Guofeng Cao

Department of Geography, University of Colorado Boulder

The landscape of geospatial sciences and technologies has been shifting dramatically in the past decades. New sources of geospatial data on human activities and socioeconomic development become increasingly available, marked by the rise of social sensing (e.g. location-based social media) and a growing variety of remote sensors (e.g. satellite imagery of nighttime lights). The remote sensing and social sensing provide a complementary set of information sources to examine complex socioeconomic dynamics across different spatial and temporal scales. In this talk, I will present our recent developments in location-based social media (LBSM) and remote sensing imagery of nighttime lights (NTL), and demonstrate the promises with applications in socioeconomic dynamics, natural hazards and public health.