Skripsi
ANALISIS KERAWANAN LONGSOR DENGAN METODE KORELASI NDVI DAN KERAGAMAN RELIEF DAERAH DARMO DAN SEKITARNYA, KABUPATEN MUARA ENIM, SUMATERA SELATAN
This research is a follow-up case study on geological mapping that has been done previously. In field observations during geological mapping activities, several landslide observation locations were found which were influenced by high rock weathering, steep slopes and soil erosion caused by high rainfall intensity. According to BNPB (2012), a landslide is a mass movement of rock or soil, or a combination of both, which is influenced by the disruption of the stability of the rock or soil slope which causes the soil or rock mass to move down or out of the slope. Meanwhile, according to the Directorate of Geology and Environmental Management (2009), landslides occur due to disruption of the slope balance causing the degradation of the soil or rock mass towards a lower elevation. Arsyad (2010) stated that there are three factors that can cause landslides, steep slopes can trigger soil movement, and water content that exceeds the soil saturation limit. Referring to data from the Central Statistics Agency, there are at least, therefore a special study is needed on slope stability in order to identify areas that are potentially prone to landslides using a geographic information system (GIS) through an approach based on the Normalized Difference Vegetation Index (NDVI) and Relief Diversity using Landsat 8 data through the ArcGIS application, where the output obtained in this study is a landslide-prone map of the research area. The research area is located in a morphology with high topographic conditions with a steep slope gradient resulting in poor slope stability and landslides were found in several locations with 5 landslide observation points with 3 types of landslides, namely rotational slides, translational slides and falls. Analysis of the level of landslide vulnerability using the NDVI and relief diversity parameters shows a relationship between the two parameters. In this case, there is a high level of relief diversity, so there tends to be a low vegetation index value. This finding concludes that at the research location, the presence of sparse vegetation causes a high level of relief diversity which of course will affect the risk level of landslides. The landslide vulnerability map is divided into five classes including very low to very high classes. Based on these results, the research area shows varying levels of landslide vulnerability dominated by moderate vulnerability levels. The potential for fairly high landslide distribution is in the southern and central areas of the research area map. Disaster mitigation suggestions that can be taken consist of concrete actions such as infrastructure development and warning systems, as well as social steps such as education, training, and community participation to reduce the risk and impact of landslides.
Inventory Code | Barcode | Call Number | Location | Status |
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2507000605 | T165239 | T1652392025 | Central Library (Reference) | Available but not for loan - Not for Loan |
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