UNDERSTANDING REMOTE SENSING

Data available at multiple spatial/spectral/temporal scales pose numerous challenges to the data scientists. Of late researchers paid wide attention to handling such data acquired through various sensing mechanisms to address intertwined topics-like pattern retrieval, pattern analysis, quantitative reasoning, and simulation and modeling-for better understanding spatiotemporal behaviors of several terrestrial phenomena and processes