A Modular Remote Sensing Big Data Framework

SCMNet: Toward Subsurface Chlorophyll Maxima Prediction Using Embeddings and Bi-GRU Network

“…Our understanding of SCM phenomena has benefitted from in situ observations [3] while not enhanced with the increasing improvement of satellite observations [4] because measurements are limited to the superficial layer [5]. Considering the expensive in situ observations [6] and the high spatiotemporal resolution requirements of indepth SCM study [7], the idea of filling the gap of in situ observations with sea surface data via regression method of machine learning has been formed.…”