CLASSIFICATION OF SENTINEL-2A SATELLITE IMAGE FOR TERNATE CITY LAND COVER USING RANDOM FOREST CLASSIFICATION IN SAGA GIS SOFTWARE
DOI:
https://doi.org/10.26753/dns.v1i1.1554Keywords:
Ternate, land cover, Random Forest, Sentinel-2AAbstract
Rapid population growth and increased human activities have caused significant changes in land cover in this region. These changes can impact the environment, including a decline in environmental quality. This study aims to classify land cover in Ternate City using Sentinel-2A satellite imagery with the Random Forest method in SAGA GIS 9.6 software. The classification results show that out of a total area of 10,163.41 hectares, built-up land accounts for 2,242.60 hectares (22.07%), while forests dominate with an area of 5,854.76 hectares (57.61%). This research highlights the impact of urbanization and population growth on land cover changes, as well as the importance of managing and protecting natural resources to maintain ecosystem balance. By utilizing remote sensing technology and machine learning algorithms, this study is expected to contribute significantly to understanding land cover dynamics and supporting decision-making in spatial planning and environmental conservation in tropical regions.References
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