Monitoring of coastal dynamics at Subang Regency using Landsat Collection Data and Cloud Computing Based

¹ Department of Geophysics and Meteorology, Faculty of Mathematics and Natural Science, IPB University, Jl. Agatis Dramaga Bogor, Bogor 16680, Indonesia
² Department of Biology, Faculty of Mathematics and Natural Science, IPB University, Jl. Agatis Dramaga Bogor, Bogor 16680, Indonesia
³ Department of Silviculture, Faculty of Forestry and Environment, IPB University, Jl. Agatis Dramaga Bogor, Bogor 16680, Indonesia
⁴ Department of Soil Science and Land Resources, Faculty of Agriculture, IPB University, Jl. Agatis Dramaga Bogor, Bogor 16680, Indonesia
⁵ Department of Forest Management, Faculty of Forestry and Environment, IPB University, Jl. Agatis Dramaga Bogor, Bogor 16680, Indonesia
⁶ Department of Marine Science and Technology, Faculty of Fisheries and Marine Science, IPB University, Jl. Agatis Dramaga Bogor, Bogor 16680, Indonesia
⁷ IPB Sustainable Science Research Student Association IPB SSRS Association, IPB University, Jl. Agatis Dramaga Bogor, Bogor 16680, Indonesia
⁸ CNT Tourism Information and Research Center, Community Nature Traveler CNT Batui, Banggai Regency 94762, Central Sulawesi, Indonesia
⁹ Center for Low Carbon Development, University of Teuku Umar, Aceh, Indonesia
¹⁰ Center for Environmental Science, Institute for Research and Community Empowerment IPB, IPB University, Bogor Regency 16680, Indonesia

^* Corresponding author: abd.malik@apps.ipb.ac.id

Abstract

This study aims to better understand the coastal dynamics along the 6.89 km of Subang shoreline using Landsat data and GIS methods with cloud computing-based analysis. The data is processed using remote sensing techniques, image classification, and change detection algorithms. Furthermore, this research harnesses cloud computing to efficiently manipulate big data, enabling rapid and measurable analysis of coastline changes. Cloud computing-based platforms facilitate data storage, processing, and dissemination, enhancing accessibility for researchers and stakeholders. This study indicates that the area has experienced significant changes from 1990 to 2023, with the total length of the coastlines that have changed (positive stands for accretion and negative for erosion) being 8.21 km (-16,86 %) for 1990 to 2000, 6.52 km (16.21%) for 2000 to 2010, 8.14 km (6,66%) for 2010 to 2020, and 8.81 km (-19,16%) for 2020 to 2023. The results provide valuable information about erosion, accretion, and coastal morphological changes. The findings can help make informed decisions for sustainable coastal management. The methodology presented in this article demonstrates a solid approach to coastline monitoring that can be replicated in other areas for more efficient and effective coastal management and environmental preservation.