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Concepts and Applications of Remote Sensing in Forestry pp 371–393Cite as

Restoration of Damaged Forest and Roles of Remote Sensing

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Abstract

Ecological damage refers to the reduction in the value of the environment due to human activities and natural disasters such as climate change and biological disease. The area where ecological damage mainly occurs is the forest, and restoration and management of damage are more important than other ecosystems. If a damaged forest is left unattended, secondary damage such as landslides is highly likely, so it should be restored prior to other ecosystems. The intensity of forest damage is worsening worldwide, and the importance of forest restoration projects at the national level is increasing. However, it is difficult to proceed forest restoration owing to lack of data on location and features of damaged forestry or vegetation species. In the absence of data on damaged forest, policy decision such as restoration prioritization and planning becomes difficult. In this chapter, we provide an overview of the current state of research to detect damaged forest using remote sensing and of the main findings and methodological challenges therein. In addition, the use and role of remote sensing to establish legally appropriate ecological restoration including forest at the national level will be introduced. The results will suggest the importance of remote sensing for the identification and appropriate restoration approaches for damaged forests.

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Authors and Affiliations

  1. AI Semiconductor Research Center, Seoul National University of Science and Technology, Nowon-gu, Seoul, Republic of Korea

    Kyungil Lee

  2. Inchoen Climate and Environment Research Center, Yeonsu-gu, Incheon, Republic of Korea

    Jieun Ryu

  3. Schmid College of Science and Technology, Chapman University, Orange, CA, USA

    Seung Hee Kim

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  1. Kyungil Lee
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  2. Jieun Ryu
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  3. Seung Hee Kim
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Correspondence to Kyungil Lee .

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  1. Universiti Teknologi MARA, Shah Alam, Malaysia

    Mohd Nazip Suratman

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Lee, K., Ryu, J., Kim, S.H. (2022). Restoration of Damaged Forest and Roles of Remote Sensing. In: Suratman, M.N. (eds) Concepts and Applications of Remote Sensing in Forestry . Springer, Singapore. https://doi.org/10.1007/978-981-19-4200-6_19

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