Open AccessThe landslide analysis by using remote sensing & scoring calculation methods of tenang waras and its surrounding area, Muara Enim district, South Sumatera
Author(s) -
Muhammad Ardiansyah,
Endang Wiwik Dyah Hastuti
Publication year - 2019
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/620/1/012125
Subject(s) - landslide , altitude (triangle) , disaster area , natural disaster , geology , natural (archaeology) , remote sensing , physical geography , hydrology (agriculture) , geography , seismology , geotechnical engineering , oceanography , geometry , paleontology , mathematics
Indonesian country geographically formed in the ring of fire zone. This situation trigger the occurrence of various natural disasters in Indonesia such as the earthquake, volcanic eruption and even tsunami waves, besides there is also one of the natural disaster which crucial enough and occur quite often, which is the landslide. The landslide disaster happens mostly in the highland area with the steep slope. This also applies in research area which located in Tenang Waras, South Sumatera. The research area located in high altitude having range of altitude from 402 masl to 912 masl, it also has steep enough slope and high ratio of rainfall. The methods of this research are study literature, geological and landslide zones mapping which analysed and combined with the laboratory analysis by using remote sensing software and also the scoring method which able to create high accuracy calculation from both of its analysis. The results of literature study shows that the research area often happens severe landslide disasters, result from geological mapping and landslide zones which combined with laboratory analysis known that there are several landslide zone which obtained from the landslide zone mapping, each of them are located in the north eastern, north western and south western part of research area, this is similar with the result of scoring method & remote sensing analysis by using the aspect of highest importance value of slope parameter with value of 5 and the lowest value is height parameter with the value of 2.