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

Nathan Drayson; Janet Anstee; Hannelie Botha; Gemma Kerrisk; Phillip Ford; Bozena Wojtasiewicz; Lesley Clementson; James McLaughlin; Marlee Hutton

doi:10.1016/j.dib.2022.108489

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

Data Brief. 2022 Jul 26:44:108489. doi: 10.1016/j.dib.2022.108489. eCollection 2022 Oct.

Authors

Nathan Drayson¹, Janet Anstee¹, Hannelie Botha¹, Gemma Kerrisk¹, Phillip Ford¹, Bozena Wojtasiewicz², Lesley Clementson², James McLaughlin³, Marlee Hutton³

Affiliations

¹ CSIRO, Oceans and Atmosphere, Black Mountain, Canberra, ACT 2601, Australia.
² CSIRO, Oceans and Atmosphere, Castray Esplanade, Battery Point TAS 7004, Australia.
³ CSIRO, Oceans and Atmosphere, Crawley, WA 6009, Australia.

Abstract

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 reflectance (Rrs), diffuse attenuation extinction coefficient (Kd); optical backscattering; absorption of coloured dissolved organic 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 concentration. Data collection has been timed to coincide with either Landsat 8 or Sentinel-2 overpasses. The dataset covers a diverse range of optical water types and is suitable for algorithm development, satellite calibration and validation as well as machine learning applications.

Keywords: Aquatic bio-optical properties; Aquatic remote sensing algorithm development; Aquatic remote sensing reflectance; Inland water quality.