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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 1-25, July.
  • Handle: RePEc:gam:jlands:v:13:y:2024:i:7:p:1031-:d:1431848
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    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.
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