Alen Mangafić
I work at the Geodetic Institute of Slovenia in Ljubljana as Head of Digital Transformation and contribute to projects as a Senior Geospatial Data Scientist and Remote Sensing Specialist. I hold a PhD in Environmental Protection focused on the hyperspectral remote sensing of heavy metals. My work centers around the analysis of multispectral, hyperspectral, and SAR imagery, as well as LiDAR point clouds, though I enjoy tackling data problems of all kinds. I rely heavily on Python, GRASS, GDAL, PDAL, QGIS, and PostgreSQL for data torturing and distribution. I love Linux. I currently serve as the secretary of OSGeo Slovenia.
Sessions
GRASS, Geographic Resources Analysis Support System, is a powerful engine for geospatial processing and analysis. This talk delivers the latest GRASS update, covering technical progress, new integration pathways, community developments, and key outcomes from the 2026 community meeting.
We present i.hyper, a comprehensive hyperspectral processing addon for GRASS. It includes modules for import, metadata handling, atmospheric correction, preprocessing, spectral resampling, indices, albedo, visualization, exploration, export, and more, covering the workflow from raw satellite products to analysis-ready data.