GeoFormer: A Vision and Sequence Transformer-based Approach for Greenhouse Gas Monitoring

Air pollution represents a pivotal environmental challenge globally, playing a major role in climate change via greenhouse gas emissions and negatively affecting the health of billions. However predicting the spatial and temporal patterns of pollutants remains challenging. The scarcity of ground-based monitoring facilities and the dependency of air pollution modeling on comprehensive datasets, often inaccessible for numerous areas, complicate this issue. In this work, we introduce GeoFormer, a compact model that combines a vision transformer module with a highly efficient …

air pollution challenge change climate climate change cs.cv cs.lg emissions environmental facilities greenhouse health major monitoring patterns pivotal playing pollution role spatial temporal transformer via vision