{"datasetrec":{"DasID":8066,"Acronym":null,"StandardTitle":"PANTHYR hyperspectral water radiometry Blue Accelerator Platform 2020","OrigTitle":null,"OrigTitleLangID":null,"OrigTitleLangCode":null,"OrigTitleLang":null,"OrigTitleLangNL":null,"VersionName":null,"ContactEmail":null,"VersionDate":null,"VersionDay":null,"VersionMonth":null,"VersionYear":null,"SizeReference":null,"EngAbstract":"Autonomously acquired above-water PANTHYR water reflectance data from a pair of TriOS RAMSES radiance and irradiance sensors, details provided in Vansteenwegen et al. 2019. Data passed automated quality control but has not been screened by an expert.","EngDescr":"This dataset contains autonomously acquired abovewater PANTHYR water reflectance data from a pair of TriOS RAMSES radiance and irradiance sensors. Measurements are performed under a sun-sensor geometry that minimises sun and sky glint on the air-water interface, as recommended by Mobley (1999), and utilised commonly in above water measurements, e.g. by Ruddick et al. (2006). Irradiance and radiance measurements are made sequentially rather than simultaneously, with a full cycle containing 3 irradiance (Ed), 3 downwelling radiance (Ld), 11 upwelling radiance (Lu), 3 more Ld and 3 more Ed. This sequence takes about 1 minute to complete in normal illumination conditions, and temporal stability checks are performed on these sequential measurements (Vanhellemont 2020). A given number of valid measurements (Ed: 5/6, Ld: 5/6, Lu: 9/11) are required for further processing. RAMSES data are resampled to a common wavelength grid between 355 and 945 nm with a 2.5 nm step. A \"Fresnel\" correction for the air-water interface reflectance is performed using the Mobley (1999) LUT for a fixed (2 m/s) or modeled (NCEP) wind speed. Full details on the PANTHYR system are provided in Vansteenwegen et al. 2019. This dataset contains the average and standard deviation of hyperspectral irradiance (ed), downwelling radiance (ld), total upwelling radiance (lu), and derived water-leaving radiance (lw). Water-leaving radiance reflectance is provided with NIR similarity spectrum correction (rhow) and without NIR similarity spectrum correction (rhow_nosc). Data passed automated quality control but have not been screened by an expert.\n<br>\nThe general objective of the HYPERMAQ project was to develop and test new algorithms for aquatic remote sensing of coastal and inland waters, using both hyperspectral and high resolution multispectral satellite data to provide more than “just” concentration of suspended particulate matter and chlorophyll. Test sites focused particularly on turbid waters. The PANTHYR (pan-and-tilt hyperspectral radiometer system) was designed in HYPERMAQ for autonomous measurement of hyperspectral water reflectance for the validation of satellite reflectance in visible and near-infrared bands (400–900 nm).","OrigAbstract":null,"OrigDescr":null,"Comments":null,"ReleaseDate":null,"ReleaseDate0":null,"OrigDescrLang":null,"EmbargoDate":null,"OrigDescrLangNL":null,"OrigLangCode":null,"OrigLangCodeExtended":null,"OrigLangID":null,"DescrCompFlag":0,"DescrTransFlag":0,"Citation":"Vansteenwegen, D.; Vanhellemont, Q.; Flanders Marine Institute (VLIZ): Belgium; Royal Belgian Institute for Natural Sciences (RBINS): Belgium; (2022): PANTHYR hyperspectral water radiometry Blue Accelerator Platform 2020. Marine Data Archive.","AccessConstraints":"If you use the data provided by PANTHYR, please refer to it in any of your publications as: \"This work was supported by PANTHYR data & infrastructure provided by the Flanders Marine Institute (VLIZ) and Royal Belgian Institute for Natural Sciences (RBINS)\".","UDate":"2023-05-17","CDate":"2022-05-06","CurrencyDate":null,"RevisionDate":null,"DateLastModified":{"date":"2026-05-14 01:44:00.153333","timezone_type":1,"timezone":"+02:00"},"CheckedFlag":0,"PublicFlag":1,"VlizCoreFlag":1,"MarineFlag":null,"FreshFlag":0,"BrackishFlag":0,"TerrestrialFlag":0,"StatusID":1,"DasType":"Data","DasTypeID":1,"DasOrigin":"Sensor platform","Progress":"Completed","AccessConstraint":"Attribution-ShareAlike (CC BY-SA)","AccConstrEN":"Attribution-ShareAlike (CC BY-SA)","AccConstrDisplay":"<a rel=\"license\" href=\"https://creativecommons.org/licenses/by-sa/4.0/\" target=\"_blank\"><img alt=\"Creative Commons License\" style=\"border:0px;height:15px;width:80px;vertical-align:middle;\" src=\"https://www.marinespecies.org/aphia/images/cc/by-sa.png\" /></a> This dataset is licensed under a <a rel=\"license\" href=\"https://creativecommons.org/licenses/by-sa/4.0/\" target=\"_blank\">Creative Commons Attribution-ShareAlike 4.0 International License</a>.","License":"https://creativecommons.org/licenses/by-sa/4.0/","AccConstrDescription":"This license lets others remix, tweak, and build upon your work even for commercial purposes, as long as they credit you and license their new creations under the identical terms. This license is often compared to “copyleft” free and open source software licenses. All new works based on yours will carry the same license, so any derivatives will also allow commercial use. This is the license used by Wikipedia, and is recommended for materials that would benefit from incorporating content from Wikipedia and similarly licensed projects.","Lineage":null,"AccConID":22},"dois":[{"DOIID":686,"PublicationYear":2022,"DOI":"10.14284/566","Citation":"Vansteenwegen, D.; Vanhellemont, Q.; Flanders Marine Institute (VLIZ): Belgium; Royal Belgian Institute for Natural Sciences (RBINS): Belgium; (2022): PANTHYR hyperspectral water radiometry Blue Accelerator Platform 2020. Marine Data Archive.","MDAID":"VLIZ_00000723_62554cdc6fe2d778239749","Moratorium":0,"MDAURL":"https://mda.vliz.be/directlink.php?fid=VLIZ_00000723_62554cdc6fe2d778239749","CurrentDOI":1,"Active":1,"URL":null,"downloadURL":"https://mda.vliz.be/download.php?file=VLIZ_00000723_62554cdc6fe2d778239749"}],"spcols":null,"keywords":[{"ThesaurusTerm":"Air-water interface","ThesTypID":1,"ThesType":"ASFA Thesaurus List","Code":"c_232","Description":null,"OrigThesTerm":"Air-water interface","DutchTerm":null,"URI":"http://aims.fao.org/aos/agrovoc/c_232","DasKeywordDescr":null},{"ThesaurusTerm":"ANE, North Sea","ThesTypID":34,"ThesType":"ASFA Geoterms","Code":null,"Description":null,"OrigThesTerm":"ANE, North Sea","DutchTerm":null,"URI":null,"DasKeywordDescr":null},{"ThesaurusTerm":"Hyperspectral imaging","ThesTypID":2,"ThesType":"CSA Technology Research Database Master Thesaurus","Code":null,"Description":null,"OrigThesTerm":"Hyperspectral imaging","DutchTerm":"Hyperspectrale 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Atmospheric correction of Sentinel-3/OLCI data for mapping of suspended particulate matter and chlorophyll-a concentration in Belgian turbid coastal waters. <i>Remote Sens. Environ. 256</i>: 112284. <a href=\"https://dx.doi.org/10.1016/j.rse.2021.112284\" target=\"_blank\">https://dx.doi.org/10.1016/j.rse.2021.112284</a>","RR":"<b>Vanhellemont, Q.; Ruddick, K.</b> (2021). Atmospheric correction of Sentinel-3/OLCI data for mapping of suspended particulate matter and chlorophyll-a concentration in Belgian turbid coastal waters. <i>Remote Sens. Environ. 256</i>: 112284. <a href=\"https://dx.doi.org/10.1016/j.rse.2021.112284\" target=\"_blank\">https://dx.doi.org/10.1016/j.rse.2021.112284</a>","4":"Atmospheric correction of Sentinel-3/OLCI data for mapping of suspended particulate matter and chlorophyll-a concentration in Belgian turbid coastal waters","StT":"Atmospheric correction of Sentinel-3/OLCI data for mapping of suspended particulate matter and chlorophyll-a concentration in Belgian turbid coastal waters","5":"Vanhellemont, Q.; Ruddick, K.","RSA":"Vanhellemont, Q.; Ruddick, K.","6":"Gebaseerd op deze dataset","DutchTerm":"Gebaseerd op deze dataset","7":2021,"AnaDate":2021,"8":null,"MonDate":null,"9":". <i>Remote Sens. Environ. 256</i>: 112284. <a href=\"https://dx.doi.org/10.1016/j.rse.2021.112284\" target=\"_blank\">https://dx.doi.org/10.1016/j.rse.2021.112284</a>","":". <i>Remote Sens. Environ. 256</i>: 112284. <a href=\"https://dx.doi.org/10.1016/j.rse.2021.112284\" target=\"_blank\">https://dx.doi.org/10.1016/j.rse.2021.112284</a>","10":"https://dx.doi.org/10.1016/j.rse.2021.112284","doi":"https://dx.doi.org/10.1016/j.rse.2021.112284"},{"0":329529,"BRefID":329529,"1":"Based on this dataset","Relation":"Based on this dataset","2":2,"RelationID":2,"3":"<b>Vanhellemont, Q.</b> (2020). Sensitivity analysis of the dark spectrum fitting atmospheric correction for metre- and decametre-scale satellite imagery using autonomous hyperspectral radiometry. <i>Optics Express 28(20)</i>: 29948. <a href=\"https://dx.doi.org/10.1364/oe.397456\" target=\"_blank\">https://dx.doi.org/10.1364/oe.397456</a>","RR":"<b>Vanhellemont, Q.</b> (2020). 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The Pan-and-Tilt Hyperspectral Radiometer system (PANTHYR) for autonomous satellite validation measurements—prototype design and testing. <i>Remote Sens. 11(11)</i>: 1360. <a href=\"https://dx.doi.org/10.3390/rs11111360\" target=\"_blank\">https://dx.doi.org/10.3390/rs11111360</a>","RR":"<b>Vansteenwegen, D. <i>et al.</i></b> (2019). The Pan-and-Tilt Hyperspectral Radiometer system (PANTHYR) for autonomous satellite validation measurements—prototype design and testing. <i>Remote Sens. 11(11)</i>: 1360. <a href=\"https://dx.doi.org/10.3390/rs11111360\" target=\"_blank\">https://dx.doi.org/10.3390/rs11111360</a>","4":"The Pan-and-Tilt Hyperspectral Radiometer system (PANTHYR) for autonomous satellite validation measurements—prototype design and testing","StT":"The Pan-and-Tilt Hyperspectral Radiometer system (PANTHYR) for autonomous satellite validation measurements—prototype design and testing","5":"Vansteenwegen, D.; Ruddick, K.; Cattrijsse, D.; Vanhellemont, Q.; Beck, M.","RSA":"Vansteenwegen, D.; Ruddick, K.; Cattrijsse, D.; Vanhellemont, Q.; Beck, M.","6":"Gebruikt in deze dataset","DutchTerm":"Gebruikt in deze dataset","7":2019,"AnaDate":2019,"8":null,"MonDate":null,"9":". <i>Remote Sens. 11(11)</i>: 1360. <a href=\"https://dx.doi.org/10.3390/rs11111360\" target=\"_blank\">https://dx.doi.org/10.3390/rs11111360</a>","":". <i>Remote Sens. 11(11)</i>: 1360. <a href=\"https://dx.doi.org/10.3390/rs11111360\" target=\"_blank\">https://dx.doi.org/10.3390/rs11111360</a>","10":"https://dx.doi.org/10.3390/rs11111360","doi":"https://dx.doi.org/10.3390/rs11111360"}],"urls":[{"URL":"https://odnature.naturalsciences.be/hypermaq/","externalID":null,"URLTypeCode":null,"URLType":"Project home page","URLTypID":9,"downloadURL":null,"FileName":null}],"pictures":null,"urlmaps":null,"spatreps":null,"fileformats":null,"resmessage":"","complete":1}