Research outputs, writing, and presentations at the intersection of Earth observation and official statistics.
For the current publication record, see my Google Scholar profile and ORCID record.
Selected outputs
From Aerial Imagery to Official Statistics: Integrating Registry Data in Operational Deep Learning for Fine-Grained Built-Up Area Mapping in the Netherlands
Athithya S. Loganathan, Saim Muhammad, and Sander Oude Elberink.
STAT-EO 2026 · Poster presentation, ESA, May 2026. View the poster (PDF).
GeoAI 2026 · Conference presentation, Ghent, Belgium, 4 June 2026; LULC mapping session. View the official presentation listing. The conference listing does not currently provide a slide PDF.
Use of AI for built-up area land use mapping: A study on construction sites
Conference presentation with Saim Muhammad, New Techniques and Technologies for Statistics (NTTS), 2025. Read the abstract.
Machine learning classification of objects from RGB images and point clouds obtained from a MLS system in railroad environment
Master’s thesis, Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, 2020. Read the university record and thesis.