Abstract

Light emerging from natural water bodies and measured by radiometers contains information about the local type and concentrations of phytoplankton, non-algal particles and colored dissolved organic matter in the underlying waters. An increase in spectral resolution in forthcoming satellite and airborne remote sensing missions is expected to lead to new or improved capabilities for characterizing aquatic ecosystems. Such upcoming missions include NASA's Plankton, Aerosol, Cloud, ocean Ecosystem (PACE) mission; the NASA Surface Biology and Geology designated observable mission; and NASA Airborne Visible/Infrared Imaging Spectrometer - Next Generation (AVIRIS-NG) airborne missions. In anticipation of these missions, we present an organized dataset of geographically diverse, quality-controlled, high spectral resolution inherent and apparent optical property (IOP-AOP) aquatic data. The data are intended to be of use to increase our understanding of aquatic optical properties, to develop aquatic remote sensing data product algorithms, and to perform calibration and validation activities for forthcoming aquatic-focused imaging spectrometry missions. The dataset is comprised of contributions from several investigators and investigating teams collected over a range of geographic areas and water types, including inland waters, estuaries, and oceans. Specific in situ measurements include remote-sensing reflectance, irradiance reflectance, and coefficients describing particulate absorption, particulate attenuation, non-algal particulate absorption, colored dissolved organic matter absorption, phytoplankton absorption, total absorption, total attenuation, particulate backscattering, and total backscattering. The dataset can be downloaded from https://doi.org/10.1594/PANGAEA.902230 (Casey et al., 2019).

Highlights

  • Remote sensing of Earth’s aquatic areas is a powerful means to understand water quality, aquatic, and ecological dynamics and the concentrations and types of phytoplankton, colored dissolved organic matter, and non-algal particles present over time

  • Aquatic remote sensing initially focused on chlorophyll a concentration ([Chl]) (NASA GSFC, Ocean Biology Processing Group, 2014), which serves as a proxy for understanding the distribution of phytoplankton biomass

  • We describe the spatial and temporal resolution covered by the dataset for coincident inherent optical properties (IOPs) and apparent optical properties (AOPs), where coincident data describes data that have range in reflectance values (Rrs) and at least one IOP variable available

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Summary

Introduction

Remote sensing of Earth’s aquatic areas is a powerful means to understand water quality, aquatic, and ecological dynamics and the concentrations and types of phytoplankton, colored dissolved organic matter, and non-algal particles present over time. Aquatic remote sensing is being further used to aid the understanding of more complex dynamics including atmosphere–ocean heat exchange and the role and feedback effects of aquatic constituents, as well as alteration of phytoplankton community structure in a changing climate (Kim et al, 2018; Dutkiewicz et al, 2019; Del Castillo et al, 2019). These analysis approaches involve numerical modeling and analyzing radiometric variability of many spectral bands

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