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Remote sensing-based assessment of vegetation damage by a strong typhoon (Meranti) in Xiamen Island, China

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  • Meiya Wang

    (Fuzhou University)

  • Hanqiu Xu

    (Fuzhou University)

Abstract

Remote sensing is a cost-effective tool for assessing vegetation damage by typhoon events at various scales. Taking Xiamen Island, southeastern China, as a study case, this paper aimed to assess and analyze the vegetation damage caused by Typhoon Meranti landfalling on September 15, 2016, using two high spatial resolution remote sensing images before and after the typhoon event. Seven severely damaged vegetation regions were selected based on the classification of vegetation types and visual interpretation of the images. Regression analysis was used to correct seasonal variation of the two high-solution images before and after typhoon. The vegetation area of the whole of Xiamen Island and the selected seven regions before and after typhoon were then calculated, respectively. Two spectral vegetation indicators, normalized difference vegetation index (NDVI) and fractional vegetation coverage (FVC), were also retrieved for the whole island and the seven regions. By comparing the difference in NDVI values before and after the typhoon of the two high spatial resolution images, we analyzed the most affected vegetation areas, as well as the most seriously damaged vegetation species. The typhoon has caused a decrease in vegetation area by 95.1 ha across the whole Xiamen Island. The mean NDVI and FVC decreased by 0.209 and 13 percentage points, respectively. While, in the seven selected severely damaged areas, the mean NDVI decreased by 0.356–0.444 and FVC decreased by 27–42 percentage points. The visual inspection showed that the tone of typhoon-damaged vegetation became darker, the patches of damaged vegetation became smaller and more fragmented, and the gap between vegetation canopies became larger. The most affected vegetation areas occurred in the southeastern hilly area, Jinshang and Hubin South Roads, as well as the Wuyuan Bay area. The most seriously damaged vegetation type is broad-leaved trees, especially the species, Acacia confusa, Delonix regia, Bauhinia variegata, Chorisia speciosa, Ficus benjamina and F. Concinna.

Suggested Citation

  • Meiya Wang & Hanqiu Xu, 2018. "Remote sensing-based assessment of vegetation damage by a strong typhoon (Meranti) in Xiamen Island, China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 93(3), pages 1231-1249, September.
    • Handle: RePEc:spr:nathaz:v:93:y:2018:i:3:d:10.1007_s11069-018-3351-7
    DOI: 10.1007/s11069-018-3351-7
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    1. Paul C Stoy & Tristan Quaife, 2015. "Probabilistic Downscaling of Remote Sensing Data with Applications for Multi-Scale Biogeochemical Flux Modeling," PLOS ONE, Public Library of Science, vol. 10(6), pages 1-16, June.
    2. Cunjian Yang & Xiaolan Ren & He Huang, 2012. "The vegetation damage assessment of the Wenchuan earthquake of May 2008 using remote sensing and GIS," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 62(1), pages 45-55, May.
    3. James B. Elsner & James P. Kossin & Thomas H. Jagger, 2008. "The increasing intensity of the strongest tropical cyclones," Nature, Nature, vol. 455(7209), pages 92-95, September.
    4. Kuo Li & Guo Li, 2013. "Risk assessment on storm surges in the coastal area of Guangdong Province," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 68(2), pages 1129-1139, September.
    5. Yuanshu Jing & Jian Li & Yongyuan Weng & Jing Wang, 2014. "The assessment of drought relief by typhoon Saomai based on MODIS remote sensing data in Shanghai, China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 71(2), pages 1215-1225, March.
    6. Babita Jangir & A. N. V. Satyanarayana & S. Swati & C. Jayaram & V. M. Chowdary & V. K. Dadhwal, 2016. "Delineation of spatio-temporal changes of shoreline and geomorphological features of Odisha coast of India using remote sensing and GIS techniques," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 82(3), pages 1437-1455, July.
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    3. Guannan Dong & Zhengjia Liu & Guoming Du & Jinwei Dong & Kai Liu, 2022. "Assessment of vegetation damage by three typhoons (Bavi, Maysak, and Haishen) in Northeast China in 2020," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 114(3), pages 2883-2899, December.
    4. Kai Yin & Sudong Xu & Xinghua Zhu & Wenrui Huang & Shuo Liu, 2021. "Estimation of spatial extreme sea levels in Xiamen seas by the quadrature JPM-OS method," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 106(1), pages 327-348, March.
    5. Noy, Ilan & Blanc, Elodie & Pundit, Madhavi & Uher, Tomas, 2023. "Nowcasting from Space: Impact of Tropical Cyclones on Fiji’s Agriculture," ADB Economics Working Paper Series 676, Asian Development Bank.
    6. Xiao Fengjin & Liu Qiufeng, 2023. "An evaluation of vegetation loss due to the super typhoon Sarika in Hainan Island of China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 115(2), pages 1677-1695, January.
    7. Ilan Noy & Elodie Blanc & Madhavi Pundit & Tomas Uher, 2023. "Nowcasting from space: tropical cyclones’ impacts on Fiji’s agriculture," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 118(2), pages 1707-1738, September.
    8. Guo, Beibei & Fang, Yelin & Jin, Xiaobin & zhou, Yinkang, 2020. "Monitoring the effects of land consolidation on the ecological environmental quality based on remote sensing: A case study of Chaohu Lake Basin, China," Land Use Policy, Elsevier, vol. 95(C).

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