Narumasa Tsutsumida
Narumasa Tsutsumida is a researcher specializing in GIS, remote sensing, geospatial AI, and Earth observation. His research interests span a wide range of topics, including satellite-based land cover classification, the development of spatial statistical models, environmental monitoring, and near real-time disaster damage assessment using Earth observation data.
He has contributed to publishing several open-source R packages on CRAN, and is a member of OSGeo Japan. He has authored 40+ peer-reviewed journal articles and delivered over 100+ presentations at academic conferences.
Session
We introduce landlensdb, an open-source Python package for managing proximity sensing imagery, including action cameras, 360° cameras, and UAVs, using PostgreSQL/PostGIS. It automates metadata extraction, corrects geolocation errors via road network snapping, and enables scalable spatial-temporal queries and visualization for large-scale geotagged image datasets.