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Artículo

THREE DECADES OF REMOTE SENSING ANALYSIS ON FOREST DECLINE RELATED TO CLIMATE CHANGE: A BIBLIOMETRIC STUDY

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.
Zhao, Jinlong (57204615579); Zeng, Lingfeng (55635553800); Wei, Wanjia (59453408000); Liang, Guihong (57194134199); Yang, Weiyi (56047615500); Fu, Haoyang (56048255500); Zeng, Yuping (59422387300); Liu, Jun (55351349000); Zhao, Shuai (57205881934)
Knowledge Graph of Endoscopic Techniques Applied to the Treatment of Lumbar Disc Herniation: A Bibliometric Analysis
2024
10.1097/BSD.0000000000001648
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85210777192&doi=10.1097%2fBSD.0000000000001648&partnerID=40&md5=6350efbc348cb2d2c3f6a29f0268e690
The Second Clinical College, Guangzhou University of Chinese Medicine, Guangdong Provincial Hospital of Chinese Medicine, China; The Second Affiliated Hospital, Guangzhou University of Chinese Medicine, China; The Research Team on Bone and Joint Degeneration and Injury, Guangdong Provincial Academy of Chinese Medical Sciences, China; Medical College of Acupuncture-Moxibustion and Rehabilitation, Guangzhou University of Chinese Medicine, China; Guangdong Second Chinese Medicine Hospital, Guangdong Province Engineering Technology, Research Institute of Traditional Chinese Medicine, Guangzhou, China
All Open Access; Green Open Access
Scopus
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