한국환경복원기술학회지 (Journal of the Korean Society of Environmental Restoration Technology)

  • 제21권4호
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  • Pages.65-73
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  • 2018
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  • 1229-3032(pISSN)
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  • 2733-5011(eISSN)
한국환경복원기술학회 (The Korea Society of Environmental Restoration Technology)
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항공영상을 활용한 도로개발 전·후 산림 훼손지 개체목 분석

Analysis of Individual Tree Change Using Aerial Photograph in Deforested area Before and After Road Construction

  • Choi, Jae-Yong (Department of Environment & Forest Resources, Chungnam National University) ;
  • Kim, Seoung-Yeal (Department of Landscape Architecture, Dankook University) ;
  • Kim, Whee-Moon (Department of Landscape Architecture, Dankook University) ;
  • Song, Won-Kyong (Department of Landscape Architecture, Dankook University) ;
  • Lee, Ji-Young (Department of Environment & Forest Resources, Chungnam National University) ;
  • Choi, Won-Tae (Department of Environment & Forest Resources, Chungnam National University) ;
  • Moon, Guen-Soo (Institute of Agricultural Science, Chungnam National University)
  • 투고 : 2018.07.26
  • 심사 : 2018.08.27
  • 발행 : 2018.08.29
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초록

Although the road construction in forest is increasing and there is a need for development ecological restoration on deforest area, no consideration has been given to individual trees in there. This study analyzed aerial photographs of deforest area before and after road construction for determining the degree of forest destruction by extracting individual trees. Study area was selected in the sites where are damaged by road construction in GongJu-si, YuSung-gu, and YeongDong-gun. The aerial photograph taken 1979 before construction is panchromatic image of 80cm in GSD (Ground Sample Distance) and other photograph taken 2016 after construction is multi-spectral image of 10cm in GSD. In order to minimize the difference of GSD, we conducted image re-sampling process for setting to same GSD for the two photographs. After that we carried out visual interpretation method for determining to change of individual tree. The result found that for GongJu-si of the number of individual tree was 1,014 in 1979 and 886 in 2016, which decreased by 128 (12.6%) and the average width of those decreased from 5.77m to 5.75m by 0.47%. In case of YoungDong-gun, the number of it was 761 in 1979 and 746 in 2016, which decreased by 2.0% and the average width of it decreased from 8.99mm to 8.90m by 1.1%. Lastly in case of YuSung-gu, the number of it was 1,578 in 1979 and 988 in 2016, which decreased by 37.4% and the average width of it decreased from 7.09m to 6.65m by 6.21%. these result imply that road construction causes destruction of forests. Since there are limitations such as errors due to researcher, it is necessary to construct a quantitative analysis method for the change of the deforest area. It is need to study the method of extracting individual tree in deforest area more accurately using high-resolution image of GSD 10cm or more as well. This study can be used as a basic data for the ecological restoration of the deforest area considering characteristics of individual tree such as height, diameter at breast height, and biomass.

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참고문헌

  1. An, S. J.․B. K. An.․D. Y. Kim and S. K. Im. 2012. Accuracy Evaluation of Fire Burn Area Mapping Methods from Satellite Imagers. Jour. Korean Soc. For. 10(2) : 127-135. (in Korean)
  2. Chang, A. J.․K. Y. Yu.․Y. I. Kim. and B. K. Lee. 2006. Estimate of Individual tree and Tree Height using Color Aerial Photograph and Lidar Data. Journal of the Korean Society of Remote Sensing. 22(6) : 543-551. (in Korean)
  3. Erdenechimeg. 2010. Detection of land cover change using landsat image data in desert area. M.S. thesis, Incheon National Univ, Incheon, Korea (in Korean)
  4. Ganzorig, M.․J. W. Lee.․H. K. Kweon.․S. M. Choi and M. K. Lee. 2014. An analysis of year-to-year change of degraded forest land in Mongolia nature reserve Mt. Bogdkhan in Ulaanbaatar. CNU Journal of Agricultural Science 41(3) : 205-211 (in Korean)
  5. Ham, B. Y.․C. Y. Lee.․B. H. Kyung and M. B. Keol. 2013. A Study on Detection of Deforested Land Using Aerial Photographs. Journal of the Korean Society for Geospatial Information System. 21(3) : 11-17 (in Korean) https://doi.org/10.7319/KOGSIS.2013.21.3.011
  6. Hwang, S. R.․M. J. Lee. and I. P. Lee. 2012. Detection of Individual Trees and Estimation of Mean Tree Height using Airborne LIDAR Data. Journal of the Korean Society of Remote Sensing. Journal of Korea spatial information society. 20(3) : 27-38. (in Korean)
  7. Jang, A. J.․K. Y. Yu.․Y. I. Kim and B. K. Lee. 2006. Estimation of Individual Tree and tree Height using Color Aerial Photograph and Lidar Data. Kor. J. Remote Sensing. 22(6) : 543-551 (in Korean)
  8. Kim, D. P.․S. H. Hong.․S. H. Choi.․S. C. Lee and M. Y. Ahn. 2017. Relationship between the Locations of Tunnel Entrance and Areas Affected by Deforestation in the Forest in Korea. Kor. J. Env. Eco. 31(1) : 104-111. (in Korean) https://doi.org/10.13047/KJEE.2017.31.1.104
  9. Lee, K.J. and B.H. Han. 2002. Planting Plan of Ecological Corridor at Destroyed Mountain Area as a Result of Road Construction. Kor. J. Env. Eco. 16(3) : 321-337. (in Korean)
  10. Lee, J. D. and C. H. Jo. 2004. Detecting land cover chang in an urban area by image differencing and image ratioing techniques. Journal of the Korean Society for Geo Spatial Information System 12(2) : 43-52 (in Korean)
  11. Na, H. S.․J. M. Park.․J. Y. Choi. and J. S. Lee. 2015. A Study on Spatial Characteristic of Damaged Forest Areas by Image Interpretation -Focused on DMZ region in Hwacheon and Cheorwon. Jorunal of Photo Geography. 25(3) : 63-73.
  12. Singh, A. 1989. Review Article : Digital change detection techniques using remotely-sensed data. International Journal of Remote Sensing. 10(6) : 989-1003 https://doi.org/10.1080/01431168908903939
  13. Woo, C. S.․J. S. Yoon.․ J. I. Shin and G. S. Lee. 2007. Automatic Extraction of Individual Tree Height in Mountainous Forest Using Airborne Lidar Data. Kor. For. Soc. 96(3) : 251-258. (in Korean)