Improving Satellite Data Products for Open Oceans with a Scheme to Correct the Residual Errors in Remote Sensing Reflectance

Authors

Jun Chen, Laboratory for Marine Mineral Resources, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China
Zhongping Lee, University of Massachusetts Boston
Chuanmin Hu, University of South FloridaFollow
Jianwei Wei, University of Massachusetts Boston

Document Type

Article

Publication Date

2016

Keywords

neural network, QAA, residual error, SeaWiFS, inherent optical properties, OCI

Digital Object Identifier (DOI)

https://doi.org/10.1002/2016JC011673

Abstract

An approach to semianalytically derive waters' inherent optical properties (IOPs) from remote sensing reflectance (R_rs) and at the same time to take into account the residual errors in satellite R_rs is developed for open-ocean clear waters where aerosols are likely of marine origin. This approach has two components: (1) a scheme of combining a neural network and an algebraic solution for the derivation of IOPs, and (2) relationships between R_rs residual errors at 670 nm and other spectral bands. This approach is evaluated with both synthetic and Sea-viewing Wide Field-of-view Sensor (SeaWiFS) data, and the results show that it can significantly reduce the effects of residual errors in R_rs on the retrieval of IOPs, and at the same time remove partially the R_rs residual errors for “low-quality” and “high-quality” data defined in this study. Furthermore, more consistent estimation of chlorophyll concentrations between the empirical blue-green ratio and band-difference algorithms can be derived from the corrected “low-quality” and “high-quality” R_rs. These results suggest that it is possible to improve both data quality and quantity of satellite-retrieved R_rs over clear open-ocean waters with a step considering the spectral relationships of the residual errors in R_rs after the default atmospheric correction procedure and without fixing R_rs at 670 nm to one value for clear waters in a small region such as 3 × 3 box.

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Terms of use for work posted in Scholar Commons.

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Citation / Publisher Attribution

Journal of Geophysical Research: Oceans, v. 121, issue 6, p. 3866-3886

©2016. American Geophysical Union. All Rights Reserved.

Scholar Commons Citation

Chen, Jun; Lee, Zhongping; Hu, Chuanmin; and Wei, Jianwei, "Improving Satellite Data Products for Open Oceans with a Scheme to Correct the Residual Errors in Remote Sensing Reflectance" (2016). Marine Science Faculty Publications. 1961.
https://digitalcommons.usf.edu/msc_facpub/1961