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Andrea Nascetti is an Associate Professor in the Department of Urban Planning and Environment at KTH Royal Institute of Technology, Stockholm, Sweden. Joining KTH in 2013 after completing a postdoctoral research position at the University of Rome 'La Sapienza', he has built a strong background in Geomatics and Remote Sensing, with a specialization in Photogrammetry, Synthetic Aperture Radar (SAR), and Radargrammetry. His main research activities encompass Earth Observation and Remote Sensing, focusing on model algorithms for processing optical and radar high-resolution satellite imagery. Nascetti's work includes developing and implementing feature extraction and offset tracking algorithms, generating stereoscopic digital surface models, and co-registering optical and SAR satellite imagery using a SIFT-based approach. He also engages in time series analysis of big data cubes using cloud-based technologies like Google Earth Engine and Google Cloud Platform. His expertise covers a range of areas including Computer Vision, Machine Learning, GIS, and geospatial data analysis.
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