000 04813naaaa2201093uu 4500
001 https://directory.doabooks.org/handle/20.500.12854/69409
005 20220219195436.0
020 _abooks978-3-03943-646-0
020 _a9783039436453
020 _a9783039436460
024 7 _a10.3390/books978-3-03943-646-0
_cdoi
041 0 _aEnglish
042 _adc
072 7 _aGP
_2bicssc
100 1 _aSon, SeungHyun
_4edt
700 1 _aPlatt, Trevor
_4edt
700 1 _aSathyendranath, Shubha
_4edt
700 1 _aSon, SeungHyun
_4oth
700 1 _aPlatt, Trevor
_4oth
700 1 _aSathyendranath, Shubha
_4oth
245 1 0 _aSatellite Derived Global Ocean Product Validation/Evaluation
260 _aBasel, Switzerland
_bMDPI - Multidisciplinary Digital Publishing Institute
_c2020
300 _a1 electronic resource (280 p.)
506 0 _aOpen Access
_2star
_fUnrestricted online access
520 _aOcean satellite remote sensing plays important roles in the observations of physical, biological and biogeochemical features in inland, coastal, and global ocean waters, with high temporal and spatial resolution. The satellite-measured ocean products are used for near-real-time ocean monitoring and climate data records to understand short-/long-term variabilities in marine environments and ecosystems as well as for decision making tools to manage social, economic, and environmental benefits. Validation/evaluation including a combination of field measurements and inter-satellite comparison is an essential step in providing more accurate satellite-derived ocean products. In this Special Issue, 14 papers have been published and include research on validation/evaluation, retrieval algorithms of ocean geophysical and biogeochemical parameters, and application of the satellite ocean products in the regional and global ocean. Subjects treated include: Sea Surface Temperature; Sea Ice Surface Temperature from VIIRS thermal infrared sensor; Sea Ice Detection from Spectroradiometer; Sea Surface Winds from HY-2A Scatterometer and GNSS—Reflectometry; Wave Height from Sentinel-3A SAR; Retrievals of Sea Surface Salinity, Chlorophyll-a, Particulate Organic Carbon, Particulate Backscattering, Marine Fishery resource, and Submesoscale Eddies from multiple Ocean Colour sensors.
540 _aCreative Commons
_fhttps://creativecommons.org/licenses/by/4.0/
_2cc
_4https://creativecommons.org/licenses/by/4.0/
546 _aEnglish
650 7 _aResearch & information: general
_2bicssc
653 _asea ice
653 _aice surface temperature
653 _aSuomi NPP
653 _aJPSS
653 _aremote sensing
653 _aleads
653 _aMODIS
653 _aocean color
653 _aalgorithm
653 _achlorophyll
653 _aHPLC
653 _afluorometry
653 _aparticulate organic carbon
653 _asouthern ocean
653 _aocean colour
653 _asatellite-derived chlorophyll-a concentration
653 _aalgorithm evaluation
653 _aNorthwest Atlantic
653 _aNortheast Pacific
653 _aJapanese common squid
653 _aTodarodes pacificus
653 _ahabitat suitability index (HSI)
653 _athe Yellow Sea
653 _athe South Sea of South Korea
653 _aspaceborne GNSS-R
653 _aDDM
653 _aocean surface wind speed
653 _aGMF
653 _aCYGNSS
653 _aHY-2A
653 _ascatterometer
653 _asea surface wind field
653 _aevaluation
653 _asatellite altimetry
653 _asignificant wave height
653 _aSAR
653 _awave buoy observations
653 _avalidation
653 _asouthwest England
653 _acoastal altimetry
653 _aSentinel-3A
653 _aSRAL
653 _aparticulate optical backscattering
653 _aRaman scattering
653 _aQAA algorithm
653 _aESA OC-CCI
653 _asteric height
653 _asea level variability
653 _ainterferometric altimeter validation
653 _ahigh-frequency radar
653 _aMODIS ocean color patterns
653 _asubmesoscale eddies
653 _asea surface salinity estimation
653 _aChangjiang diluted water
653 _aneural network
653 _aGOCI application
653 _asea surface temperature
653 _aglobal gridded dataset
653 _aYellow Sea
653 _abias correction
653 _achlorophyll-a
653 _aphytoplankton
653 _aEast/Japan Sea
856 4 0 _awww.oapen.org
_uhttps://mdpi.com/books/pdfview/book/3210
_70
_zDOAB: download the publication
856 4 0 _awww.oapen.org
_uhttps://directory.doabooks.org/handle/20.500.12854/69409
_70
_zDOAB: description of the publication
999 _c39995
_d39995