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Articles containing the keyword 'forest change'

Category : Climate resilient and sustainable forest management – Review article

article id 23076, category Climate resilient and sustainable forest management – Review article
Joanne C. White. (2024). Characterizing forest recovery following stand-replacing disturbances in boreal forests: contributions of optical time series and airborne laser scanning data. Silva Fennica vol. 58 no. 2 article id 23076. https://doi.org/10.14214/sf.23076
Keywords: regeneration; fire; time series; Landsat; harvest; forest change
Highlights: Remote sensing contributions to monitoring of post-disturbance forest recovery in the boreal are synthesized; Definitions of forest recovery need to be clear and measurable and will vary by application; Landsat time series represent a significant innovation in recovery assessments, but the boreal biome is underrepresented in this research; Opportunities for future research directions and priorities are highlighted.
Abstract | Full text in HTML | Full text in PDF | Author Info
The success and rate of forest regeneration following disturbance has implications for sustainable forest management, climate change mitigation, and biodiversity, among others. Systematic monitoring of forest regeneration over large and often remote areas of the boreal forest is challenging. The use of remotely sensed data to characterize post-disturbance recovery in the boreal forest has been an active research topic for more than 30 years. Innovations in sensors, data policies, curated data archives, and increased computational power have enabled new insights into the characterization of post-disturbance forest recovery, particularly following stand-replacing disturbances. Landsat time series data have emerged as an important data source for post-disturbance forest recovery assessments, with Landsat’s 40-year archive of 30-m resolution data providing consistent observations on an annual time step and enabling retrospective capacity to establish spatially explicit recovery baselines. The application of remote sensing for monitoring post-disturbance forest recovery is a rapidly growing area of research globally; however, despite the large amount of disturbance and the disproportionate effects of climate change in the boreal, the boreal biome is relatively underrepresented in the remote sensing forest recovery literature. Herein, the past and present contributions of optical time series and airborne laser scanning data to the characterization of forest recovery in boreal forests are highlighted, and future research priorities are identified.
  • White, Canadian Forest Service, Pacific Forestry Centre, Natural Resources Canada, 506 West Burnside Road, Victoria, B.C., V8Z 1M5, Canada ORCID https://orcid.org/0000-0003-4674-0373 E-mail: joanne.white@nrcan-rncan.gc.ca (email)

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