Scientists from Sun Yat-Sen University developed a large-scale annotated dataset (Globe230k) for high generalized global land cover mapping. The annotated patches provide cues to help classification ...

The session has the following presentations: Geospatial Information: making a difference to national, regional and global prosperity; New Insights In Tropical Forest Diversity Mapping In Central ...

Researchers use advanced machine learning techniques and multiple global land cover datasets to develop a high-precision land cover map of Siberia. Siberia, a province located in Russia, is a ...

This chapter covers active sensing of the atmosphere using both ground-based and satellite-borne radars. Owing to the vast expanse of weather, hydrometeors, and atmospheric gases, in situ measurements ...

Active sensing encompasses the use of a transmitter and at least one receiver to measure (sense) the transmission or scattering properties of a medium at radio frequencies. In transmission ...