Article (Scientific journals)
Assessing typhoon-induced canopy damage using vegetation indices in the Fushan Experimental Forest, Taiwan
Peereman, Jonathan; Hogan, James Aaron; Lin, Teng-Chiu
2020In Remote Sensing, 12 (10), p. 1654
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Keywords :
Canopy cover; Forest disturbance; Forest dynamics; Tropical cyclone; Vegetation index; Enhanced vegetation index; Forest structure; Fushan experimental forest; Infrared indices; Normalized differences; Remote sensing techniques; Vegetation cover; Earth and Planetary Sciences (all)
Abstract :
[en] Cyclonic windstorms profoundly affect forest structure and function throughout the tropics and subtropics. Remote sensing techniques and vegetation indices (VIs) have improved our ability to characterize cyclone impacts over broad spatial scales. Although VIs are useful for understanding changes in forest cover, their consistency on detecting changes in vegetation cover is not well understood. A better understanding of the similarities and differences in commonly used VIs across disturbance events and forest types is needed to reconcile the results from different studies. Using Landsat imagery, we analyzed the change between pre-and post-typhoon VI values (ΔVIs) of four VIs for five typhoons (local name of cyclones in the North Pacific) that affected the Fushan Experimental Forest of Taiwan. We found that typhoons varied in their effect on forest canopy cover even when they had comparable trajectories, wind speeds, and rainfall. Most VIs measured a decrease in forest cover following typhoons, ranging from-1.18% to-19.87%; however, the direction of ΔVI-topography relationships varied among events. All typhoons significantly increased vegetation heterogeneity, and ΔVI was negatively related to pre-typhoon VI across all typhoons. Four of the five typhoons showed that more frequently affected sites had greater VI decreases. VIs ranged in their sensitivity to detect typhoon-induced changes in canopy coverage, and no single VI was most sensitive across all typhoons. Therefore, we recommend using VIs in combination-for example Normalized Difference Infrared Index (NDII) and Enhanced Vegetation Index (EVI), when comparing cyclone-disturbance-induced changes in vegetation cover among disturbances and across forests.
Disciplines :
Environmental sciences & ecology
Author, co-author :
Peereman, Jonathan  ;  Université de Liège - ULiège > Sphères ; Biodiversity Program, Taiwan International Graduate Program, Biodiversity Research Center, Academia Sinica and National Taiwan Normal University, Taipei, Taiwan ; Department of Life Science, National Taiwan Normal University, Taipei, Taiwan ; Biodiversity Research Center, Academia Sinica, Taipei, Taiwan
Hogan, James Aaron ;  Department of Biological Sciences, Florida International University, Miami, United States
Lin, Teng-Chiu;  Department of Life Science, National Taiwan Normal University, Taipei, Taiwan
Language :
English
Title :
Assessing typhoon-induced canopy damage using vegetation indices in the Fushan Experimental Forest, Taiwan
Publication date :
May 2020
Journal title :
Remote Sensing
eISSN :
2072-4292
Publisher :
MDPI AG, Basel, Che
Volume :
12
Issue :
10
Pages :
1654
Peer reviewed :
Peer Reviewed verified by ORBi
Funding text :
Funding: This research was funded by the Ministry of Science and Technology, Taiwan, grant numbers 107-2313-B-003 -001 -MY3, 108-2313-B-003 -001 -MY3.
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since 03 December 2025

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