• 제목/요약/키워드: Landslide

검색결과 764건 처리시간 0.022초

DETECTING LANDSLIDE LOCATION USING KOMSAT 1AND IT'S USING LANDSLIDE-SUSCEPTIBILITY MAPPING

  • Lee, Sa-Ro;Lee, Moung-Jin
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2006년도 Proceedings of ISRS 2006 PORSEC Volume II
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    • pp.840-843
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    • 2006
  • The aim of this study was to detect landslide using satellite image and apply the landslide to probabilistic landslide-susceptibility mapping at Gangneung area, Korea using a Geographic Information System (GIS). Landslide locations were identified by change detection technique of KOMSAT-1 (Korea Multipurpose Satellite) EOC (Electro Optical Camera) images and checked in field. For landslide-susceptibility mapping, maps of the topography, geology, soil, forest, lineaments, and land cover were constructed from the spatial data sets. Then, the sixteen factors that influence landslide occurrence were extracted from the database. Using the factors and detected landslide, the relationships were calculated using frequency ratio, one of the probabilistic model. Then, landslide-susceptibility map was drawn using the frequency ration and finally, the map was verified by comparing with existing landslide locations. As the verification result, the prediction accuracy showed 86.76%. The landslide-susceptibility map can be used to reduce hazards associated with landslides and to land cover planning.

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HyGIS-Landslide를 이용한 산사태 발생 위험도 평가 (Landslide Risk Assessment Using HyGIS-Landslide)

  • 박정술;김경탁;최윤석
    • 한국지리정보학회지
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    • 제15권1호
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    • pp.119-132
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    • 2012
  • 최근 급증하고 있는 국지성 집중호우로 인해 급경사지를 중심으로 산지토사재해가 빈발하고 있으며 이에 대한 예방과 취약지역 분석을 위해 산사태 위험지도의 중요성이 부각되고 있다. 본 연구에서는 산지하천유역의 토사재해 위험지역 분석을 목적으로 수자원지리정보시스템 기반의 HyGIS-Landslide 콤포넌트를 개발하였다. HyGIS-Landslide는 산림청의 산사태 위험지 판정기준 및 등급기준을 토대로 수치공간자료의 연산결과를 분류한 후 산사태 위험성을 제시하도록 설계되었으며 위험지 판정기준의 가중치를 사용자가 재 설정할 수 있도록 구현하여 산사태 발생공간의 지역적 특성을 반영할 수 있도록 하였다. 본 콤포넌트에서는 사용자가 원하는 지역을 대상으로 현시성 있는 공간자료를 활용할 수 있으며 조사자의 점수보정 과정을 반영하여 시스템 활용성을 높이고자 하였다. HyGIS-Landslide는 HyGIS가 제공하는 지형분석 기능을 통해 사용자 편의를 확보할 수 있으며 산사태 발생구역도와의 중첩연산을 통해 위험지 분류결과의 검증이 가능하다. 본 연구에서는 강원도 인제군의 시험유역을 대상으로 HyGIS-Landslide를 적용하였으며 산사태 맵핑결과와의 중첩비교를 통해 모형의 활용성을 평가하고 위험지 판정기준의 가중치를 재조정하여 위험지역을 보다 효과적으로 분류할 수 있음을 제시하였다.

로지스틱 회귀분석과 퍼지 기법을 이용한 산사태 취약성 지도작성: 보은군을 대상으로 (Landslide susceptibility mapping using Logistic Regression and Fuzzy Set model at the Boeun Area, Korea)

  • 알-마문;장동호
    • 한국지형학회지
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    • 제23권2호
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    • pp.109-125
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    • 2016
  • This study aims to identify the landslide susceptible zones of Boeun area and provide reliable landslide susceptibility maps by applying different modeling methods. Aerial photographs and field survey on the Boeun area identified landslide inventory map that consists of 388 landslide locations. A total ofseven landslide causative factors (elevation, slope angle, slope aspect, geology, soil, forest and land-use) were extracted from the database and then converted into raster. Landslide causative factors were provided to investigate about the spatial relationship between each factor and landslide occurrence by using fuzzy set and logistic regression model. Fuzzy membership value and logistic regression coefficient were employed to determine each factor's rating for landslide susceptibility mapping. Then, the landslide susceptibility maps were compared and validated by cross validation technique. In the cross validation process, 50% of observed landslides were selected randomly by Excel and two success rate curves (SRC) were generated for each landslide susceptibility map. The result demonstrates the 84.34% and 83.29% accuracy ratio for logistic regression model and fuzzy set model respectively. It means that both models were very reliable and reasonable methods for landslide susceptibility analysis.

환경정보시스템을 이용한 산사태 발생위험 예측도 작성: 경상북도를 중심으로 (Development of Landslide Hazard Map Using Environmental Information System: Case on the Gyeongsangbuk-do Province)

  • 배민기;정규원;박상준
    • 한국환경과학회지
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    • 제18권11호
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    • pp.1189-1197
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    • 2009
  • The purpose of this research was develop tailored landslide hazard assessment table (LHAT) in Gyeongsangbuk-do Province and propose building strategies on environmental information system to estimate landslide hazard area according to LHAT. To accomplish this purpose, this research investigated factors occurring landslide at 172 landslide occurred sites in 23 city and county of Gyeongsangbuk-do Province and analyzed what factors effected landslide occurrence quantity using the multiple statistics of quantification method(I). The results of analysis, factors affecting landslide occurrence quantity were shown in order of slope position, slope length, bedrock, aspect, forest age, slope form and slope. And results of the development of LHAT for predict mapping of landslide-susceptible area in Gyeongsangbuk-do Province, total score range was divided that 107 under is stable area(IV class), 107~176 is area with little susceptibility to landslide(III class), 177~246 is area with moderate susceptibility to landslide(II class), above 247 area with severe susceptibility to landslide(I class). According to LHAT, this research built landslide attribute database and made 7 digital theme maps at mountainous area located in Goryeong Gun, Seongju-Gun, and Kimcheon-City. The results of prediction on degree of landslide hazard using environmental information system, area with little susceptibility to landslide(III class) occupied 65.56% and severe susceptibility to landslide(I class) occupied 0.51%.

Landslide Stability Analysis and Prediction Modeling with Landslide Occurrences on KOMPSAT EOC Imagery

  • Chi, Kwang-Hoon;Lee, Ki-Won;Park, No-Wook
    • 대한원격탐사학회지
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    • 제18권1호
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    • pp.1-12
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    • 2002
  • Landslide prediction modeling has been regarded as one of the important environmental applications in GIS. While, landslide stability in a certain area as collateral process for prediction modeling can be characterized by DEM-based hydrological features such as flow-direction, flow-accumulation, flow-length, wetness index, and so forth. In this study, Slope-Area plot methodology followed by stability index mapping with these hydrological variables is firstly performed for stability analysis with actual landslide occurrences at Boeun area, Korea, and then Landslide prediction modeling based on likelihood ratio model for landslide potential mapping is carried out; in addition, KOMPSAT EOC imagery is used to detect the locations and scalped scale of Landslide occurrences. These two tasks are independently processed for preparation of unbiased criteria, and then results of those are qualitatively compared. As results of this case study, land stability analysis based on DEM-based hydrological variables directly reflects terrain characteristics; however, the results in the form of land stability map by landslide prediction model are not fully matched with those of hydrologic landslide analysis due to the heuristic scheme based on location of existed landslide occurrences within prediction approach, especially zones of not-investigated occurrences. Therefore, it is expected that the resets on the space-robustness of landslide prediction models in conjunction with DEM-based landslide stability analysis can be effectively utilized to search out unrevealed or hidden landslide occurrences.

A Long-Runout Landslide Triggered by Extreme Rainfall in Gokseong, South Korea on 7 August 2020

  • Nam, Kounghoon;Wang, Fawu;Dai, Zili;Kim, Jongtae;Choo, Chang Oh;Jeong, Gyo-Cheol
    • 지질공학
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    • 제32권4호
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    • pp.571-583
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    • 2022
  • On 7 August 2020, a large-scale catastrophic landslide was triggered by extreme rainfall at Osan village, Gokseong County, South Jeolla Province, South Korea. The initiation mechanism of the Gokseong landslide was different from those typical landslides that occurred in South Korea. Despite the relatively low elevation and slope degree, the landslide had a long runout distance of about 640 m over a total vertical distance of 90 m. A detailed field investigation and chemical analysis were conducted to understand the possible mechanisms for the high-speed and long-runout behavior of the landslide. The terrain controlled the motion behavior of the landslide and the seepage was observed at the whole landslide body. The clay-rich soils covered on granite bedrock of the landslide deposition area from the rice paddy field to the landslide crown. The results of this study may provide basic data for further research on the mechanisms for landslide initiation and propagation.

Isopleth Mapping기법에 의한 봉계지역의 Landslide 활동성 연구 (Recognition of Landslide Activites in Bonggye Area Using Isopleth Mapping Techniques)

  • 김윤종;유일현
    • 대한원격탐사학회지
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    • 제5권2호
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    • pp.123-131
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    • 1989
  • The inventory maps of landslide deposits show where landsliding has occured in the past, and serve as a general guide to slope stability. Isopleth maps derived from those inventory maps, generalized and quantify the areal distribution of landslide deposits in contour form. Isopleth maps can provide an economical means for the recognition of landslide activity and assessing the degree of landslide hazard in a large area, especially rural areas. Isopleth maps of Bonggye area, where the degree of landslide hamedial efforts during the period of 1954-1971.

산사태 취약지에서의 토지피복상태 변화 추적 (A Trace of Landcover Change in a Landslide Vulnerable Area)

  • 양인태;천기선;박재국;이상윤
    • 한국측량학회:학술대회논문집
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    • 한국측량학회 2007년도 춘계학술발표회 논문집
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    • pp.375-378
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    • 2007
  • Kangwondo area is mountainous and landslide happens easily during the rainy period in summer time. Especially, when there is torrential downpour caused by the unusual weather change, there will be greater possibility to see landslide. Another reason behind landslide is the continuous forest fire in these several years. Since the surface of the earth has been changed by the fire, when rainfall comes, landslide just happens easily. Also, it is reported that landcover condition, excepted rainfall condition, is the most effect for determining landslide susceptibility area. In this study, it is determined a landslide vulnerable area and landcover information is extracted from four satellite image(Landsat TM), about the landslide vulnerable area, which is pictured for each year. And which distribution change is analyzed.

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A Comparative Analysis of Landslide Susceptibility Assessment by Using Global and Spatial Regression Methods in Inje Area, Korea

  • Park, Soyoung;Kim, Jinsoo
    • 한국측량학회지
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    • 제33권6호
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    • pp.579-587
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    • 2015
  • Landslides are major natural geological hazards that result in a large amount of property damage each year, with both direct and indirect costs. Many researchers have produced landslide susceptibility maps using various techniques over the last few decades. This paper presents the landslide susceptibility results from the geographically weighted regression model using remote sensing and geographic information system data for landslide susceptibility in the Inje area of South Korea. Landslide locations were identified from aerial photographs. The eleven landslide-related factors were calculated and extracted from the spatial database and used to analyze landslide susceptibility. Compared with the global logistic regression model, the Akaike Information Criteria was improved by 109.12, the adjusted R-squared was improved from 0.165 to 0.304, and the Moran’s I index of this analysis was improved from 0.4258 to 0.0553. The comparisons of susceptibility obtained from the models show that geographically weighted regression has higher predictive performance.

LAND SLIDE DISPLACEMENT DETECTION USING TIME SERIES DIGITAL SURFACE MODEL ACQUIRED BY A TERRESTRIAL LASER SCANNER

  • Jeong, Jong-Hyeok;Takagi, Masataka
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2006년도 Proceedings of ISRS 2006 PORSEC Volume II
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    • pp.567-569
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    • 2006
  • Recently, the terrestrial laser scanner is considered as useful measurement equipment for acquiring a three-dimensional data. In this study, a terrestrial laser scanner which has +/- 2.5cm accuracy is examined whether the terrestrial laser scanner is reliable to present the tendency of landslide movement. The test area is covered by protection blocks, and they are being moved by landslide movement. Landslide movement was detected by measuring the movement of protection blocks. Totally three scenes of test area were acquired during 2004 and 2006. The three scenes of the protection blocks were registered in global coordinate system, then the landslide movement was investigated. The landslide movement detected in the three scenes was evaluated by comparing with landslide movement measured by a total station. Although the measurement accuracy of landslide using the terrestrial laser scanner was worse than the total station, the scanning data showed the tendency of landslide movement of the test area.

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