Abstract

Baseline determination and operational continental scale monitoring of water quality are required for reporting on marine and inland water progress to Sustainable Development Goals (SDG). This study aims to improve our knowledge of the optical complexity of Australian waters. A workflow was developed to cluster the modelled spectral response of a range of in situ bio-optical observations collected in Australian coastal and continental waters into distinct optical water types (OWTs). Following clustering and merging, most of the modelled spectra and modelled specific inherent optical properties (SIOP) sets were clustered in 11 OWTs, ranging from clear blue coastal waters to very turbid inland lakes. The resulting OWTs were used to classify Sentinel-2 MSI surface reflectance observations extracted over relatively permanent water bodies in three drainage regions in Eastern Australia. The satellite data classification demonstrated clear limnological and seasonal differences in water types within and between the drainage divisions congruent with general limnological, topographical, and climatological factors. Locations of unclassified observations can be used to inform where in situ bio-optical data acquisition may be targeted to capture a more comprehensive characterization of all Australian waters. This can contribute to global initiatives like the SDGs and increases the diversity of natural water in global databases.

Highlights

  • Operational continental scale monitoring and baseline determination of water quality are fundamental for reporting on marine and inland water Sustainable Development Goals (SDG)

  • Water quality parameters that can be derived from Earth observation (EO) data include chlorophyll and phycocyanin concentrations [6,8], coloured dissolved organic matter (CDOM) [9], the concentration of total suspended solids (TSS) [10,11], and descriptors of the light environment of the water column, such as Secchi disk depth (SDz) [7], vertical attenuation (Kd), water clarity [12,13], and water colour [14,15,16], among others

  • This study aims to improve our knowledge of the optical complexity of Australian coastal and continental waters

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Summary

Introduction

Operational continental scale monitoring and baseline determination of water quality are fundamental for reporting on marine and inland water Sustainable Development Goals (SDG). Water quality parameters that can be derived from EO data include chlorophyll and phycocyanin concentrations [6,8], coloured dissolved organic matter (CDOM) [9], the concentration of total suspended solids (TSS) [10,11], and descriptors of the light environment of the water column, such as Secchi disk depth (SDz) [7], vertical attenuation (Kd), water clarity [12,13], and water colour [14,15,16], among others Their application at a continental scale is restricted by a lack of regional data for parameterization and validation of water quality information [4]

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