[Legacy Report] Time-series Remotely Sensed SST for the Study of Oceanographic and Marine Ecological Features
Sea Surface Temperature (SST) is an important environmental variable of coastal and marine ecosystems. Many oceanographic phenomena and ecological features have distinct SST signatures. Satellite remote sensing is most appropriate for the study of these features at a range of spatial scales from local to global. Especially, time-series remotely sensed SST images derived from optical satellite sensors such as MODIS and AVHRR are an essential dataset/tool for the investigation of the dynamic of these oceanographic and ecological features. In this seminar, we will demonstrate, with case studies, the values of SST data derived from MODIS and Himawari-8 sensors for the mapping and investigation of several oceanographic and marine ecological features including ocean currents and coastal upwelling. We will also discuss the potential of remotely sensed SST data for the study of marine heat waves, diurnal cycle and ocean warming.
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Geoscience Australia
Time-series Remotely Sensed SST for the Study of Oceanographic and Marine Ecological Features
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Address:Canberra, Australia
Aero Leplastrier of Geoscience Australia
Time-series Remotely Sensed SST for the Study of Oceanographic and Marine Ecological Features
Biography:
Address:Canberra, Australia