Reprint
Sea Surface Temperature Retrievals from Remote Sensing
Edited by
December 2018
340 pages
- ISBN978-3-03897-479-6 (Paperback)
- ISBN978-3-03897-480-2 (PDF)
This book is a reprint of the Special Issue Sea Surface Temperature Retrievals from Remote Sensing that was published in
Engineering
Environmental & Earth Sciences
Summary
This book covers topics ranging from a detailed error analysis of SSTs to new applications employed, for example, in the study of the El Niño–La Niña Southern Oscillation, lake temperatures, and coral bleaching. New techniques for interpolation and algorithm development are presented, including improvements for cloud detection. Analysis of the pixel-to-pixel uncertainties provides insight to applications for high spatial resolutions. New approaches for the estimation and evaluation of SSTs are presented. In addition, an overview of the Climate Change Initiative, with specific applications to SST, is presented. The book provides an excellent overview of the current technology, while also highlighting new technologies and their applications to new missions.
Format
- Paperback
License
© 2019 by the authors; CC BY license
Keywords
lake surface temperature; sea surface temperature (SST); surface state; lake modeling; numerical weather prediction; surface analysis; spatial precision; sea surface temperature; VIIRS; AVHRR; environmental variability; oceanographic dynamics; mesoscale phenomena; Gulf of California; SST; Chl-a; ENSO and PDO; spatial variability; sea surface temperature; submesoscale; wavenumber spectra; sea surface temperature (SST); radial basis function network (RBFN); improved nearest neighbor cluster (INNC) algorithm; coral bleaching; Light Stress Damage; LSD; DHW; remote sensing of coral bleaching; NOAA Coral Reef Watch; CRW; mass coral bleaching; light stress; Fv/Fm; AMSR2; sea surface temperature; optimal estimation; sea surface temperature; cloud detection; AVHRR; climate data record; Agulhas Current; Indian Ocean; sea surface temperature; sea surface salinity; El Niño Southern Oscillation; Simple Ocean Data Assimilation (SODA); Soil Moisture Ocean Salinity (SMOS); Advanced Very High Resolution Radiometer (AVHRR); Along Track Scanning Radiometer (ATSR); sea surface temperature; stability; homogeneity; drifting buoys; Argo; Global Tropical Moored buoy Array (GTMBA); Penalized Maximal t Test; sea surface temperatures; geostationary satellite; infrared; tropical western Pacific Ocean; the Great Barrier Reef; accuracy; machine learning; systematic error; sea surface temperature; random forest; remote sensing; sea surface temperature (SST); microwave; optimal estimation; ocean remote sensing data; data assimilation; optimal interpolation; analog models; multi-scale decomposition; patch-based representation; Southern Ocean; sea surface temperature; teleconnections; Antarctic Oscillation; El Niño-Southern Oscillation; AVHRR; ATSRs; sea surface temperature; CCI; ARC; validation; drifting buoys; AMSR-E; triple collocation; sea surface temperature (SST); oceanographic variability; Eastern Coastal Zone; Gulf of California; wetland; climate; sea surface temperature; biogeography; remote sensing; species limits; Brazilian southernmost mangrove; Western South Atlantic mangroves; sea surface temperature; geostationary satellites; training regression SST algorithms; sensitivity to SSTskin; magnitude of diurnal cycle; in situ SST; L4 SST analysis; SST; AMSR-E; MODIS; footprint; constrained least square; bootstrap; Valdivia; continental shelf; warm water; global change; MODIS; oceanography; remote sensing; saildrone; sea surface salinity; sea surface temperature; SMAP; validation; sea surface temperature; Mediterranean Sea; trend; seasonal and long-term variability