Long Island Sound Coastal Observatory: assessment of above-water radiometric measurement uncertainties using collocated multi and hyperspectral systems.
Identifieur interne : 000367 ( Main/Exploration ); précédent : 000366; suivant : 000368Long Island Sound Coastal Observatory: assessment of above-water radiometric measurement uncertainties using collocated multi and hyperspectral systems.
Auteurs : Tristan Harmel [États-Unis] ; Alexander Gilerson ; Soe Hlaing ; Alberto Tonizzo ; Tom Legbandt ; Alan Weidemann ; Robert Arnone ; Samir AhmedSource :
- Applied optics [ 1539-4522 ] ; 2011.
Abstract
The Long Island Sound Coastal Observational platform (LISCO) near Northport, New York, has been recently established to support validation of ocean color radiometry (OCR) satellite data. LISCO is equipped with collocated multispectral, SeaPRISM, and hyperspectral, HyperSAS, above-water systems for OCR measurements. This combination offers the potential for improving validation activities of current and future OCR satellite missions, as well as for satellite intercomparisons and spectral characterization of coastal waters. Results of measurements made by both the multi and hyperspectral instruments, in operation since October 2009, are presented, evaluated and their associated uncertainties quantified based on observations for a period of over a year. Multi- and hyperspectral data processing as well as the data quality analysis are described and their uncertainties evaluated. The quantified intrinsic uncertainties of HyperSAS data exhibit satisfactory values, less than 5% over a large spectral range, from 340 to 740 nm, and over a large range of diurnal daylight conditions, depending on the maximum sun elevation at the solar noon. Intercomparisons between HyperSAS and SeaPRISM data revealed that an overcorrection of the sun glint effect in the current SeaPRISM processing induces errors, which are amplified through the whole data processing, especially at the shorter wavelengths. The spectral-averaged uncertainties can be decomposed as follows: (i) sun glint removal generates 2% uncertainty, (ii) sky glint removal generates strong uncertainties of the order of 15% mainly induced by sun glint overcorrection, (iii) viewing angle dependence corrections improve the data intercomparison by reducing the dispersion by 2%, (iv) normalization of atmospheric effects generates approximately 4% uncertainty. Based on this study, improvements of the sun glint correction are expected to significantly reduce the uncertainty associated with the data processing down to the level of 1%. On the other hand, strong correlations between both datasets (R(2)>0.96) demonstrate the efficacy of the above-water retrieval concept and confirm that the collocated instrumentation constitutes an important aid to above-water data quality analysis, which makes LISCO a key element of the AERONET-OC network.
PubMed: 22015413
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LISCO is equipped with collocated multispectral, SeaPRISM, and hyperspectral, HyperSAS, above-water systems for OCR measurements. This combination offers the potential for improving validation activities of current and future OCR satellite missions, as well as for satellite intercomparisons and spectral characterization of coastal waters. Results of measurements made by both the multi and hyperspectral instruments, in operation since October 2009, are presented, evaluated and their associated uncertainties quantified based on observations for a period of over a year. Multi- and hyperspectral data processing as well as the data quality analysis are described and their uncertainties evaluated. The quantified intrinsic uncertainties of HyperSAS data exhibit satisfactory values, less than 5% over a large spectral range, from 340 to 740 nm, and over a large range of diurnal daylight conditions, depending on the maximum sun elevation at the solar noon. Intercomparisons between HyperSAS and SeaPRISM data revealed that an overcorrection of the sun glint effect in the current SeaPRISM processing induces errors, which are amplified through the whole data processing, especially at the shorter wavelengths. The spectral-averaged uncertainties can be decomposed as follows: (i) sun glint removal generates 2% uncertainty, (ii) sky glint removal generates strong uncertainties of the order of 15% mainly induced by sun glint overcorrection, (iii) viewing angle dependence corrections improve the data intercomparison by reducing the dispersion by 2%, (iv) normalization of atmospheric effects generates approximately 4% uncertainty. Based on this study, improvements of the sun glint correction are expected to significantly reduce the uncertainty associated with the data processing down to the level of 1%. On the other hand, strong correlations between both datasets (R(2)>0.96) demonstrate the efficacy of the above-water retrieval concept and confirm that the collocated instrumentation constitutes an important aid to above-water data quality analysis, which makes LISCO a key element of the AERONET-OC network.</div></front></TEI><affiliations><list><country><li>États-Unis</li></country><region><li>État de New York</li></region></list><tree><noCountry><name sortKey="Ahmed, Samir" sort="Ahmed, Samir" uniqKey="Ahmed S" first="Samir" last="Ahmed">Samir Ahmed</name><name sortKey="Arnone, Robert" sort="Arnone, Robert" uniqKey="Arnone R" first="Robert" last="Arnone">Robert Arnone</name><name sortKey="Gilerson, Alexander" sort="Gilerson, Alexander" uniqKey="Gilerson A" first="Alexander" last="Gilerson">Alexander Gilerson</name><name sortKey="Hlaing, Soe" sort="Hlaing, Soe" uniqKey="Hlaing S" first="Soe" last="Hlaing">Soe Hlaing</name><name sortKey="Legbandt, Tom" sort="Legbandt, Tom" uniqKey="Legbandt T" first="Tom" last="Legbandt">Tom Legbandt</name><name sortKey="Tonizzo, Alberto" sort="Tonizzo, Alberto" uniqKey="Tonizzo A" first="Alberto" last="Tonizzo">Alberto Tonizzo</name><name sortKey="Weidemann, Alan" sort="Weidemann, Alan" uniqKey="Weidemann A" first="Alan" last="Weidemann">Alan Weidemann</name></noCountry><country name="États-Unis"><region name="État de New York"><name sortKey="Harmel, Tristan" sort="Harmel, Tristan" uniqKey="Harmel T" first="Tristan" last="Harmel">Tristan Harmel</name></region></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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