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2026 Vol.42, Issue 3 Preview Page
Identification of Post-Wildfire Landslide High-Risk Zones in Gangneung, South Korea, Using an Integrated Multi-Source Satellite Analysis

다중 위성 자료 통합 분석을 통한 강릉 산불 이후 산사태 고위험지 식별

June-Seo Lee1
,
Yeong-Tae Choi2*
,
Chan-Young Yune3
이 준서1
,
최 영태2*
,
윤 찬영3
1Member, Graduate Student, Dept. of Smart Infrastructure and Disaster Prevention, Kangwon National Univ.
2Member, Principle Researcher, Korea Railroad Research Institute, Track & Civil Infrastructure Division
3Member, Prof., Dept. of Civil and Environmental Engineering, Kangwon National Univ.
1정회원, 강원대학교 스마트인프라방재학과 석사과정
2정회원, 한국철도기술연구원 궤도토목부 책임연구원
3정회원, 강원대학교 건설환경공학부 교수
*Corresponding Author
30 June 2026. pp. 57-75
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Abstract

Recent climate change has increased the frequency and intensity of wildfires worldwide, thereby exacerbating post-wildfire slope instability and landslide risk. In this study, post-wildfire landslide high-risk zones were identified in areas affected by the 2023 Gangneung wildfire through an integrated analysis of multi-source satellite data and Geographic Information System–based spatial overlay. Wildfire-affected areas were delineated using the normalized difference vegetation index (NDVI) derived from Sentinel-2 imagery, while post-fire landslide susceptibility was evaluated using a logistic regression model. Short-term surface deformation was also quantified using differential interferometric synthetic aperture radar (D-InSAR) analysis based on Sentinel-1 data. The integrated results indicated increased landslide susceptibility and surface deformation in the burned areas, demonstrating the applicability of a quantitative multi-source satellite framework for post-wildfire slope hazard assessment.

Keywords
D-InSAR
Hazard mapping
Landslide susceptibility
NDVI
Wildfire

기후 변화로 산불의 빈도와 규모가 증가함에 따라, 산불 이후 사면 안정성 저하와 산사태 발생 위험이 중요한 문제로 부각되고 있다. 본 연구는 2023년 강릉 산불 피해 지역을 대상으로 다중 위성 자료와 GIS 기반 공간 분석을 통해 산불 이후 산사태 고위험지를 도출하였다. Sentinel-2 영상 기반 NDVI 분석을 통해 산불 피해 지역을 식별하고, 로지스틱 회귀모형을 적용하여 산불 이후 산사태 발생 확률을 평가하였다. 또한 산불 피해 지역을 대상으로 Sentinel-1 SAR 기반 D-InSAR 기법을 활용하여 산불 이후 단기 지표 변위를 분석하였다. 분석 결과, 산불 이후 산사태 발생 확률이 증가하였으며, 산불 피해 지역에서 비피해 지역보다 상대적으로 큰 지표 변위가 관측되었다. 최종적으로, 산사태 발생 확률과 지표 변위 정보를 활용한 다중 지표 기반 단계적 선별 체계는 산불 이후 산사태 고위험지를 공간적으로 식별하는 데 활용 가능함을 확인할 수 있었다.

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Information
  • Publisher :The Korean Geotechnical Society
  • Publisher(Ko) :한국지반공학회
  • Journal Title :Journal of the Korean Geotechnical Society
  • Journal Title(Ko) :한국지반공학회 논문집
  • Volume : 42
  • No :3
  • Pages :57-75
  • Received Date : 2026-03-12
  • Revised Date : 2026-06-23
  • Accepted Date : 2026-06-23
  • DOI :https://doi.org/10.7843/kgs.2026.42.3.57
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