241
Views
1
CrossRef citations to date
0
Altmetric
Research Article

Forest insect defoliation and mortality classification using annual Landsat time series composites: a case study in northwestern Ontario, Canada

ORCID Icon &
Pages 1175-1180 | Received 20 May 2020, Accepted 20 Sep 2020, Published online: 20 Oct 2020

References

  • Ahmed, O. S., M. A. Wulder, J. C. White, T. Hermosilla, N. C. Coops, and S. E. Franklin. 2017. “Classification of Annual Non-stand Replacing Boreal Forest Change in Canada Using Landsat Time Series: A Case Study in Northern Ontario.” International Journal of Remote Sensing 81 (1): 29–33.
  • Franklin, S. E., H. Fan, and X. Guo. 2008. “Relationship between Landsat TM and SPOT Vegetation Indices and Cumulative Spruce Budworm Defoliation.” International Journal of Remote Sensing 29 (4): 1215–1220. doi:10.1080/01431160701730136.
  • Franklin, S. E., and A. G. Raske. 1994. “Satellite Remote Sensing of Spruce Budworm Forest Defoliation in Western Newfoundland.” Canadian Journal of Remote Sensing 20 (1): 37–47.
  • Fraser, R. H., and R. Latifovic. 2005. “Mapping Insect-induced Tree Defoliation and Mortality Using Coarse Spatial Resolution Satellite Imagery.” International Journal of Remote Sensing 26 (2): 193–200.
  • Hall, R., J. G. Castilla, J. C. White, B. J. Cooke, and R. S. Skakun. 2016. “Remote Sensing of Forest Pest Damage: A Review and Lessons Learned from a Canadian Perspective.” The Canadian Entomologist 148 (S1): S296–S356. doi:10.4039/tce.2016.11.
  • Hall, R. J., P. H. Crown, S. J. Titus, and W. J. Volney. 1995. “Evaluation of Landsat Thematic Mapper Data for Mapping Top Kill Caused by Jack Pine Budworm Defoliation.” Canadian Journal of Remote Sensing 21 (4): 388–399. doi:10.1080/07038992.1995.10855162.
  • Hall, R. J., R. A. Fernandes, C. Butson, E. H. Hogg, J. P. Brandt, B. S. Case, and S. G. Leblanc. 2003. “Relating Aspen Defoliation with Changes in Leaf Area from Field and Satellite Remote Sensing Perspectives.” Canadian Journal of Remote Sensing 29 (3): 299–313. doi:10.5589/m03-001.
  • Hermosilla, T., M. Wulder, J. White, N. Coops, G. Hobart, and L. Campbell. 2016. “Mass Data Processing of Time Series Landsat Imagery: Pixels to Data Products for Forest Monitoring.” International Journal of Digital Earth 9 (11): 1035–1054. doi:10.1080/17538947.2016.1187673.
  • Lavoie, J., M. Girona, and H. Morin. 2019. “Vulnerability of Conifer Regeneration to Spruce Budworm Outbreaks in the Eastern Canadian Boreal Forest.” Forests 10 (10): 850. doi:10.3390/f10100850.
  • Leckie, D., E. Cloney, and S. Joyce. 2005. “Automated Detection and Mapping of Crown Discolouration Caused by Jack Pine Budworm with 2.5m Resolution Multispectral Imagery.” International Journal of Applied Earth Observation and Geoinformation 7 (1): 61–77. doi:10.1016/j.jag.2004.12.002.
  • MacLean, D. A., and W. MacKinnon. 1996. “Accuracy of Aerial Sketch-mapping Estimates of Defoliation.” Canadian Journal of Forest Research 26: 2099–2108. doi:10.1139/x26-238.
  • Navarro, L., H. Morin, Y. Bergeron, and M. Girona. 2018. “Changes in Spatiotemporal Patterns of 20th Century Spruce Budworm Outbreaks in Eastern Canadian Boreal Forests.” Frontiers in Plant Science 9: 1905. doi:10.3389/fpls.2018.01905.
  • Neigh, C., D. K. Bolton, M. Diabate, J. J. Williams, and N. Carvalhais. 2014. “An Automated Approach to Map the History of Forest Disturbance from Insect Mortality and Harvest with Landsat Time-Series Data.” Remote Sensing 6 (4): 2782–2808. doi:10.3390/rs6042782.
  • Oukrop, C., D. Evans, D. Bartos, R. Ramsay, and R. Ryel. 2011. Moderate-scale Mapping Methods of Aspen Stand Types: A Case Study for Cedar Mountain in Southern Utah. Rocky Mountain Research Station General Technical Report RMRS-GTR-259. Fort Collins, Co.: USDA Forest Service.
  • Pasquarella, V. J., B. A. Bradley, and C. E. Woodcock. 2017. “Near-real-time Monitoring of Insect Defoliation Using Landsat Time Series.” Forests 8 (8): 275–288. doi:10.3390/f8080275.
  • Radeloff, V., D. J. Mladenoff, and M. Boyce. 1999. “Detecting Jackpine Budworm Defoliation Using Spectral Mixture Analysis: Separating Effects from Determinants.” Remote Sensing of Environment 69 (2): 156–169. doi:10.1016/S0034-4257(99)00008-5.
  • Rullan, C., A. E. Olthoff, J. A. Delgado de la Mata, and J. A. Pajares-Alonso. 2013. “Remote Monitoring of Forest Insect Defoliation: A Review.” Forest Systems 22 (3): 377–391. doi:10.5424/fs/2013223-04417.
  • Townsend, P. A., A. Singh, J. R. Foster, N. J. Rehberg, C. C. Kingdon, K. N. Eshleman, and S. W. Seagle. 2012. “A General Landsat Model to Predict Canopy Defoliation in Broadleaf Deciduous Forests.” Remote Sensing of Environment 119: 255–265. doi:10.1016/j.rse.2011.12.023.
  • White, J., M. Wulder, G. Hobart, J. Luther, T. Hermosilla, P. Griffiths, N. Coops, et al. 2014. “Pixel-Based Image Compositing for Large-Area Dense Time Series Applications and Science.” Canadian Journal of Remote Sensing 40 (1): 192–212. doi:10.1080/07038992.2014.945827.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.