POSTER Session 1

Relationships between hyperspectral remote sensing reflectance and colored dissolved organic material absorption and fluorescence spectra in complex urban estuarine waters

Urban estuaries are dynamic systems that have significant socio-economic and biogeochemical importance. Due to the optical complexity of these waters, remote sensing approaches for monitoring colored dissolved organic material (CDOM) require continued development to fully constrain biogeochemical variability within them. Specifically, current multi-spectral approaches fail to capture optical variability associated with fluorescence, which is a valuable indicator of source, bioavailability, and seasonal processing. The recent launch of the NASA Plankton, Aerosol, Cloud, and ocean Ecosystem Ocean Color Instrument (PACE OCI) is expected to greatly improve our ability to monitor CDOM quality by offering increased resolution and range into the ultraviolet region of the spectrum. However, in order to develop robust satellite algorithms, we must first better understand the in situ relationships between hyperspectral remote sensing reflectance (Rrs) and the optical signatures of CDOM in the surface waters of urban estuaries. Therefore, this work examines the efficacy of machine learning (ML) algorithms to relate hyperspectral features to the optical (absorption and fluorescence) spectral indicators of quality and composition of CDOM. ML algorithms developed specifically for Long Island Sound were trained off six years of coupled in situ hyperspectral radiometric and optical measurements to examine the relationships between hyperspectral Rrs and the optical fingerprints imparted on the water by absorbing and fluorescing CDOM moieties. Finally, these models were applied to remote sensing imagery collected by PACE OCI over Long Island Sound to demonstrate the capabilities of hyperspectral remote sensing platforms for monitoring carbon dynamics in this complex urban estuarine system.

Luka Catipovic, City College of New York, USA, https://orcid.org/0000-0001-9211-4985

Maria Tzortziou, City College of New York, USA, https://orcid.org/0000-0002-4510-7827

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