The Impact of Environmental, Social, and Economic Factors Due to Anak Krakatau Volcano Tsunami Using Remote Sensing Technology Riantini Virtriana (a,b), Agung Budi Harto (a,b), Pitri Rohayani (b), Tania Septi Anggraini (c), and Kalingga Titon Nur Ihsan (c)
(a) Remote Sensing and GIS Research Group, Faculty of Earth Science and Technology, Institut Teknologi Bandung, Indonesia.
(b) Department of Geodesy and Geomatics Engineering, Faculty of Earth Sciences and Technology, Institut Teknologi Bandung, Indonesia.
(c) Doctoral Program of Geodesy and Geomatics Engineering, Faculty of Earth Sciences and Technology, Institut Teknologi Bandung, Indonesia.
Abstract
The territory of Indonesia often occurs tsunamis because its widely traversed by encounters between earth plates in the sea, so if an earthquake occurs, it has the potential for a tsunami. Indonesian region is also located in the ring of the fire area, which ranks first as the country with the highest number of active volcanoes, more than 127 event, that can encourage volcanic earthquakes. In addition, when volcanoes erupt in the offshore, the potential for a tsunami will be even greater because the vomit of material can landslide towards the sea, causing a tsunami. The tsunami happened in the eruption of Anak Krakatau on December 22, 2018, in the Sunda Strait, which resulted in a tsunami in the Lampung and Banten areas. This study tries to compare environmental, social, and economic factors before and after the tsunami in the coastal areas of Lampung and Banten. The integration of remote sensing data will be carried out to determine environmental, social, and economic factors such as Land Cover, NDWI, NDVI, Night Light, and NO2 data. Random Forest Machine Learning will also be involved in shaping land cover models. Random Forest is often used because it has a good accuracy. The results show a significant change in land cover in coastal areas and the impact of environmental, social, and economic factors. This study is expected to support the mitigation process in the event of a tsunami in the future. In addition, it is expected to be used by policymakers in planning development after the tsunami disaster.
Keywords: Volcano Tsunami- Remote Sensing- Random Forest- Environmental Factor
