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Statistical Method for Generating Cross-Mission Consistent Normalized Water-Leaving Radiances
December 2008
n/a
The accurate merging of primary radiometric ocean color products such as the normalized water-leaving radiance requires combining data from various space missions, which may be affected by different uncertainties as resulting from absolute calibration and minimization of the atmospheric effects. A statistical correction scheme based on a multilinear regression algorithm is used here to remove systematic differences between in situ and remote-sensing measurements. The application of the correction scheme to Sea-viewing Wide Field-of-View Sensor (SeaWiFS) and Moderate Resolution Imaging Spectroradiometer (MODIS) primary radiometric products improves the convergence between remote-sensing and in situ measurements. It was shown the need for restricting the application of the correction scheme to data with atmospheric and marine optical features represented within the reference data set used to define the correction coefficients.
Journal
Davide D’Alimonte, G. Zibordi, F. Melin
EEE Trans. Geosc. Rem. Sens.
IEEE
Edinburgh, UK
46
12
4075-4093
0196-2892
-
-
http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=4683340
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Davide D’Alimonte and G. Zibordi and F. Melin, Statistical Method for Generating Cross-Mission Consistent Normalized Water-Leaving Radiances, EEE Trans. Geosc. Rem. Sens., Vol. 46, No. 12, Pag. 4075-4093, IEEE, Edinburgh, UK, ISBN 0196-2892, (http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=4683340), December 2008.
<b><a href="/people/members/view.php?code=24baa59749868c7df6fcd822a5164196" class="author">Davide D’Alimonte</a>, G. Zibordi and F. Melin</b>, <u>Statistical Method for Generating Cross-Mission Consistent Normalized Water-Leaving Radiances</u>, EEE Trans. Geosc. Rem. Sens., Vol. 46, No. 12, Pag. 4075-4093, <a href="http://www.ieee.org/" title="Link to external entity..." target="_blank" class="publisher">IEEE</a>, Edinburgh, UK, ISBN 0196-2892, (<a href="http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=4683340" target="_blank">url</a>), December 2008.
@article {n/a, author = {Davide D’Alimonte and G. Zibordi and F. Melin}, title = {Statistical Method for Generating Cross-Mission Consistent Normalized Water-Leaving Radiances}, journal = {EEE Trans. Geosc. Rem. Sens.}, publisher = {IEEE}, address = {Edinburgh, UK}, volume = {46}, number = {12}, pages = {4075-4093}, isbn = {0196-2892}, url = {http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=4683340}, abstract = {The accurate merging of primary radiometric ocean color products such as the normalized water-leaving radiance requires combining data from various space missions, which may be affected by different uncertainties as resulting from absolute calibration and minimization of the atmospheric effects. A statistical correction scheme based on a multilinear regression algorithm is used here to remove systematic differences between in situ and remote-sensing measurements. The application of the correction scheme to Sea-viewing Wide Field-of-View Sensor (SeaWiFS) and Moderate Resolution Imaging Spectroradiometer (MODIS) primary radiometric products improves the convergence between remote-sensing and in situ measurements. It was shown the need for restricting the application of the correction scheme to data with atmospheric and marine optical features represented within the reference data set used to define the correction coefficients.}, keywords = {Ocean Color, Remote Sensing}, month = {December}, year = {2008}, }
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