[논문]Current and Future Status of GIS-based Landslide Susceptibility Mapping: A Literature Review

Lee, Saro

doi:10.7780/kjrs.2019.35.1.12

Current and Future Status of GIS-based Landslide Susceptibility Mapping: A Literature Review 원문보기

대한원격탐사학회지 = Korean journal of remote sensing, v.35 no.1, 2019년, pp.179 - 193

Lee, Saro (Geoscience Platform Research Division, Korea Institute of Geoscience and Mineral Resources (KIGAM))

Abstract ▼ AI-Helper

Landslides are one of the most damaging geological hazards worldwide, threating both humans and property. Hence, there have been many efforts to prevent landslides and mitigate the damage that they cause. Among such efforts, there have been many studies on mapping landslide susceptibility. Geographic information system (GIS)-based techniques have been developed and applied widely, and are now the main tools used to map landslide susceptibility. We reviewed the status of landslide susceptibility mapping using GIS by number of papers, year, study area, number of landslides, cause, and models applied, based on 776 articles over the last 20 years (1999-2018). The number of studies published annually increased rapidly over time. The total study area spanned 65 countries, and 47.7% of study areas were in China, India, South Korea, and Iran, where more than 500 landslides, 27.3% of all landslides, have occurred. Slope (97.6% of total articles) and geology (82.7% of total articles) were most often implicated as causes, and logistic regression (26.9% of total articles) and frequency ratio (24.7% of total article) models were the most widely used models. We analyzed trends in the causes of and models used to simulate landslides. The main causes were similar each year, but machine learning models have increased in popularity over time. In the future, more study areas should be investigated to improve the generalizability and accuracy of the results. Furthermore, more causes, especially those related to topography and soil, should be considered and more machine learning models should be applied. Finally, landslide hazard and risk maps should be studied in addition to landslide susceptibility maps.

주제어

표/그림 (11)

그림 Fig. 1. Number of published articles in the research field of landslide from 1999 to 2018.
그림 Fig. 2. Number of landslide study areas used for the published articles with respect to countries.
그림 Fig. 3. Number of published articles with respect to number of landslides occurred in the study area of each published article.
그림 Fig. 4. Number of published articles with respect to the factor used as landslide causes in all of the published articles used for this study.
그림 Fig. 5. Number of published articles with respect to the factor used as landslide causes in the articles published in the first period (1999–2008).
그림 Fig. 6. Number of published articles with respect to the factor used as landslide causes in the articles published in the second period (2009–2013).
그림 Fig. 7. Number of published articles with respect to the factor used as landslide causes in the articles published in the third period (2014–2018).
표 Table 1. Models used in the published articles
표 Table 2. Models used in the articles published in the first period (1999–2008)
표 Table 3. Models used in the articles published in the second period (2009–2013)
표 Table 4. Models used in the articles published in the third period (2014–2018)

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제안 방법

The study areas and number oflandslides were extracted from the articles to evaluate the status of global landslide occurrence. Moreover, the study area and number of landslides can be used by researchers in the future to identify new causes, apply new models, and generalize and standardize results.We also extracted the causes of and models used to simulate landslides from the articles.
Thisinformation was used to identify yearly trends in GIS-based landslide susceptibility mapping studies. The study areas and number oflandslides were extracted from the articles to evaluate the status of global landslide occurrence. Moreover, the study area and number of landslides can be used by researchers in the future to identify new causes, apply new models, and generalize and standardize results.
To evaluate the status and trends of GIS-based landslide susceptibility mapping, we analyzed 776 relevant articles published over the last 20 years (1999–2018) in terms of study area, number of articles, number of landslides, causes, and models used.

대상 데이터

The study areas of the investigated articles spanned many regions from 65 countries (Fig. 2); however, 83.1% of articles originated from 15 countries. The most common study areas were China (143 articles, 18.
To more clearly identify temporal trends, the articles were divided into three periods of 5 or 10 years based on the publication year and considering the number of articles: 1999–2008 (10 years), which included 146 articles; 2009–2013 (5 years), which included 250 articles; and 2014–2018 (5 years), which included 380 articles.

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