Development and Validation of a DEM-Based Method for Detecting Topographic Change Areas

Seung-Woo Lee; Kye-Won Jun; Nam-Gyun Kim

doi:10.21729/ksds.2025.18.4.1

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2025 Vol.18, Issue 4 Next Page

Original Article

Development and Validation of a DEM-Based Method for Detecting Topographic Change Areas DEM등을 활용한 땅밀림 지역의 탐지방법 개발과 검증

31 December 2025. pp. 1-9

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Abstract

This study developed an algorithm to analyze land creep hazard zones based on topographic changes in mountainous regions. The proposed algorithm utilized both historical and recent digital elevation models (DEMs) to analyze elevation changes, relative displacements, and topographic patterns derived from terrain, altitude, and curvature parameters. By integrating the results from each analytical method, potential topographic deformation zones were identified, and field verification was conducted to confirm the actual occurrence of terrain changes. As a result of applying the developed algorithm model, approximately 112 areas exhibiting significant topographic changes were identified across Gangwon-do Province. Field verification performed at selected sites demonstrated an accuracy of about 22%, thereby validating the preliminary reliability of the proposed algorithm. Further expansion of verification sites is required to enhance reliability, and the incorporation of additional topographic change detection techniques is expected to improve the algorithm’s performance. The refined model is anticipated to be effectively utilized for long-term monitoring and management of deep-seated landslide risks associated with geomorphic evolution.

Keywords

Land creep

Hazard zone

Detection

Algorithm

본 연구는 산지 지역에서의 지형변화를 기반으로 땅밀림 위험지역을 분석하기 위한 알고리즘을 개발한 것이다. 제안된 알고리즘은 과거와 최신의 수치지형도의 지형, 고도, 곡률을 활용하여 표고변화량, 상대변위량, 지형 패턴을 분석하였다. 각각의 방법으로 분석된 대상지를 종합적으로 검토하여 지형변화 위험지역을 선별하였고, 현장검증을 통해 실제 지형변화 발생지역 여부를 검증하고자 하였다. 본 연구를 통해 개발된 알고리즘 모델을 적용한 결과, 강원도 내 약 112개소의 지형변화 지역을 도출하였으며, 그 중 일부 지역에 대해 현장검증을 실시한 결과 약 22% 정도 정확도로 알고리즘의 타당성을 검증하였다. 향후에는 검증지역을 확대하여 신뢰성을 추가로 검증할 필요가 있으며, 지형변화 탐지 기법을 추가 개발하여 기존 알고리즘을 고도화시킬 경우, 장기적인 지형변화에 따른 땅밀림 위험성 관리에 효과적으로 활용될 수 있을 것으로 기대된다.

키워드

지형변화

땅밀림

위험지역

알고리즘

References

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Korean References Translated from the English

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Information

Publisher :Korean Society of Disaster and Security
Publisher(Ko) :한국방재안전학회
Journal Title :Journal of Korean Society of Disaster and Security
Journal Title(Ko) :한국방재안전학회 논문집
Volume : 18
No :4
Pages :1-9
Received Date : 2025-09-15
Revised Date : 2025-10-19
Accepted Date : 2025-10-23
DOI :https://doi.org/10.21729/ksds.2025.18.4.1

Journal of Korean Society of Disaster and Security ISSN:2466-1147(Print) 2508-285X(Online) 한국방재안전학회 논문집

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Korean References Translated from the English