Satellite Derived Global Ocean Product Validation/Evaluation
Ocean 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...
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Format: | Electronic Book Chapter |
Language: | English |
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Basel, Switzerland
MDPI - Multidisciplinary Digital Publishing Institute
2020
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Online Access: | DOAB: download the publication DOAB: description of the publication |
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001 | doab_20_500_12854_69409 | ||
005 | 20210501 | ||
003 | oapen | ||
006 | m o d | ||
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008 | 20210501s2020 xx |||||o ||| 0|eng d | ||
020 | |a books978-3-03943-646-0 | ||
020 | |a 9783039436453 | ||
020 | |a 9783039436460 | ||
040 | |a oapen |c oapen | ||
024 | 7 | |a 10.3390/books978-3-03943-646-0 |c doi | |
041 | 0 | |a eng | |
042 | |a dc | ||
072 | 7 | |a GP |2 bicssc | |
100 | 1 | |a Son, SeungHyun |4 edt | |
700 | 1 | |a Platt, Trevor |4 edt | |
700 | 1 | |a Sathyendranath, Shubha |4 edt | |
700 | 1 | |a Son, SeungHyun |4 oth | |
700 | 1 | |a Platt, Trevor |4 oth | |
700 | 1 | |a Sathyendranath, Shubha |4 oth | |
245 | 1 | 0 | |a Satellite Derived Global Ocean Product Validation/Evaluation |
260 | |a Basel, Switzerland |b MDPI - Multidisciplinary Digital Publishing Institute |c 2020 | ||
300 | |a 1 electronic resource (280 p.) | ||
336 | |a text |b txt |2 rdacontent | ||
337 | |a computer |b c |2 rdamedia | ||
338 | |a online resource |b cr |2 rdacarrier | ||
506 | 0 | |a Open Access |2 star |f Unrestricted online access | |
520 | |a Ocean 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 | |a Creative Commons |f https://creativecommons.org/licenses/by/4.0/ |2 cc |4 https://creativecommons.org/licenses/by/4.0/ | ||
546 | |a English | ||
650 | 7 | |a Research & information: general |2 bicssc | |
653 | |a sea ice | ||
653 | |a ice surface temperature | ||
653 | |a Suomi NPP | ||
653 | |a JPSS | ||
653 | |a remote sensing | ||
653 | |a leads | ||
653 | |a MODIS | ||
653 | |a ocean color | ||
653 | |a algorithm | ||
653 | |a chlorophyll | ||
653 | |a HPLC | ||
653 | |a fluorometry | ||
653 | |a particulate organic carbon | ||
653 | |a southern ocean | ||
653 | |a ocean colour | ||
653 | |a satellite-derived chlorophyll-a concentration | ||
653 | |a algorithm evaluation | ||
653 | |a Northwest Atlantic | ||
653 | |a Northeast Pacific | ||
653 | |a Japanese common squid | ||
653 | |a Todarodes pacificus | ||
653 | |a habitat suitability index (HSI) | ||
653 | |a the Yellow Sea | ||
653 | |a the South Sea of South Korea | ||
653 | |a spaceborne GNSS-R | ||
653 | |a DDM | ||
653 | |a ocean surface wind speed | ||
653 | |a GMF | ||
653 | |a CYGNSS | ||
653 | |a HY-2A | ||
653 | |a scatterometer | ||
653 | |a sea surface wind field | ||
653 | |a evaluation | ||
653 | |a satellite altimetry | ||
653 | |a significant wave height | ||
653 | |a SAR | ||
653 | |a wave buoy observations | ||
653 | |a validation | ||
653 | |a southwest England | ||
653 | |a coastal altimetry | ||
653 | |a Sentinel-3A | ||
653 | |a SRAL | ||
653 | |a particulate optical backscattering | ||
653 | |a Raman scattering | ||
653 | |a QAA algorithm | ||
653 | |a ESA OC-CCI | ||
653 | |a steric height | ||
653 | |a sea level variability | ||
653 | |a interferometric altimeter validation | ||
653 | |a high-frequency radar | ||
653 | |a MODIS ocean color patterns | ||
653 | |a submesoscale eddies | ||
653 | |a sea surface salinity estimation | ||
653 | |a Changjiang diluted water | ||
653 | |a neural network | ||
653 | |a GOCI application | ||
653 | |a sea surface temperature | ||
653 | |a global gridded dataset | ||
653 | |a Yellow Sea | ||
653 | |a bias correction | ||
653 | |a chlorophyll-a | ||
653 | |a phytoplankton | ||
653 | |a East/Japan Sea | ||
856 | 4 | 0 | |a www.oapen.org |u https://mdpi.com/books/pdfview/book/3210 |7 0 |z DOAB: download the publication |
856 | 4 | 0 | |a www.oapen.org |u https://directory.doabooks.org/handle/20.500.12854/69409 |7 0 |z DOAB: description of the publication |