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Remote Sens. 2017, 9(6), 595; doi:10.3390/rs9060595

MODIS Retrieval of Aerosol Optical Depth over Turbid Coastal Water

1
Department of Chemical and Biochemical Engineering, The University of Iowa, Iowa City, IA 52242, USA
2
Center of Global and Regional Environmental Research, The University of Iowa, Iowa City, IA 52242, USA
3
Interdisciplinary Graduate Program in Informatics, The University of Iowa, Iowa City, IA 52242, USA
4
NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA
5
Marine Meteorology Division, Naval Research Laboratory, Monterey, CA 93943, USA
*
Author to whom correspondence should be addressed.
Academic Editors: Yang Liu, Omar Torres, Alexander A. Kokhanovsky and Prasad S. Thenkabail
Received: 23 March 2017 / Revised: 26 May 2017 / Accepted: 7 June 2017 / Published: 12 June 2017
(This article belongs to the Special Issue Remote Sensing of Atmospheric Pollution)
View Full-Text   |   Download PDF [8772 KB, uploaded 13 June 2017]   |  

Abstract

We present a new approach to retrieve Aerosol Optical Depth (AOD) using the Moderate Resolution Imaging Spectroradiometer (MODIS) over the turbid coastal water. This approach supplements the operational Dark Target (DT) aerosol retrieval algorithm that currently does not conduct AOD retrieval in shallow waters that have visible sediments or sea-floor (i.e., Class 2 waters). Over the global coastal water regions in cloud-free conditions, coastal screening leads to ~20% unavailability of AOD retrievals. Here, we refine the MODIS DT algorithm by considering that water-leaving radiance at 2.1 μm to be negligible regardless of water turbidity, and therefore the 2.1 μm reflectance at the top of the atmosphere is sensitive to both change of fine-mode and coarse-mode AODs. By assuming that the aerosol single scattering properties over coastal turbid water are similar to those over the adjacent open-ocean pixels, the new algorithm can derive AOD over these shallow waters. The test algorithm yields ~18% more MODIS-AERONET collocated pairs for six AERONET stations in the coastal water regions. Furthermore, comparison of the new retrieval with these AERONET observations show that the new AOD retrievals have equivalent or better accuracy than those retrieved by the MODIS operational algorithm’s over coastal land and non-turbid coastal water product. Combining the new retrievals with the existing MODIS operational retrievals yields an overall improvement of AOD over those coastal water regions. Most importantly, this refinement extends the spatial and temporal coverage of MODIS AOD retrievals over the coastal regions where 60% of human population resides. This expanded coverage is crucial for better understanding of impact of anthropogenic aerosol particles on coastal air quality and climate. View Full-Text
Keywords: AOD; coastal water; MODIS; retrieval AOD; coastal water; MODIS; retrieval
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Wang, Y.; Wang, J.; Levy, R.C.; Xu, X.; Reid, J.S. MODIS Retrieval of Aerosol Optical Depth over Turbid Coastal Water. Remote Sens. 2017, 9, 595.

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