IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v13y2024i7p1031-d1431848.html
   My bibliography  Save this article

Typhoon-Induced Forest Damage Mapping in the Philippines Using Landsat and PlanetScope Images

Author

Listed:
  • Benjamin Jonah Perez Magallon

    (Department of Global Agricultural Sciences, Graduate School of Agriculture and Life Sciences, The University of Tokyo, Tokyo 113-8654, Japan)

  • Satoshi Tsuyuki

    (Department of Global Agricultural Sciences, Graduate School of Agriculture and Life Sciences, The University of Tokyo, Tokyo 113-8654, Japan)

Abstract

Forests provide valuable resources for households in the Philippines, particularly in poor and upland communities. This makes forests an integral part of building resilient communities. This relationship became complex during extreme events such as typhoon occurrence as forests can be a contributor to the intensity and impact of disasters. However, little attention has been paid to forest cover losses due to typhoons during disaster assessments. In this study, forest damage caused by typhoons was measured using harmonic analysis of time series (HANTS) with Landsat-8 Operation Land Imager (OLI) images. The ΔHarmonic Vegetation Index was computed by calculating the difference between HANTS and the actual observed vegetation index value. This was used to identify damaged areas in the forest regions and create a damage map. To validate the reliability of the results, the resulting maps produced using ΔHarmonic VI were compared with the damage mapped from PlanetScope’s high-resolution pre- and post-typhoon images. The method achieved an overall accuracy of 69.20%. The accuracy of the results was comparable to the traditional remote sensing techniques used in forest damage assessment, such as ΔVI and land cover change detection. To further the understanding of the relationship between forest and typhoon occurrence, the presence of time lag in the observations was investigated. Additionally, different contributing factors in forest damage were identified. Most of the forest damage observed was in forest areas with slopes facing the typhoon direction and in vulnerable areas such as near the coast and hill tops. This study will help the government and forest management sectors preserve forests, which will ultimately result in the development of a more resilient community, by making it easier to identify forest areas that are vulnerable to typhoon damage.

Suggested Citation

  • Benjamin Jonah Perez Magallon & Satoshi Tsuyuki, 2024. "Typhoon-Induced Forest Damage Mapping in the Philippines Using Landsat and PlanetScope Images," Land, MDPI, vol. 13(7), pages 1-27, July.
  • Handle: RePEc:gam:jlands:v:13:y:2024:i:7:p:1031-:d:1431848
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/13/7/1031/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2073-445X/13/7/1031/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. 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.
    3. 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.
    4. 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).
    5. Xunan Liu & Yao Zhang & Chenbin Liang & Yayu Yang & Wanru Huang & Ning Jia & Bo Cheng, 2022. "Storm surge damage interpretation by satellite imagery: case review," 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. 112(1), pages 349-365, May.
    6. 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.
    7. 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.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jlands:v:13:y:2024:i:7:p:1031-:d:1431848. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.