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Дата издания
30.06.2023Область исследования
Тип исследования
Аннотация (краткое описание)
Forest fires greatly affect forest ecosystems, causing the loss of their biodiversity and their resilience. In addi-tion, they have a strong impact on the global carbon balance and, ultimately, climate change. This article analyzes studies ofremote sensing techniques and data used to estimate the area of forest burnt, fire severity, fire impacts, and patterns of refor-estation at the global level. The study discusses the results of an analysis based on 329 selected articles on major aspects ofthe field of study published in 48 journals over the past two decades (2000-2020). Article characteristics were analyzed, including journals, spatial extent, geographic distribution, types of remote sensing sensors, ecological zoning, tree species, spectralindi-ces, and accuracy measures used in the studies. The paper also discusses the main trends, problems and the increasing value of various remote sensing methods in assessing the area of forest fires, the severity of fires and post-fire recovery. Finally, it iden-tifies potential opportunities for future research using next-generation remote sensing systems, classification methods and cloud computing, as well as new process platforms for regional and large-scale research applications.DOI
https://doi.org/10.51301/ejsu.2023.i3.05Тип публикаций
Данный документ располагается в коллекциях
Научные издания SU
Engineering Journal of Satbayev University