THREE DECADES OF REMOTE SENSING ANALYSIS ON FOREST DECLINE RELATED TO CLIMATE CHANGE: A BIBLIOMETRIC STUDY
Por:
Gallardo-Salazar, Jose Luis, Saenz-Romero, Cuauhtemoc, Lindig-Cisneros, Roberto, Lopez-Toledo, Leonel, Blanco-Garcia, Arnulfo, Endara-Agramont, Angel R.
Publicada:
1 ene 2023
Resumen:
Climate change is predicted to lead to increasingly intense and hotter
droughts, causing physiological weakness followed by forest decline in
many regions of the world. Long-and short-range remote sensing
(satellites and unmanned aerial vehicles, commonly called drones) can
sense drought-induced changes in vegetation. Although several studies
have addressed forest decline events, none have analyzed the forest
decline attributable to climate change using remote sensing in a concise
manner. A bibliometric analysis was carried out to characterize the
scientific production reported in the Web of Science repository. The
search descriptors were a combination of keywords related to forest
decline and remote sensing. The results showed 278 articles published
between 1989 and 2021 in 92 journals, with an average annual increase of
31%. A total of 29 nodes and 220 scientific collaboration links were
located, mainly led by researchers from USA, Germany and China. Keyword
analysis using World-TreeMap reflected the association of different key
forest decline phenomena such as drought stress and climate change.
Although the use of satellite information to study and understand forest
decline has been reported for just over three decades, the most notable
feature of the present research was the limited role of drones with only
5 studies. This reveals an area of opportunity to take advantage of the
main strengths of drones, i.e., spatial and temporal resolution, low
cost compared to manned flights, and centimeter accuracy. Therefore, it
is strongly recommended to increase studies to improve the use of
multispectral sensors, thermal and LiDAR technology for long-term
monitoring of forest decline related to climate change.
Filiaciones:
Univ Michoacana, Inst Invest Agr & Forestales, Morelia 58880, Michoacan, Mexico
Univ Michoacana, Inst Invest Recursos Nat, Morelia 58330, Michoacan, Mexico
Univ Nacl Autonoma Mexico, Inst Invest Ecosistemas & Sustentabil, Morelia 58190, Michoacan, Mexico
Univ Michoacana, Fac Biol, Morelia 58030, Michoacan, Mexico
Univ Autonoma Estado Mexico, Inst Ciencias Agr & Rurales, Estado De Mexico 50000, Mexico
gold, All Open Access; Gold
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