Development of spatial scaling technique of forest health sample point information

Jun Hee Lee, Ji Eun Ryu, Hye In Chung, Yu Young Choi, Seong Woo Jeon, Sun Hee Kim

Research output: Contribution to journalConference articlepeer-review

6 Citations (Scopus)


Forests provide many goods, ecosystem services, and resources to humans such as recreation air purification and water protection functions. In rececnt years, there has been an increase in the factors that threaten the health of forests such as global warming due to climate change, environmental pollution, and the increase in interest in forests, and efforts are being made in various countries for forest management. Thus, existing forest ecosystem survey method is a monitoring method of sampling points, and it is difficult to utilize forests for forest management because Korea is surveying only a small part of the forest area occupying 63.7% of the country (Ministry of Land Infrastructure and Transport Korea, 2016). Therefore, in order to manage large forests, a method of interpolating and spatializing data is needed. In this study, The 1st Korea Forest Health Management biodiversity Shannon;s index data (National Institute of Forests Science, 2015) were used for spatial interpolation. Two widely used methods of interpolation, Kriging method and IDW(Inverse Distance Weighted) method were used to interpolate the biodiversity index. Vegetation indices SAVI, NDVI, LAI and SR were used. As a result, Kriging method was the most accurate method.

Original languageEnglish
Pages (from-to)751-756
Number of pages6
JournalInternational Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
Issue number3
Publication statusPublished - 2018 Apr 30
Event2018 ISPRS TC III Mid-Term Symposium on Developments, Technologies and Applications in Remote Sensing - Beijing, China
Duration: 2018 May 72018 May 10

Bibliographical note

Publisher Copyright:
© Authors 2018.


  • Forest
  • Forest health
  • Forest management
  • IDW
  • Kriging
  • Shannon's index
  • Spatial interpolation
  • Species diversity

ASJC Scopus subject areas

  • Information Systems
  • Geography, Planning and Development


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