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Monitoring Forest Cover Loss Due to The Impact of Mining Activities Using Google Earth Engine in West Aceh Regency Hani, Fajrul; Alhafsi, Muhammad Arfan; Sandriadi, Wahyu; Farhan, Muhammad; Sugiyanto*, Didik; Nanda, Muhammad
Aceh International Journal of Science and Technology Vol 14, No 1 (2025): April 2025
Publisher : Graduate School of Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13170/aijst.14.1.43410

Abstract

In recent years, forest areas in Aceh Province, especially in West Aceh Regency, have experienced a significant decline in forest cover. This can negatively impact biodiversity, community quality of life, and natural disaster risk, exacerbating global climate change. The fact that West Aceh is one of the regencies with the highest number of gold and coal mining companies in Aceh is a significant concern when assessing whether mining activities impact forest cover loss. This study aims to monitor and quantify forest cover change and the impact of mining activities in Aceh Barat from 2019 to 2024. The research methodology included the use of Google Earth Engine (GEE) for Sentinel-2 satellite image analysis by calculating the Normalized Difference Vegetation Index (NDVI); NDVI values above 0.7 were classified as forest, values below 0.7 as non-forest, and negative values as water bodies. The analysis showed that forest cover loss in West Aceh reached 13030.84 ha over the last five years at an average rate of 2606.17 ha/year. Illegal gold mining activities contributed 12.8%, legal coal mining 10.2%, and legal gold mining 7.3% to forest cover loss, while non-mining factors caused 69.7%. This study presents a cost-effective forest monitoring method that supports biodiversity protection and improved forest management policies in mining areas.
Improvement of Earthquake Source Mechanism Using Waveform Inversion in the Indo-Australian Oceanic Plate Nurma Aisyah; Muksin; Nazli; Sandriadi, Wahyu
Journal of Geoscience, Engineering, Environment, and Technology Vol. 11 No. 1 (2026): JGEET Vol 11 No 01 : March (2026)
Publisher : UIR PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25299/jgeet.2026.11.1.24276

Abstract

The Indo-Australian Oceanic Plate region is an active and complex subduction zone. Tectonic activity in this area generates various types of faults, including thrust, strike-slip, and normal faults, reflecting the dynamic deformation of the lithosphere. This study aims to refine earthquake source parameters using waveform inversion based on the Bayesian Bootstrap approach. Seven earthquake events with magnitudes greater than 5, occurring between 2010 and 2025, were analyzed to obtain more accurate parameters, including location, depth, origin time, duration, magnitude, and fault plane orientation (strike, dip, and slip). Waveform data were retrieved from the USGS catalog and processed using the Grond and Pyrocko software. The inversion results indicate significant shifts in initial parameters, with misfit values below 0.5, demonstrating a high level of agreement between synthetic and observed waveforms. The tectonic interpretation of the inversion outcomes reveals a relationship between hypocenter depth, fault type, and subduction zone geometry. This research is expected to contribute to a better understanding of earthquake source mechanisms and serve as a scientific reference for disaster mitigation efforts in the Indo-Australian Plate region.