Bagas Mahendra

I am a final year Geomatics Engineering student with strong experience in remote sensing, UAV based image analysis, and geospatial data processing. My academic and practical background has equipped me with a deep understanding of spatial data interpretation, especially in the context of environmental monitoring and agricultural applications.

Throughout my undergraduate research, I developed a prototype application for mapping the density, health, and age of oil palm plantations using UAV imagery combined with YOLO for object detection, Segment Anything Model SAM for segmentation, and VARI Visible Atmospherically Resistant Index for vegetation health analysis. This project has sharpened my skills in working with high resolution aerial data, implementing machine learning models for remote sensing, and translating geospatial insight into actionable outputs.

I also have internship experience in the geospatial industry, where I processed LiDAR point cloud data into LOD 3 models using