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Publications

* Denotes student co-author.

Articles in Peer Reviewed Journals

  1. Guth, P.L., Trevisani, S., Grohmann, C.H., Lindsay, J., Gesch, D., Hawker, L., and Bielski, C. 2024. Ranking of 10 Global One-Arc-Second DEMs Reveals Limitations in Terrain Morphology Representation. Remote Sensing 16, 3273. DOI: 10.3390/rs16173273.
  2. Lisso, L., Lindsay, J., Berg, A. 2024. Evaluating the topographic factors for land suitability mapping of specialty crops in southern Ontario. Agronomy 14(2), 319. DOI: 10.3390/agronomy14020319.
  3. Alijani, Z., Eyre, R, Saurette, D. Laamrani, A., Lindsay, J., Western, A., Berg, A. 2024. An efficient soil moisture sampling scheme for the improvement of remotely sensed soil moisture validation over an agricultural field. Geoderma 442: 116763, 2422-2439. DOI: 10.1016/j.geoderma.2023.116763.
  4. Asgari, M., Yang, W., Lindsay, J., Shao, H., Liu, Y., Miranda, R.D.Q. and Dehnavi, M.M., 2023. Development of a knowledge-sharing parallel computing approach for calibrating distributed watershed hydrologic models. Environmental Modelling & Software, 164, p.105708.
  5. Alijani, Z., Meloche, J., McLaren, A., Lindsay, J., Roy, A., Berg, A. 2023. A comparison of three surface roughness characterization techniques: photogrammetry, pin profiler, and smartphone-based LiDAR. International Journal of Digital Earth 15: 1, 2422-2439. DOI: 10.1080/17538947.2022.2160842.
  6. Newman*, D.R., Saurette, D.D., Cockburn, J.M.H., Drǎguţ, L., Lindsay, J.B. 2023. Assessing spatially heterogeneous scale representation with applied digital soil mapping Environmental Modelling & Software, 160, 105612 13 pp. DOI: 10.1016/j.envsoft.2022.105612.
  7. Lindsay, S., Hsu, S., Ragunathan, S., Lindsay, J. The impact of climate change related extreme weather events on people with pre-existing disabilities and chronic conditions: a scoping review. Disability and Rehabilitation, 1-21; https://doi.org/10.1080/09638288.2022.2150328
  8. Newman*, D.R., Cockburn, J.M.H., Drǎguţ, L., Lindsay, J.B. 2022. Local scale optimization of geomorphometric land surface parameters using scale-standardized Gaussian scale-space Computers and Geosciences, 165, 105144 15 pp. DOI: 10.1016/j.cageo.2022.105144.
  9. Asgari*, M, Yang, W, Lindsay, J, Tolson, B, Dehnavi, MM. 2022. A review of parallel computing applications in calibrating watershed hydrologic models. Environmental Modeling and Software, 151 (2022) 105370 15 pp. DOI: 10.1016/j.envsoft.2022.105370
  10. Newman*, D.R., Cockburn, J.M.H., Drǎguţ, L., Lindsay, J.B. 2022. Evaluating Scaling Frameworks for Multiscale Geomorphometric Analysis. Geomatics, 2, 36-51. https://doi.org/10.3390/geomatics2010003.
  11. Eyre*, R, Lindsay, JB, Laamrani, L, Berg, A. 2021. Within-field yield prediction in cereal crops using LiDAR-derived topographic attributes with geographically weighted regression models. Remote Sensing, 13(20), 4152; https://doi.org/10.3390/rs13204152.
  12. Van Nieuwenhuizen*, N, Lindsay, JB, DeVries, B. 2021. Smoothing of digital elevation models and the alteration of overland flow path length distributions. Hydrological Processes, 35(7), e14271, DOI: 10.1002/hyp.14271.
  13. Alijani*, Z, Lindsay, JB, Chabot, M, Rowlandson, T, and Berg, A 2021. Sensitivity of C-band SAR polarimetric variables to the directionality of surface roughness parameters. Remote Sensing. 13(11), 2210; https://doi.org/10.3390/rs13112210
  14. Van Nieuwenhuizen*, N, Lindsay, JB, DeVries, B. 2021. Automated mapping of transportation embankments in fine-resolution LiDAR DEMs. Remote Sensing. 13(7), 1308; https://doi.org/10.3390/rs13071308
  15. Lindsay, JB, Yang, W, Hornby, DD. 2019. Drainage network analysis and structuring of topologically noisy vector stream data. ISPRS International Journal of Geo-Information. 8(9), 422; DOI: 10.3390/ijgi8090422
  16. Lindsay JB, Francioni* A, Cockburn JMH. 2019. LiDAR DEM smoothing and the preservation of drainage features. Remote Sensing, 11(16), 1926; DOI: 10.3390/rs11161926.
  17. Roberts* KC, Lindsay JB, Berg AA. 2019. An analysis of ground-point classifiers for terrestrial LiDAR. Remote Sensing, 11(16), 1915; DOI: 10.3390/rs11161915.
  18. Lindsay JB, Newman* DR, Francioni* A. 2019. Scale-optimized surface roughness for topographic analysis. Geosciences, 9(7) 322. DOI: 10.3390/geosciences9070322.
  19. Newman* D, Lindsay JB, Cockburn JMH. 2018. Measuring hyperscale topographic anisotropy as a continuous landscape property. Geosciences, 8(8) 1-14. DOI: 10.3390/geosciences8080278.
  20. Liu Y, Yang W, Shao H, Yu Z, Lindsay JB. 2018. Development of an integrated modelling system for evaluating water quantity and quality effects of individual wetlands in an agricultural watershed. Water, 10(6). DOI: 10.3390/w10060774.
  21. Newman* DR, Lindsay JB, Cockburn JM. 2018. Evaluating metrics of local topographic position for multiscale geomorphometric analysis. Geomorphology, 312(1): 40-50. DOI: 10.1016/j.geomorph.2018.04.003.
  22. Chabot* M, Lindsay J, Berg A, Rowlandson T. 2018. Comparing the use of terrestrial LiDAR scanners and pin profilers for deriving agricultural roughness statistics. Canadian Journal of Remote Sensing, 44(2). DOI: 10.1080/07038992.2018.1461559. (winner of the CJRS 2018 Best Paper Award)
  23. Shao H, Yang W, Lindsay J, Liu Y, Yu Z, Oginskyy A. 2017. An open source GIS-based decision support system for watershed evaluation of best management practices. Journal of the American Water Resources Association, 53(3): 521–531. DOI: 10.1111/1752-1688.12521
  24. Fuss* CE, Berg AA, Lindsay JB. 2016. DEM fusion using a modified k-means clustering algorithm. The International Journal of Digital Earth, 9(12): 1242-1255. DOI: 10.1080/17538947.2016.1208685
  25. Lindsay JB. 2016. Whitebox GAT: A case study in geomorphometric analysis. Computers & Geosciences, 95: 75-84. DOI: 10.1016/j.cageo.2016.07.003
  26. Woodrow* K, Lindsay JB, Berg AA. 2016. Evaluating DEM conditioning techniques, elevation source data, and grid resolution for field-scale hydrological parameter extraction. Journal of Hydrology, 540: 1022–1029. DOI: 10.1016/j.jhydrol.2016.07.018
  27. Lindsay JB. 2016. The practice of DEM stream burning revisited. Earth Surface Processes and Landforms, 41(5): 658–668. DOI: 10.1002/esp.3888
  28. Bhamjee* R, Lindsay JB, Cockburn J. 2016. Monitoring ephemeral headwater streams: A paired-sensor approach. Hydrological Processes, 30(6): 888–898. DOI: 10.1002/hyp.10677
  29. Lindsay JB. 2016. Efficient hybrid breaching-filling sink removal methods for flow path enforcement in digital elevation models. Hydrological Processes, 30(6): 846–857. DOI: 10.1002/hyp.10648
  30. Lindsay J, Cockburn J, Russell H. 2015. An integral image approach to performing multi-scale topographic position analysis. Geomorphology, 245: 51-61. DOI: 10.1016/j.geomorph.2015.05.025
  31. Molder B, Cockburn J, Berg A, Lindsay J, Woodrow* K. 2015. Sediment-assisted nutrient transfer from a small, no-till, tile drained watershed in southwestern Ontario, Canada. Agricultural Water Management, 152: 31-40. DOI: 10.1016/j.agwat.2014.12.010
  32. Lindsay J, Dhun* K. 2015. Modelling surface drainage patterns in altered landscapes using LiDAR. International Journal of Geographical Information Science, 29: 1-15. DOI: 10.1080/13658816.2014.975715
  33. Peirce* SE, Lindsay JB. 2015. Characterizing ephemeral streams in a southern Ontario watershed using electrical resistance sensors. Hydrological Processes, 29: 103-111. DOI: 10.1002/hyp.10136
  34. Goulsbra* C, Evans M, Lindsay J. 2014. Temporary streams in a peatland catchment: Pattern, timing, and controls on stream network expansion and contraction. Earth Surface Processes and Landforms, 39: 790-803. DOI: 10.1002/esp.3533
  35. Lindsay JB, Seibert J. 2013. Measuring the significance of a divide to local drainage patterns. International Journal of Geographical Information Science, 27: 1453-1468. DOI: 10.1080/13658816.2012.705289
  36. Bhamjee* R, Lindsay JB. 2011. Ephemeral stream sensor design using state loggers. Hydrology and Earth System Sciences, 15: 1009– 1021. DOI: 10.5194/hess-15-1009-2011
  37. Evans M, Lindsay J. 2010. Impact of gully erosion on carbon sequestration in blanket peatlands. Climate Research, 45: 31-41.
  38. Rothwell JJ, Lindsay JB, Evans MG, Allott TE. 2010. Modelling suspended sediment lead concentrations in contaminated peatland catchments using digital terrain analysis. Ecological Engineering, 36: 623–630. DOI: 10.1016/j.ecoleng.2008.10.010
  39. Evans M, Lindsay J. 2010. High resolution quantification of gully erosion in upland peatlands at the landscape scale. Earth Surface Processes and Landforms, 35: 876–886. DOI: 10.1002/esp.1918
  40. Goulsbra* C, Lindsay J, Evans M. 2009. A new approach to the application of electrical resistance sensors to measuring the onset of ephemeral streamflow in wetland environments. Water Resources Research, 45.
  41. Lindsay JB, Evans MG. 2008. The influence of elevation error on the morphometrics of channel networks extracted from DEMs and the implications for hydrological modelling. Hydrological Processes, 22: 1588–1603. DOI: 10.1002/hyp.6728
  42. Lindsay JB, Rothwell JJ, Davies H. 2008. Mapping outlet points used for watershed delineation onto DEM-derived stream networks. Water Resources Research, 44. DOI: 10.1029/2007WR006507
  43. Rothwell J, Lindsay J. 2007. Mapping contemporary magnetic mineral concentrations in peat soils using fine-resolution digital terrain data. Catena, 70: 465–474. DOI: http://dx.doi.org/10.1016/j.catena.2006.12.001
  44. Rothwell JJ, Evans MG, Lindsay JB, Allott TE. 2007. Scale-dependent spatial variability in peatland lead pollution in the southern pennines, UK. Environmental Pollution, 145: 111–120. DOI: http://dx.doi.org/10.1016/j.envpol.2006.03.037
  45. Lindsay JB. 2006. Sensitivity of channel mapping techniques to uncertainty in digital elevation data. International Journal of Geographical Information Science, 20: 669–692. DOI: 10.1080/13658810600661433
  46. Lindsay JB, Creed IF. 2006. Distinguishing actual and artefact depressions in digital elevation data. Computers & Geosciences, 32: 1192–1204. DOI: 10.1016/j.cageo.2005.11.002
  47. Lindsay JB, Creed IF. 2005a. Removal of artifact depressions from digital elevation models: Towards a minimum impact approach. Hydrological Processes, 19: 3113–3126. DOI: 10.1002/hyp.5835
  48. Lindsay JB, Creed IF. 2005b. Sensitivity of digital landscapes to artifact depressions in remotely-sensed DEMs. Photogrammetric Engineering & Remote Sensing, 71: 1029–1036. DOI: 10.14358/PERS.71.9.1029
  49. Lindsay JB. 2005. The terrain analysis system: A tool for hydro-geomorphic applications. Hydrological Processes, 19: 1123–1130. DOI: 10.1002/hyp.5818
  50. Lindsay JB, Creed IF, Beall FD. 2004. Drainage basin morphometrics for depressional landscapes. Water Resources Research, 40(9), W09307. DOI: 10.1029/2004WR003322
  51. Lindsay JB. 2003. A physically based model for calculating contributing area on hillslopes and along valley bottoms. Water Resources Research, 39. DOI: 10.1029/2003WR002576
  52. Lindsay JB, Shang JQ, Rowe RK. 2002. Using complex permittivity and artificial neural networks for contaminant prediction. Journal of Environmental Engineering, 128: 740–747.
  53. Lindsay JB, Ashmore PE. 2002. The effects of survey frequency on estimates of scour and fill in a braided river model. Earth Surface Processes and Landforms, 27: 27–43. DOI: 10.1002/esp.282

Book Chapters

  1. Lindsay J, Rothwell J. 2008. Modelling channelling and deflection of wind by topography. In Advances in Digital Terrain Analysis, Zhou Q, Lees B, and Tang G (eds). Springer: Berlin, Heidelberg; 383–405.
  2. Lindsay JB. 2008. Geomorphometry in TAS GIS. In Geomorphometry: Concepts, software, applications, Hengl T and Reuter H (eds). Elsevier: Amsterdam; 367–386.

Selected Conference Presentations

  1. Lindsay JB 2023. The case for locally scale optimized land-surface parameters. Geomorphometry 2023, Iasi, Romania; July 10-14. (Keynote Presentation) Download Presentation Slides
  2. Lindsay JB 2023. (Extended abstract) The time-in-daylight land-surface parameter. Geomorphometry 2023, Iasi, Romania; July 10-14. DOI: 10.5281/zenodo.7879601 (Winner of Best Paper)
  3. Lindsay JB 2020. (Extended abstract accepted but conference postponed until 2021 due to covid-19) Pit-centric depression removal methods. Geomorphometry 2020, Perugia, Italy; June 22-26, 2020 (postponed to summer 2021). DOI: 10.30437/GEOMORPHOMETRY2020_4
  4. Lindsay JB, Van Nieuwenhuizen* N. 2020. Road embankments in LiDAR DEMs. American Water Resources Association (AWRA) 2020 Geospatial Water Technology Conference, Austin, TX, USA; March 23-26 (Rescheduled to virtual conference due to Covid-19, August 4-13, 2020).
  5. Lindsay JB, Newman* DR. 2018. Hyper-scale analysis of surface roughness. Geomorphometry 2018: 5th International Conference of the ISG, Boulder, Colorado, USA; Aug. 13-17. slides
  6. Newman* D, Lindsay JB, Cockburn JMH. 2017. Evaluating the performance of local topographic position metrics for multiscale applications. CAGOnt, Kingston, Canada; Oct. 20-21.
  7. Lindsay J, Yang W, Hornby DD. 2017. Drainage network analysis of topologically noisy vector stream data using a priority-flood algorithm. Canadian Geophysical Union National Meeting, Vancouver, Canada; May 28-31.
  8. Lindsay J, Cockburn J, Bhamjee* R, Tweedie* J, Roberts* R. 2017. Evaluating low-flow conditions from channel characteristics and water level. Canadian Geophysical Union National Meeting, Vancouver, Canada; May 28-31.
  9. Lindsay J, Gallant J, Cockburn J, Russell H. 2015. An integral image approach to performing multi-scale topographic position analysis. American Geophysical Union/Canadian Geophysical Union Joint Assembly, Montreal, Canada; 05/2015.
  10. Lindsay, JB. 2014. The Whitebox Geospatial Analysis Tools project and open-access GIS. Proceedings of the GIS Research UK 22nd Annual Conference, The University of Glasgow, 16-18 April, DOI: 10.13140/RG.2.1.1010.8962.
  11. Lindsay JB. 2013 (Invited). Digital elevation model processing tools for the derivation of geomorphometric information. XVI Brazilian Remote Sensing Symposium, Foz do Iguaçú, Brazil, April 13-18.
  12. Lindsay JB. Dhun* K. 2012. Too much information: coping with the topographic detail provided by LiDAR for surface drainage mapping. Canadian Geophysical Union and Canadian Water Resources Association Annual Meeting, Banff, Canada-Alberta, July.
  13. Byrne J, Lindsay JB, Berg A. 2012. Open source GIS based integrated watershed management. American Geophysical Union Fall Meeting, San Francisco, United States of America, December.
  14. Lindsay J, Bhamjee* R. 2011 (Invited). Drainage network expansion and contraction in ephemeral headwater streams. Prediction in Ungauged Basins (PUB) Workshop on Temporary Streams, Drumheller, Canada-Alberta, April.

Maps

  1. Lindsay, JB. 2015. Multi-scale topographic positions of North America. Presented at the 27th International Cartographic Association (ICA) Conference, August 23-28, 2015 Rio de Janeiro, Brazil.

Other Works

  1. Wilford J, Basak S, Lindsay J. 2020. Multiscale topographic position image of the Australian continent. Exploring the Future, a publication of the Australian Government, Geoscience Australia.
  2. Lindsay JB. 2018. WhiteboxTools User Manual. DOI: 10.13140/RG.2.2.22964.96648 (available with WhiteboxTools download).
  3. Lindsay JB. 2018. A new method for the removal of off-terrain objects from LiDAR-derived raster surface models. DOI: 10.13140/RG.2.2.21226.62401
  4. Lindsay, JB. 2016. A Guide to the Academic Writing Style. 9 pp. DOI: 10.13140/RG.2.1.3117.2724/1.

 

Don't see a downloadable copy of an article you're interested in?
Please contact Prof. John Lindsay (jlindsay@uoguelph.ca) for PDF's of older research articles. Prof. Lindsay is also on ResearchGate.
Flow accumulation raster
Multiscale topographic position map

Contact Information

Dr. John Lindsay
Rm. 346 Hutt Building
Department Geography, Environment & Geomatics
University of Guelph
50 Stone Rd. East
Guelph, ON, Canada, N1G 2W1

Email: jlindsay@uoguelph.ca
Phone: 519-824-4120 ext. 56074
Find me: LinkedIn, ResearchGate.


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