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Wildfire likelihood in Canadian treed peatlands based on remote-sensing time-series of surface conditions

  • Published:2023-10 Issue: Volume:296 Page:113747
  • ISSN:0034-4257
  • Container-title:Remote Sensing of Environment
  • language:en
  • Short-container-title:Remote Sensing of Environment

Author:

Pelletier N.,Millard K.,Darling S.

Funder

Natural Resources Canada

Canadian Forest Service

Carleton University

Natural Sciences and Engineering Research Council of Canada

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Geology,Soil Science

Reference106 articles.

1. Remote sensing of drought: Progress, challenges and opportunities;AghaKouchak;Rev. Geophys.,2015

2. The National Fire Danger Rating System as an indicator of the fire business;Andrews,1987

3. Interactive effects of vegetation, soil moisture and bulk density on depth of burning of thick organic soils;Benscoter;Int. J. Wildland Fire,2011

4. A deep learning ensemble model for wildfire susceptibility mapping;Bjånes;Ecol. Inform.,2021
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