4.7 Article

Mapping causal agents of disturbance in boreal and arctic ecosystems of North America using time series of Landsat data

期刊

REMOTE SENSING OF ENVIRONMENT
卷 272, 期 -, 页码 -

出版社

ELSEVIER SCIENCE INC
DOI: 10.1016/j.rse.2022.112935

关键词

Time series; Disturbance; Insects; Landsat; ABoVE; Tasseled Cap; Fire; Logging

资金

  1. NASA ABoVE [NNX15AU63A]
  2. Landsat Science Team funding [140G118C0006]
  3. NASA MEaSUREs [80NSSC18K0994]
  4. NASA [NNX15AU63A, 796697] Funding Source: Federal RePORTER

向作者/读者索取更多资源

The arctic and boreal biomes are undergoing changes in disturbance events due to increasing temperatures. The study used the CCDC algorithm to analyze Landsat observations and map causes of disturbance such as fire, logging, and pest damage. Disturbance rates due to logging remained constant while fires were more episodic, and insect damage was highest between 2005 and 2010.
The arctic and boreal biomes are changing as temperatures increase, including changes in the type, frequency, intensity, and seasonality of disturbances. However, our understanding of the frequency, extent, and causes of disturbance events remains incomplete. Disturbances such as fire, forest harvest, drought, wind, flooding, and insects and pathogens occur at different frequencies and severities, posing challenges to characterize and assess them under a single framework. We used the Continuous Change Detection and Classification (CCDC) algorithm on all available Landsat observations from 1984 to 2014 to detect land cover and land condition change. We mapped the following causes of disturbances annually across the study domain of NASA's Arctic Boreal Vulnerability Experiment (ABoVE): fire, logging, and pest damage. Differences between Landsat Tasseled Cap (TC) values pre- and post-disturbance were used in a random forest classifier to map causal agents. For forested ecosystems, we mapped causal agents including fire, insect, and logging. In areas that were not forest before disturbance, only the fire class was mapped. The result shows that multidimensional spectral-temporal change information is useful for mapping the causes of disturbance in arctic and boreal biomes. We employed two rounds of post-processing and used the information obtained from the comparison between the map and reference data to improve the final map. The user's and producer's accuracies of an aggregated disturbance map were 94.6% (+/- 2.37%) and 89.3% (+/- 21.78%) (95% confidence intervals in parenthesis). When evaluating the causal agents, insect damage was found the most challenging to map and validate. We estimated that 10.8% of the ABoVE core domain was disturbed between 1987 and 2012, with a margin of error of 0.5% at the 95% confidence level. Rates of disturbance due to logging remained constant over time, while fires were more episodic, and insect damage was highest between 2005 and 2010. Overall, fires affected 8.8% of the study area, while logging was 1.4% and insect damage 0.6%. Our maps indicate that pest damage became a significant issue after 2000, but it was more severe for forest ecosystems in Western Canada than in Alaska.

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