Journal of the Korean Association of Geographic Information Studies (한국지리정보학회지)

The Korean Association of Geographic Information Studies (한국지리정보학회)
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A study for Desertification Monitoring and Assessment based on satellite imagery in Tunisia

위성영상기반 튀니지 사막화 모니터링 및 평가에 관한 연구

  • KIM, Ji-Won (Dept. of Climatic Environment, Korea University) ;
  • SONG, Chol-Ho (Dept. of Environmental Science and Ecological Engineering, Korea University) ;
  • PARK, Eun-Been (Dept. of Environmental Science and Ecological Engineering, Korea University) ;
  • LEE, Jong-Yeol (Institute of Life Science and Natural Resources, Korea University) ;
  • CHOI, Sol-E (Dept. of Environmental Science and Ecological Engineering, Korea University) ;
  • LEE, Eun-Jung (Korea Environment Institute) ;
  • LEE, Woo-Kyun (Dept. of Environmental Science and Ecological Engineering, Korea University)
  • 김지원 (고려대학교 기후환경학과) ;
  • 송철호 (고려대학교 환경생태공학과) ;
  • 박은빈 (고려대학교 환경생태공학과) ;
  • 이종열 (고려대학교 생명자원연구소) ;
  • 최솔이 (고려대학교 환경생태공학과) ;
  • 이은정 (한국환경정책 평가연구원) ;
  • 이우균 (고려대학교 환경생태공학과)
  • Received : 2018.10.29
  • Accepted : 2018.12.09
  • Published : 2018.12.31
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Abstract

It is required to monitor and assess the desertification in Tunisia, where the Sahara Desert, which is located in the southern part of Tunisia, is recently expanding northward. In this study, by using remote sensed data, land cover changes were examined, and the Normalized Difference Vegetation Index (NDVI), Topsoil Grain Size Index (TGSI) and Albedo are used to monitor and assess desertification in Tunisia. Decision Tree was constructed, and the frequencies and trends of each assessment indicator, desertification degree and land cover were identified. In addition, we analyzed the correlation between assessment indicators and precipitation. As a result, desertification is generally intensifying northward, especially in areas with high levels of desertification. Also, bivariate correlation analysis showed that Albedo, NDVI and TGSI were all highly correlated with precipitation. It indicates that changes in precipitation have also been shown to affect Tunisian desertification. In conclusion, this study has improved the usability of various methodologies considering the assessment indicators based on satellite imagery, Decision Tree, which is a method of evaluating them complexly, and trends of land cover change.

최근 튀니지는 국토 남쪽의 사하라 사막이 북상하는 추세로 사막화 모니터링과 평가가 요구되고 있다. 본 연구에서는 원격탐사 자료를 활용하여 토지피복 변화를 관찰하고, 정규화식생지수, 표토입자크기지수, 알베도를 산출하여 튀니지의 사막화를 모니터링하였다. 또한, 평가 지표 간 우선순위를 파악하여 Decision Tree (DT)를 구성하였고, 각 사막화 평가 지표, 사막화 등급, 토지피복의 변화빈도와 경향을 확인하였다. 이후, 연구에서 활용한 세 평가 지표와 강수량 간의 상관관계 분석을 수행하였다. 빈도와 경향 분석결과, 튀니지에서는 사막화가 전반적으로 심화되고 있으며, 사막화 정도가 심한 지역이 지리적으로 북상하는 것으로 나타났다. 사막화 평가 지표와 강수량의 상관관계 분석을 시행한 결과, 세 지표 모두 강수량과 높은 상관관계를 갖는 것으로 나타나 강수량의 변화가 튀니지 사막화에 영향을 주고 있음을 확인하였다. 본 연구를 통해 위성영상에 기반한 사막화 지표와 이를 조합하여 평가하는 방식인 Decision Tree, 그리고 토지피복 변화 경향을 고려하는 다양한 방법론의 활용성이 제고되었다.

Keywords

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