Chlorophyll retrieval accuracies from satellite and in-situ radiometric measurements in Open Ocean and complex and bloom waters  (Conference Presentation)

Samir Ahmed; Ahmed El-Habashi; Claudia Duran; Vincent Lovko; Stefanos Spiratos

doi:10.1117/12.2521147

14 May 2019 Chlorophyll retrieval accuracies from satellite and in-situ radiometric measurements in Open Ocean and complex and bloom waters (Conference Presentation)

Samir Ahmed, Ahmed El-Habashi, Claudia Duran, Vincent Lovko, Stefanos Spiratos

Author Affiliations +

Proceedings Volume 11014, Ocean Sensing and Monitoring XI; 110140D (2019) https://doi.org/10.1117/12.2521147
Event: SPIE Defense + Commercial Sensing, 2019, Baltimore, MD, United States

Abstract

We examine the potential for ocean color (OC) retrievals using a neural network (NN) technique recently developed by us to make up for the lack of a 678 nm fluorescence band on VIIRS, previously available on MODIS and important for Karenia brevis harmful algal bloom (KB HABs) retrievals. NN uses VIIRS Remote Sensing Reflectance (Rrs) at 486, 551 and 671 nm to retrieve phytoplankton absorption at 443nm, from which both chlorophyll [Chla] concentrations and KB HABs can be inferred. NN retrievals are compared with retrievals obtained using different ocean color algorithms for both complex and open ocean waters. Retrievals were compared using both satellite match-ups and in-situ radiometric Rrs measurements against sample measurements of different field campaigns in the WFS and Atlantic coasts, 2014-18. VIIRS KB HABs retrievals in the WFS, using NN and other algorithms, are compared against retrievals obtained for different algorithms using satellite observations and in-situ radiometric Rrs measurements against sample measurements, 2017-18, for both the WFS and Atlantic coasts. Retrieval statistics showed (i) the important impact of temporal inter-intra pixel variations and sample depth considerations in complex bloom waters. These limit satellite retrieval accuracies and utility; and (ii) particularly for high chlorophyll bloom waters, better retrieval accuracies were obtained with NN followed by OCI/OCx algorithms. Likely rationales: the longer Rrs wavelengths used with NN are less vulnerable (i) to atmospheric correction inadequacies than the deeper blue wavelengths used with other algorithms, and (ii) to spectral interference by CDOM in more complex waters.

Conference Presentation

Citation Download Citation

Samir Ahmed, Ahmed El-Habashi, Claudia Duran, Vincent Lovko, and Stefanos Spiratos "Chlorophyll retrieval accuracies from satellite and in-situ radiometric measurements in Open Ocean and complex and bloom waters (Conference Presentation)", Proc. SPIE 11014, Ocean Sensing and Monitoring XI, 110140D (14 May 2019); https://doi.org/10.1117/12.2521147

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
PRESENTATION

WATCH
PRESENTATION SAVE TO MY LIBRARY

GET CITATION

KEYWORDS

Satellites

Absorption

Atmospheric corrections

Earth observing sensors

Luminescence

MODIS

Neural networks

Show All Keywords

Keywords/Phrases

Search In:

Publication Years