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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 reflectance (Rrs), diffuse attenuation extinction coefficient (Kd); optical back...

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Detalles Bibliográficos
Autores principales: Drayson, Nathan, Anstee, Janet, Botha, Hannelie, Kerrisk, Gemma, Ford, Phillip, Wojtasiewicz, Bozena, Clementson, Lesley, McLaughlin, James, Hutton, Marlee
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9364088/
https://www.ncbi.nlm.nih.gov/pubmed/35966948
http://dx.doi.org/10.1016/j.dib.2022.108489
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author Drayson, Nathan
Anstee, Janet
Botha, Hannelie
Kerrisk, Gemma
Ford, Phillip
Wojtasiewicz, Bozena
Clementson, Lesley
McLaughlin, James
Hutton, Marlee
author_facet Drayson, Nathan
Anstee, Janet
Botha, Hannelie
Kerrisk, Gemma
Ford, Phillip
Wojtasiewicz, Bozena
Clementson, Lesley
McLaughlin, James
Hutton, Marlee
author_sort Drayson, Nathan
collection PubMed
description 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.
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spelling pubmed-93640882022-08-11 Australian aquatic bio-optical dataset with applications for satellite calibration, algorithm development and validation Drayson, Nathan Anstee, Janet Botha, Hannelie Kerrisk, Gemma Ford, Phillip Wojtasiewicz, Bozena Clementson, Lesley McLaughlin, James Hutton, Marlee Data Brief Data Article 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. Elsevier 2022-07-26 /pmc/articles/PMC9364088/ /pubmed/35966948 http://dx.doi.org/10.1016/j.dib.2022.108489 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Data Article
Drayson, Nathan
Anstee, Janet
Botha, Hannelie
Kerrisk, Gemma
Ford, Phillip
Wojtasiewicz, Bozena
Clementson, Lesley
McLaughlin, James
Hutton, Marlee
Australian aquatic bio-optical dataset with applications for satellite calibration, algorithm development and validation
title Australian aquatic bio-optical dataset with applications for satellite calibration, algorithm development and validation
title_full Australian aquatic bio-optical dataset with applications for satellite calibration, algorithm development and validation
title_fullStr Australian aquatic bio-optical dataset with applications for satellite calibration, algorithm development and validation
title_full_unstemmed Australian aquatic bio-optical dataset with applications for satellite calibration, algorithm development and validation
title_short Australian aquatic bio-optical dataset with applications for satellite calibration, algorithm development and validation
title_sort australian aquatic bio-optical dataset with applications for satellite calibration, algorithm development and validation
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9364088/
https://www.ncbi.nlm.nih.gov/pubmed/35966948
http://dx.doi.org/10.1016/j.dib.2022.108489
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