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Spatio-Temporal Analysis of Forest Cover Change in Halmahera and Obi Islands, Indonesia using Hansen Global Forest Change Data on Google Earth Engine Rakuasa, Heinrich; Khromykh, Vadim V.; Rifai , Ahmat
Journal of Scientific Insights Vol. 2 No. 3 (2025): June
Publisher : Science Tech Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69930/jsi.v2i3.417

Abstract

Forest cover change on Halmahera and Obi Islands in Indonesia is an important indicator for assessing natural resource sustainability and climate change mitigation in this biodiversity-rich tropical region. This study used Hansen Global Forest Change v1.11 data, which was processed and analyzed on the Google Earth Engine (GEE) platform, to look at how forest cover changed from 2000 to 2023, using 30-meter resolution satellite images and lossyear bands to find out the years when deforestation happened. The results of the analysis show significant deforestation trends, primarily associated with intensive nickel mining activities, leading to the loss of thousands of hectares of forest cover each year, with peaks occurring in 2015 in Halmahera and 2002 in Obi. The discussion highlights that mining activities and land conversion are major factors in forest degradation, which not only impacts local ecosystems but also contributes to global greenhouse gas emissions. The use of Hansen's data and GEE-based analysis proved effective in continuous and accurate monitoring, supporting policy-making for conservation and more sustainable management of forest resources and mitigation of the impacts of human activities in the region.
Analisis Spasial Kemampuan Lahan Kota Ambon Rakuasa, Heinrich; Rifai , Ahmat; Halim; Latue , Philia Christi
Jurnal Teknologi dan Sains Modern Vol. 2 No. 2 (2025): Maret-April
Publisher : CV. Science Tech Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69930/jtsm.v2i2.315

Abstract

Penelitian ini bertujuan untuk mengetahui kemampuan lahan di Kota Ambon dan kesesuannya untuk pengembangan permukiman. Pengolaha penelitian ini mengacu pada pedoman teknis analisis aspek fisik dan lingkungan, ekonomi, serta sosial budaya dalam penyusunan rencana tata ruang dengan menggunakan 7 satuan kemampuan lahan (SKL) Morfologi, SKL kemudahan dikerjakan, SKL kestabilan lereng, SKL kestabilan pondasi, SKL ketersedian air, SKL drainase, SKL terhadap erosi, SKL pembuangan limbah dan SKL terhadap bencana alam. Hasil penelitian ini menunjukan bahwa sebesar 39.75% wilayah Kota Ambon berada pada kemampuan pengembangan sangat rendah. Hasil menunjukkan bahwa area dengan kemampuan lahan sangat rendah hingga rendah mencakup sebagian besar wilayah, sementara area dengan potensi tinggi untuk pengembangan sangat terbatas. Sebaran permukiman tahun 2025 sebesar 48,23% berada pada lahan dengan kemampuan pengembangan tinggi. Temuan ini menekankan perlunya kebijakan pemanfaatan lahan yang lebih berkelanjutan dan terencana untuk menjaga keseimbangan ekosistem serta mendorong pengembangan yang responsif terhadap tantangan urbanisasi di Kota Ambon.
Spatial Analysis of Benthic and Geomorphic Habitat Distribution in the Shallow Waters of Pombo Island, Indonesia, using High Resolution PlanetScope Satellite Imagery Rifai , Ahmat; Halim; Rahayaan , Muhamad F. M.; Rakuasa, Heinrich; Rajani , La Mbeli
Asian Journal of Environmental Research Vol. 2 No. 2 (2025): May-August
Publisher : CV. Science Tech Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69930/ajer.v2i2.392

Abstract

The benthic biodiversity-rich but degradation-prone coastal waters of Pombo Island, Maluku, were mapped using high-resolution PlanetScope (3m) satellite imagery and field data through a random forest approach. The results showed the dominance of inner reef flat (54%) and sand substrate (39.62%), with 22.31% coral cover, while geomorphological analysis revealed a strong correlation between sheltered reef slope (18.78%) and benthic habitat distribution (85% classification accuracy). These findings not only prove the effectiveness of remote sensing technology for tropical ecosystem monitoring but also recommend zoning-based conservation strategies, particularly reef crest protection and seagrass rehabilitation, as a contribution to sustainable environmental management in line with SDG targets.
Spatial Analysis of Vegetation Index in Ambon City Center Area, Indonesia using Sentinel-2 Satellite Imagery in Google Earth Engine Rifai , Ahmat; Halim; Rakuasa, Heinrich; Tade , Ferdi; Purnama , Aventus; Jufriansah , Adi; Khusnani , Azmi
Frontiers in Sustainable Science and Technology Vol. 2 No. 1 (2025): June
Publisher : CV. Science Tech Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69930/fsst.v2i1.365

Abstract

This study analyzed the impact of urbanization on vegetation cover in Ambon City using Google Earth Engine (GEE) technology and the NDVI index. The methods used include Sentinel-2 image data processing and field validation at 40 sample points conducted in Google Earth Engine. The analysis revealed that the Non-vegetation area has a percentage area of 29.25%, Sparse vegetation area of 19.89%, Medium Vegetation area of 21.80% and Dense Vegetation area of 29.06% of the total area of Ambon City center. The results of this study emphasize the urgent need for conservation policies and utilization of monitoring technology in the planning of sustainable green open space in Ambon City Center.