Thomas Brinkhoff

Organizing temporally vague Raster Data in Cloud Environments for machine-learningApplications

Abstract. Although geospatial time series derived from historical remote sensing and topographic maps provide critical insights into land-cover evolution, their heterogeneous structures and temporal vagueness complicate interoperability for machine-learning applications. The perf...

Spatiotemporal Data Management for subnational Census Data on global Scale

Abstract. Knowledge of the regional distribution of the world’s population is essential for political and social decisions not only but especially for achieving the 17 Sustainable Development Goals (SDGs). Census and other population data at the subnational level are important fo...