Australian aquatic bio-optical dataset with applications for satellite calibration, algorithm development and validation

The authors present bio-optical data spanning 316 sets of observations made at 34 inland waterbodies in Australia. The data was collected over the period 2013-2021 and comprise radiometric measurements of remote sensing re-flectance (Rrs), diffuse attenuation extinction coefficient (Kd); optical backscattering; absorption of coloured dissolved or-ganic matter (aCDOM), phytoplankton (aph) and non-algal particles (aNAP); HPLC analysis of algal pigments including chlorophyll-a (CHL-a); organic and inorganic total suspended solids (TSS); and total and dissolved organic carbon concen-tration. Data collection has been timed to coincide with ei-ther Landsat 8 or Sentinel-2 overpasses. The dataset covers a diverse range of optical water types and is suitable for al-gorithm development, satellite calibration and validation as well as machine learning applications.(c) 2022 The Author(s). Published by Elsevier Inc. This is an open access article under the CC BY license ( http://creativecommons.org/licenses/by/4.0/ )

Automated summary

The authors present bio-optical data collected from 34 inland waterbodies in Australia spanning 316 sets of observations. The data, collected from 2013 to 2021, includes measurements of remote sensing reflectance, diffuse attenuation extinction coefficient, optical backscattering, absorption of colored dissolved organic matter, phytoplankton, and non-algal particles, as well as analysis of algal pigments and carbon concentrations. The dataset covers a diverse range of optical water types and is suitable for algorithm development, satellite calibration and validation, and machine learning applications.