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Augmenting Satellite Remote Sensing with AERONET-OC for Plume Monitoring in the Chesapeake BaySatellite observations provide broad spatial coverage of complex coastal environments but may lack temporal resolution to capture rapid changes in these dynamic systems. This study explores the potential of the recently installed NASA Aerosol Robotic Network Ocean Color (AERONET-OC) in the Chesapeake Bay, USA, both for comparison with satellite remote sensing and to complement the satellite observations by filling temporal gaps at a fixed site. Using AERONET-OC’s effectiveness as a validation tool through comparisons with multi- and hyperspectral satellites, we find agreement between AERONET-OC and satellite remote sensing reflectance measurements in the Chesapeake Bay. We use AERONET-OC to estimate total suspended matter transport through the upper bay, revealing a 3-day lag of sediment plume transport from riverine discharge to the AERONET-OC site. During the 2023 Canadian wildfire smoke episode, AERO-NET-OC aerosol optical depth measurements in the Chesapeake Bay agree with satellite products while capturing diurnal variations that are not observable through daily satellite passes. This study demonstrates the potential of continuous in situ monitoring by AERONET-OC to complement satellite observations with higher frequency, important for capturing extreme events that may be missed by daily satellite overpass or are less frequent when cloudy.
Document ID
20250005221
Acquisition Source
Goddard Space Flight Center
Document Type
Accepted Manuscript (Version with final changes)
Authors
Samantha Lynn Smith
(Science Systems & Applications, Inc. Hampton, VA, USA)
Stephanie Schollaert Uz ORCID
(Goddard Space Flight Center Greenbelt, United States)
John Blake Clark ORCID
(University of Maryland, Baltimore County (UMBC) Baltimore, MD, United States)
Dirk Aurin ORCID
(Morgan State University Baltimore, United States)
Date Acquired
May 19, 2025
Publication Date
May 19, 2025
Publication Information
Publication: Remote Sensing
Publisher: Multidisciplinary Digital Publishing Institute (Switzerland)
Issue: 17
URL: https://www.mdpi.com/2072-4292/17/10/1767
Subject Category
Earth Resources and Remote Sensing
Funding Number(s)
CONTRACT_GRANT: NNH21ZDA1N-AIST
Distribution Limits
Public
Copyright
Use by or on behalf of the US Gov. Permitted.
Technical Review
External Peer Committee
Keywords
AERONET-OC
Chesapeake Bay
satellite remote sensing
water quality
ocean color
smoke
turbid water
atmospheric remote sensing
aquatic remote sensing
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