Literature DB >> 17334446

Remote sensing of the ocean contributions from ultraviolet to near-infrared using the shortwave infrared bands: simulations.

Menghua Wang1.   

Abstract

In the remote sensing of the ocean near-surface properties, it is essential to derive accurate water-leaving radiance spectra through the process of the atmospheric correction. The atmospheric correction algorithm for Sea-Viewing Wide Field-of-View Sensor (SeaWiFS) and Moderate Resolution Imaging Spectroradiometer (MODIS) uses two near-infrared (NIR) bands at 765 and 865 nm (748 and 869 nm for MODIS) for retrieval of aerosol properties with assumption of the black ocean at the NIR wavelengths. Modifications are implemented to account for some of the NIR ocean contributions for the productive but not very turbid waters. For turbid waters in the coastal regions, however, the ocean could have significant contributions in the NIR, leading to significant errors in the satellite-derived ocean water-leaving radiances. For the shortwave infrared (SWIR) wavelengths (approximately > 1000 nm), water has significantly larger absorption than those for the NIR bands. Thus the black ocean assumption at the SWIR bands is generally valid for turbid waters. In addition, for future sensors, it is also useful to include the UV bands to better quantify the ocean organic and inorganic materials, as well as for help in atmospheric correction. Simulations are carried out to evaluate the performance of atmospheric correction for nonabsorbing and weakly absorbing aerosols using the NIR bands and various combinations of the SWIR bands for deriving the water-leaving radiances at the UV (340 nm) and visible wavelengths. Simulations show that atmospheric correction using the SWIR bands can generally produce results comparable to atmospheric correction using the NIR bands. In particular, the water-leaving radiance at the UV band (340 nm) can also be derived accurately. The results from a sensitivity study for the required sensor noise equivalent reflectance, (NE Delta rho), [or the signal-to-noise ratio (SNR)] for the NIR and SWIR bands are provided and discussed.

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Year:  2007        PMID: 17334446     DOI: 10.1364/ao.46.001535

Source DB:  PubMed          Journal:  Appl Opt        ISSN: 1559-128X            Impact factor:   1.980


  4 in total

1.  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

2.  Monitoring Algal Blooms in drinking water reservoirs using the Landsat 8 Operational Land Imager.

Authors:  Darryl Keith; Jennifer Rover; Jason Green; Brian Zalewsky; Mike Charpentier; Glen Thursby; Joseph Bishop
Journal:  Int J Remote Sens       Date:  2018-01-29       Impact factor: 3.151

3.  Qualitative Dynamics of Suspended Particulate Matter in the Changjiang Estuary from Geostationary Ocean Color Images: An Empirical, Regional Modeling Approach.

Authors:  Dinghui Shang; Huiping Xu
Journal:  Sensors (Basel)       Date:  2018-11-29       Impact factor: 3.576

4.  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

  4 in total

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