Literature DB >> 19550856

The NIR-SWIR combined atmospheric correction approach for MODIS ocean color data processing.

Menghua Wang, Wei Shi.   

Abstract

A method of ocean color data processing using the combined near-infrared (NIR) and shortwave infrared (SWIR) bands for atmospheric correction for the Moderate Resolution Imaging Spectroradiometer (MODIS) on Aqua is proposed. MODIS-Aqua has been producing the high quality ocean color products in the open oceans, but there are still some significant errors in the derived products in the coastal regions. With the proposed NIR-SWIR combined algorithm, MODIS ocean color data can be processed using the standard (NIR) atmospheric correction algorithm for the open oceans, whereas for the turbid waters in the coastal region the SWIR atmospheric correction algorithm can be executed. The turbid water index developed by Shi and Wang (2007) (Remote Sens. Environ. 110, 149-161 (2007)) is computed prior to the atmospheric correction for the identification of the productive and/or turbid waters where the SWIR algorithm can be operated. For non-turbid ocean waters (discriminated using the turbid water index criterion), the MODIS data are still processed using the standard (NIR) algorithm. The NIR-SWIR combined algorithm has been tested and evaluated. Two examples from MODIS-Aqua measurements along the U.S. and China east coast regions show improved ocean color products with the new approach. In particular, there are no obvious data discontinuities between using the NIR and SWIR methods. Therefore, with the NIR-SWIR combined approach for the MODIS ocean color data processing, good quality ocean color products can be derived both in clear (open) oceans as well as for turbid coastal waters.

Entities:  

Year:  2007        PMID: 19550856     DOI: 10.1364/oe.15.015722

Source DB:  PubMed          Journal:  Opt Express        ISSN: 1094-4087            Impact factor:   3.894


  9 in total

1.  Retrieval of aerosol properties and water-leaving reflectance from multi-angular polarimetric measurements over coastal waters.

Authors:  Meng Gao; Peng-Wang Zhai; Bryan Franz; Yongxiang Hu; Kirk Knobelspiesse; P Jeremy Werdell; Amir Ibrahim; Feng Xu; Brian Cairns
Journal:  Opt Express       Date:  2018-04-02       Impact factor: 3.894

2.  Water-leaving contribution to polarized radiation field over ocean.

Authors:  Peng-Wang Zhai; Kirk Knobelspiesse; Amir Ibrahim; Bryan A Franz; Yongxiang Hu; Meng Gao; Robert Frouin
Journal:  Opt Express       Date:  2017-08-07       Impact factor: 3.894

3.  Global Estimation of Suspended Particulate Matter From Satellite Ocean Color Imagery.

Authors:  Jianwei Wei; Menghua Wang; Lide Jiang; Xiaolong Yu; Karlis Mikelsons; Fang Shen
Journal:  J Geophys Res Oceans       Date:  2021-08-06       Impact factor: 3.938

4.  The features of the coastal fronts in the Eastern Guangdong coastal waters during the downwelling-favorable wind period.

Authors:  Chaoyu Yang; Haibin Ye
Journal:  Sci Rep       Date:  2021-05-13       Impact factor: 4.379

5.  Spatial and temporal patterns in the seasonal distribution of toxic cyanobacteria in Western Lake Erie from 2002-2014.

Authors:  Timothy T Wynne; Richard P Stumpf
Journal:  Toxins (Basel)       Date:  2015-05-12       Impact factor: 4.546

6.  Tropical instability wave modulation of chlorophyll-a in the Equatorial Pacific.

Authors:  Wei Shi; Menghua Wang
Journal:  Sci Rep       Date:  2021-11-18       Impact factor: 4.379

7.  Rising dissolved organic carbon concentrations in coastal waters of northwestern Borneo related to tropical peatland conversion.

Authors:  Nivedita Sanwlani; Chris D Evans; Moritz Müller; Nagur Cherukuru; Patrick Martin
Journal:  Sci Adv       Date:  2022-04-13       Impact factor: 14.136

8.  Influence of main forcing affecting the Tagus turbid plume under high river discharges using MODIS imagery.

Authors:  D Fernández-Nóvoa; M Gómez-Gesteira; R Mendes; M deCastro; N Vaz; J M Dias
Journal:  PLoS One       Date:  2017-10-26       Impact factor: 3.240

9.  On the detectability of adjacency effects in ocean color remote sensing of mid-latitude coastal environments by SeaWiFS, MODIS-A, MERIS, OLCI, OLI and MSI.

Authors:  Barbara Bulgarelli; Giuseppe Zibordi
Journal:  Remote Sens Environ       Date:  2018-05       Impact factor: 10.164

  9 in total

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