Amaanah, Annisa
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Pemantauan Perubahan Deformasi Tanah Tahun 2014–2024 Berbasis DInSAR di Kecamatan Cisarua Amaanah, Annisa; Sulastri, Ai; Alfarezy, Alif; Pitaloka, Ghea Redana; Anam, Khairul; Aliyan, Silmi Afina
Journal of Geographical Sciences and Education Vol 3 No 3 (2025): Journal of Geographical Sciences and Education
Publisher : PT. Pubsains Nur Cendekia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69606/geography.v3i03.304

Abstract

Cisarua District, situated on the Lembang Fault line, has a high risk due to its proximity to densely populated settlements and its potential for large-magnitude earthquakes. This study aims to analyze the deformation of the Lembang Fault in Cisarua District from 2014 to 2024 using Sentinel-1A and TerraSAR-X imagery data, as well as Digital Terrain Model (DTM) analysis from an Unmanned Aerial Vehicle, employing the high-resolution Differential Interferometric SAR (DInSAR) method. The deformation levels vary from low to high, with a dominance of moderate deformation levels. High deformation was identified on the north and northeast sides, adjacent to the active tectonic zone. The DTM analysis revealed a steep topographic gradient with an elevation of 975.9–1395 masl. The combination of deformation and steep topography indicates a significant risk of landslides. The results of this study are expected to assist in disaster mitigation in the Cisarua District due to the deformation of the Lembang Fault.
Correlation Analysis of Seasonal Changes on Aerosol Concentration Using Remote Sensing in Java Island Muhammad, Garda Asa; Amaanah, Annisa; Dewi, Vanya Chathy Kemala
Proceedings of The International Conference on Data Science and Official Statistics Vol. 2025 No. 1 (2025): Proceedings of 2025 International Conference on Data Science and Official St
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34123/icdsos.v2025i1.636

Abstract

Aerosols are small particles in the atmosphere that affect the climate through direct and indirect mechanisms. Aerosols can influence the climate and play a role in cloud formation and precipitation. This study aims to analyze the relationship between seasonal changes and aerosol concentrations, and to identify parameters that influence aerosol concentrations in Java Island using remote sensing. The method used in this study is the Pearson correlation test to determine the relationship between seasonal changes and aerosol concentrations in the atmosphere. The results show that there is a relationship between Aerosol Optical Depth (AOD) and rainfall with a correlation value (R) of 0.8. This result indicates a significant relationship between the two variables. Meanwhile, the analysis results between Aerosol Optical Depth (AOD) and wind speed show a correlation value (R) of 0.05. This result indicates that the relationship between Aerosol Optical Depth (AOD) and wind speed is very weak between the two variables.