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Multi-temporal LiDAR and Landsat quantification of fire-induced changes to forest structure

Dates

Publication Date

Citation

T. Ryan McCarley, Crystal A. Kolden, Nicole M. Vaillant, Andrew T. Hudak, Alistair M.S. Smith, Brian M. Wing, Bryce S. Kellogg, and Jason R Kreitler, 2017-03-15, Multi-temporal LiDAR and Landsat quantification of fire-induced changes to forest structure: Remote Sensing of Environment, v. 191, 419–432 p.

Summary

Abstract (from http://www.sciencedirect.com/science/article/pii/S0034425716305016): Measuring post-fire effects at landscape scales is critical to an ecological understanding of wildfire effects. Predominantly this is accomplished with either multi-spectral remote sensing data or through ground-based field sampling plots. While these methods are important, field data is usually limited to opportunistic post-fire observations, and spectral data often lacks validation with specific variables of change. Additional uncertainty remains regarding how best to account for environmental variables influencing fire effects (e.g., weather) for which observational data cannot easily be acquired, and whether pre-fire agents of change such as bark [...]

Contacts

Communities

  • National and Regional Climate Adaptation Science Centers
  • Northwest CASC

Associated Items

Tags

Categories
Organization
Drought, Fire and Extreme Weather
Landscapes
Types

Provenance

Data source
Input directly

Additional Information

Citation Extension

journalRemote Sensing of Environment
parts
typeVolume
value191
typePages
value419–432
citationTypeJournal Article

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