration on spectral signatures. Canadian Journal of Remote Sensing 36(1):48-54.
Remmel, T.K. and M-J. Fortin. 2010. Research in the spatial sciences: How are Canadian geographers contributing? The Canadian Geographer 54(1):4-14.
Remmel, T.K. 2009. Investigating global and local categorical map configuration comparisons based on coincidence matrices. Geographical Analysis 41(1):113-126.
Remmel, T.K. and A.H. Perera. 2009. Mapping natural phenomena: boreal forest fires with non-discrete boundaries. Cartographica 44(4):275-289.
Remmel, T.K., K.W. Todd, and J. Buttle. 2008. A comparison of existing surficial hydrological layers in a low-relief forested Ontario landscape with those derived from a LiDAR DEM. Forestry Chronicle 84(6):850-865.
Mitchell, S.W., T.K. Remmel, F. Csillag, and M. Wulder. 2008. Distance to second cluster as a measure of classification confidence. Remote Sensing of Environment 112(5):2615-2626.
Buliung, R.N., M.J. Roorda, and T.K. Remmel. 2008. Exploring spatial variety in patterns of activity-travel behaviour: initial results from the Toronto Travel Activity Panel Survey (TTAPS). Transportation 36(6):697-722.
Buliung, R.N. and T.K. Remmel. 2008. Open source, spatial analysis, and travel behaviour research: capabilities of the aspace package. Journal of Geographical Systems 10(2):191-215.
Csillag, F., S. Kabos, and T.K. Remmel. 2008. A spatial clustering perspective on autocorrelation and regionalization. Environmental and Ecological Statistics 15(4):385-401. http://dx.doi.org/10.1007/s10651-007-0068-2 (on-line in 2007).
Csillag, F., S. Kabos, and T.K. Remmel. 2006. Confidence in coincidence. International Journal of Remote Sensing 27(6):1269-1276.
Remmel, T.K. and F. Csillag. 2006. Mutual information spectra for comparing categorical maps. International Journal of Remote Sensing 27(7):1425-1452.
Wulder, M.A., J.C. White, J.E. Luther, G. Strickland, T.K. Remmel, and S.W. Mitchell. 2006. Use of vector polygons for the accuracy assessment of pixel-based land cover maps. Canadian Journal of Remote Sensing 32(3):268-279.
Remmel, T.K., F. Csillag, S.W. Mitchell, and M. Wulder. 2005. Integration of remotely sensed and forest inventory data for national monitoring: Canadian status assessment and research issues. Forest Ecology and Management 207(3):405-428.
Fortin, M-J., B. Boots, F. Csillag, and T.K. Remmel. 2003. On the role of spatial stochastic models in understanding landscape indices in ecology. Oikos 102:203-212.
Remmel, T.K. and F. Csillag. 2003. When are two landscape pattern indices significantly different? Journal of Geographical Systems 5(4):331-351.
Remmel, T.K. and A.H. Perera. 2002. Accuracy of discontinuous surfaces: a case study of boreal forest fires. International Journal of Geographical Information Science 16(3):289-300.
Remmel, T.K. and A.H. Perera. 2001. Fire mapping in a northern boreal forest: assessing AVHRR/NDVI methods of change detection. Forest Ecology and Management 152(1-3):119-129.
Ko, C., G. Sohn, and T.K. Remmel. 2010. Derivation of 3D geometric models of a single tree using high density airborne LiDAR data. Association of Ontario Land Surveyors: 118th Annual General Meeting, February 17-19, Huntsville, Ontario, Canada.
Remmel, T.K. and S.W. Mitchell. 2010. Effect of noise on land cover classification: a systematic analysis. Canadian Association of Geographers Annual General Meeting, June 1-5, Regina, Saskatchewan, Canada.
Lam, D.K. and T.K. Remmel. 2010. Monitoring moisture dynamics in a tree canopy using 4D GIS. Canadian Association of Geographers Annual General Meeting, June 1-5, Regina, Saskatchewan, Canada.
Remmel, T.K. and S.W. Mitchell. 2010. Random and spatially autocorrelated sensor noise effects on image classification. Accuracy 2010. July 20-23, Leicester, UK. (Refereed)
Araya, Y., G. Sohn, and T.K. Remmel. 2010. Remote sensing image classification using Random Forests classifier. Canadian Association of Geographers Annual General Meeting, June 1-5, Regina, Saskatchewan, Canada.
Ko, C., Remmel, T.K., and G. Sohn. 2009. A precise reconstruction of three-dimensional crown shape from airborne LiDAR point clouds. Canadian Association of Geographers Annual General Meeting, May 26-30, Ottawa, Ontario, Canada.
Elliott, M., T.K. Remmel, and D. Bazley. 2009. An integrated investigation of vegetation gradients in the Mackenzie Valley, Northwest Territories, Canada. Canadian Association of Geographers Annual General Meeting, May 26-30, Ottawa, Ontario, Canada.
Remmel, T.K., C. Ko, and R.L. Bello. 2009. Characterizing and comparing GIS polygon shape complexity by iterative shrinking spectra. 6th International Symposium on Spatial Data Quality, July 6-8, St. John's, Newfoundland, Canada. (Refereed)
Ko, C., G. Sohn, and T.K. Remmel. 2009. Classification for deciduous and coniferous trees using airborne LiDAR and internal structure reconstructions. Silvilaser 2009: 8th International Conference on LiDAR Applications for Assessing Forest Ecosystems, October 14-16, College Station, Texas, USA. (Refereed)
Ko, C., G. Sohn, and T.K. Remmel. 2009. Deciduous-coniferous classification and internal structure derivation using LiDAR data. ISPRS Workshop: Laserscanning 2009, September 1-2, Paris, France. (Refereed)
Lam, D.K., and T.K. Remmel. 2009. Green grass, yellow grass, does arrangement really matter? Comparative analysis of uniform composition and changing configuration on spectral signatures. Canadian Association of Geographers Annual General Meeting, May 26-30, Ottawa, Ontario, Canada.
Remmel, T.K. 2009. Investigating global and local categorical map configuration comparisons based on coincidence matrices. Canadian Association of Geographers Annual General Meeting, May 26-30, Ottawa, Ontario, Canada.
Buliung, R. and T.K. Remmel. 2008. Aspace: and open source toolkit for the centrographic home-range estimation of activity spaces. Transportation Research Board 2008 Annual Meeting, January 13-17, Washington, DC, USA. (Refereed)
Remmel, T.K. and C. Ko. 2008. Characterizing and comparing GIS polygon shapes by iterative shrinking: a case study of forest fire residuals and arctic ponds. Canadian Association of Geographers Annual General Meeting, May 20-24, Quebec City, Quebec, Canada.
Mitchell, S.W., T.K. Remmel, and M. Wulder. 2008. How far is it?! The trials of measuring distance in spectral space, in attempts to provide a simple method to assess confidence in per-pixel class assignments. Canadian Association of Geographers Annual General Meeting, May 20-24, Quebec City, Quebec, Canada.
Weng, X. and T.K. Remmel. 2008. Image geometry and spatial resolution effects on forest biophysical variable estimation and regenerating stands. Canadian Association of Geographers Annual General Meeting, May 20-24, Quebec City, Quebec, Canada.
Dobrinescu, A. and T.K. Remmel. 2008. Nested multispectral-multiresolution measurements to characterize boreal clearcut boundaries and revegetation sites: a biophysical variable perspective. Canadian Association of Geographers Annual General Meeting, May 20-24, Quebec City, Quebec, Canada.
Remmel, T.K. and A.H. Perera. 2008. Fuzzy approach for the assessment of the spatial geometry of boreal forest fires. IUFRO Landscape Ecology Working Group International Conference, September 16-18, Chengdu, Sichuan, P.R. China. (Refereed)
Remmel, T.K., A.H. Perera, and C. Eyjolfson. 2007. An assessment of post-fire boreal vegetation residual patterns measured at multiple spatial and thematic resolutions in Ontario. Canadian Association of Geographers Annual General Meeting, May 29-June 2, Saskatoon, Saskatchewan, Canada.
Remmel, T.K. and A.H. Perera. 2007. Geospatial techniques for a multi-resolution assessment of post-fire boreal vegetation residual patterns. Geocomputation 2007, September 3-5, Maynooth, Ireland. (Refereed)
Perera, A.H. and T.K. Remmel. 2007. Post-fire tree residual aggregates in boreal forest landscapes: and assessment of spatial patterns by IKONOS imagery. International Association for Landscape Ecology World Congress, July 8-12, Wageningen, The Netherlands. (Refereed)
Buliung, R., T.K. Remmel, and M. Roorda. 2006. Comparative analysis of weekday and weekend activity spaces. Annual Meeting of the Association of American Geographers, March 7-11, Chicago, Illinois, USA.
Remmel, T.K., S. Mitchell, and M. Wulder. 2006. Distance to second cluster as a measure of classification confidence. 4th International Conference on Geographic Information Science, September 20-23, Münster, Germany. (Refereed)
Mitchell, S., T.K. Remmel, and M. Wulder. 2006. Distance to second cluster as a measure of classification confidence. Free and Open Source Software for Geoinformatics, September 12-16, Lausanne, Switzerland. (Refereed)
Remmel, T.K., K.W. Todd, J. Buttle, G. Bruemmer, J. Pineau, P. Courville, K.W. Durst, J. Holland, R. Maher, M. Ryans, M. Partington, M. Woods, and A. Mutchmor. 2006. Lidar for hydrologic mapping. Winning Solutions 2006: FERIC Winning Solutions 2006, May 10-11, Sault Ste. Marie, Ontario, Canada.
Buliung, R., and T.K. Remmel. 2006. Where have all the weekends gone? Comparative analysis of weekday and weekend activity spaces using data from the Toronto Travel Activity Panel Survey (TTAPS). 53rd Annual North American Meetings of the Regional Science Association International, November 16-18, Toronto, Ontario, Canada. (Refereed)
Mitchell, S.W., T.K. Remmel, F. Csillag, and M. Wulder. 2005. Landscape pattern and per-pixel classification probabilities. GeoComputation International Conference, August 1-3, Ann Arbor, Michigan, USA. (Refereed)
Boots, B., F. Csillag, and T.K. Remmel. 2005. Pattern metrics. Workshop at the US-IALE Conference, State University of New York, College of Environmental Science and Forestry, March 13, Syracuse, New York, USA.
Remmel, T.K. and F. Csillag. 2005. Spectra of coincidences between spatial data sets: toward hierarchical inferential comparisons of categorical maps. GeoComputation International Conference, August 1-3, Ann Arbor, Michigan, USA. (Refereed)
Remmel, T.K. and F. Csillag. 2005. Spectra of coincidences between spatial data sets: toward hierarchical inferential comparisons of categorical maps. In Abstracts of the Canadian Association of Geographers (CAG) Annual Meeting, May 31-June 4, London, Ontario, Canada.
Mitchell, S.W., T.K. Remmel, F. Csillag, and M. Wulder. 2004. Can we infer landscape pattern from per-pixel classification?. In Abstracts of the Canadian Society for Landscape Ecology and Management (CSLEM) Conference, August 25-27, Waterloo, Ontario, Canada.
Remmel, T.K., F. Csillag, and B. Boots. 2004. Comparing maps as spatial processes. In Abstracts of the 5th Annual GEOIDE Scientific Conference (Poster), May 30 - June 1, Gatineau, Québec, Canada.
Remmel, T.K., F. Csillag, and S. Kabos. 2004. Using hierarchical entropy decomposition to compare the spatial patterns found in categorical digital maps. In Abstracts of the Canadian Association of Geographers (CAG) Annual Meeting, May 25-29, Moncton, New Brunswick, Canada.
Remmel, T.K., S.W. Mitchell, F. Csillag, M.A. Wulder, and M.D. Gillis. 2003. Integration of NFI and EOSD in the description of Canada's forests. 25th Canadian Remote Sensing Symposium, October 14-17, Montreal, Quebec, Canada. (Refereed)
Mitchell, S.W., T.K. Remmel, and F. Csillag. 2003. Landscape partitioning: toward integrating local, hierarchical, and global statistics. In Proceedings of the US-International Association for Landscape Ecology (US-IALE) Conference (Poster), April 2-6, Banff, Alberta, Canada. (Refereed)
Remmel, T.K., S.W. Mitchell, and F. Csillag. 2003. Pyramids and (heterogeneous) landscapes. Canadian Association of Geographers Meeting, May 27-31, Victoria, British Columbia, Canada.
Csillag, F., T.K. Remmel, and S.W. Mitchell. 2003. Spatial analysis of disparate forest inventory data. Canadian Association of Geographers Meeting, May 27-31, Victoria, British Columbia, Canada.
Fortin, M-J, B. Boots, F. Csillag, and T.K. Remmel. 2003. Spatial analysis of heterogeneous landscapes. 10th IES Cary Conference (Poster), April 29 - May 1, Millbrook, NY, USA. (Refereed)
Csillag, F., T.K. Remmel, and S. Kabos. 2003. Wavelets, boundaries and the spatial analysis of landscape pattern. In Proceedings of the US-International Association for Landscape Ecology (US-IALE)Conference, April 2-6, Banff, Alberta, Canada. (Refereed)
Remmel, T.K., F. Csillag, and B. Boots. 2003. What is the difference between two maps? In Abstracts of the 4th Annual GEOIDE Scientific Conference (Poster), May 21-23, Victoria, British Columbia, Canada.
Remmel, T.K. and A.H. Perera. 2000. Accuracy of remotely-sensed fire mapping assessed with a GIS database. In Proceeding of GIS 2000 Conference, March 13-16, Toronto, Ontario, Canada. CD-ROM. (Refereed)
Remmel, T.K., F. Csillag, S.W. Mitchell, and M. Wulder. 2004. Toward satellite-based large-area forest inventory: the impact of landscape pattern. In Proceedings of the Canadian Society for Landscape Ecology and Management (CSLEM) Conference, August 25-27, Waterloo, Ontario, Canada.
Remmel, T.K., F. Csillag, S.W. Mitchell, and B. Boots. 2002. Empirical distributions of landscape pattern indices as functions of classified image composition and spatial structure. In Proceedings of the Joint International Symposium on Geospatial Theory, Processing and Applications, July 8-12, Ottawa, Ontario, Canada. (Refereed)
Csillag, F., T.K. Remmel, and S.W. Mitchell. 2002. Toward a statistical framework for landscape pattern analysis. In Proceedings of the US-International Association for Landscape Ecology (US-IALE) Conference, April 23-27, Lincoln, Nebraska, USA. (Refereed)
Remmel, T.K. and F. Csillag. 2001. On the sensitivity of landscape pattern indices to composition and spatial autocorrelation. In Proceeding of the 3rd Annual GEOIDE Meeting (Poster), June 20-22, Fredericton, New Brunswick, Canada.
Fortin, M-J, M. Philibert, T.K. Remmel, and F. Csillag. 2001. Sensitivity analysis of boundary detection on spatial features of heterogeneous landscape. The International Environmetrics Society (TIES), August 13-17, Portland, Oregon, USA. (Refereed)
Fortin, M-J, M. Philibert, T.K. Remmel, and F. Csillag. 2001. Sensitivity analysis of boundary detection on spatial features of heterogeneous landscapes. In Proceedings of the US-International Association for Landscape Ecology (US-IALE) Conference, April 25-29, Tempe, Arizona, USA. (Refereed)
Perera, A.H., T.K. Remmel, L. Buse, and M. Ouellette. 2009. An assessment of residual patches in boreal fires in relation to Ontario’s policy directions for emulating natural forest disturbance. Forest Research Report 169. Queen's Printer for Ontario. 76 p.
Remmel, T.K., and K. Todd. 2006. LiDAR for hydrologic mapping. A sub-report of the LiDAR (Light Detection and Ranging) data for hydrologic mapping & digital elevation modeling project. Trent University. 50 p.
Remmel, T.K. 2013-Pending. PatternClass: a collection of functions for comparing class-focused pattern metrics. Version 1.0. The Comprehensive R Archive Network (CRAN). GPL 3.0 (http://cran.r-project.org). (http://cran.r-project.org/)
Remmel, T.K. and S. Kabos. 2007. hdeco: a collection of functions for decomposing entropy along spatial hierarchical partitions for categorical map comparison. Version 0.4. The Comprehensive R Archive Network (CRAN). GPL 2.0 (http://cran.r-project.org/).
Remmel, T.K. and R.N. Buliung. 2006. aspace: a collection of functions for estimating centrographic statistics. Version 0.1. The Comprehensive R Archive Network (CRAN). GPL 2.0 (http://cran.r-project.org/). [Current Version: 1.2 (2007)]
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.
Upcoming Courses
| Term | Course Number | Section | Title | Type |
|---|---|---|---|---|
| Fall 2021 | EU/GEOG3440 3.0 | A | Remote Sensing for Earth Observation | REMT |
| Winter 2022 | EU/GEOG2420 3.0 | M | Intro. Stats Analysis in Geography | LECT |
| Winter 2022 | EU/GEOG2340 3.0 | M | Introduction to Geomatics | LECT |
| Winter 2022 | EU/GEOG4440 3.0 | M | Processing and Analysis of Earth Observa | LECT |
