Paper Info
Title
Remote Sensing of Forest Burnt Area, Burn Severity, and Post-Fire Recovery: A Review
Abstract
Wildland fires dramatically affect forest ecosystems, altering the loss of their biodiversity and their sustainability. In addition, they have a strong impact on the global carbon balance and, ultimately, on climate change. This review attempts to provide a comprehensive meta-analysis of studies on remotely sensed methods and data used for estimation of forest burnt area, burn severity, post-fire effects, and forest recovery patterns at the global level by using the PRISMA framework. In the study, we discuss the results of the analysis based on 329 selected papers on the main aspects of the study area published in 48 journals within the past two decades (2000-2020). In the first part of this review, we analyse characteristics of the papers, including journals, spatial extent, geographic distribution, types of remote sensing sensors, ecological zoning, tree species, spectral indices, and accuracy metrics used in the studies. The second part of this review discusses the main tendencies, challenges, and increasing added value of different remote sensing techniques in forest burnt area, burn severity, and post-fire recovery assessments. Finally, it identifies potential opportunities for future research with the use of the new generation of remote sensing systems, classification and cloud performing techniques, and emerging processes platforms for regional and large-scale applications in the field of study.
Year
DOI
Venue
2022
10.3390/rs14194714
REMOTE SENSING
Keywords
DocType
Volume
forest fire, remote sensing, burnt area, forest ecosystems, burn severity, post-fire forest recovery, meta-analysis
Journal
14
Issue
ISSN
Citations 
19
2072-4292
0
PageRank 
References 
Authors
0.34
0
9
Name
Order
Citations
PageRank
Eldar Kurbanov100.68
Oleg Vorobev200.34
Sergey Lezhnin300.34
Sha Jinming412.99
Jinliang Wang501.35
Xiaomei Li601.01
Janine Cole700.34
Denis Dergunov800.34
Yibo Wang900.34