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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...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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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. |
format | Online Article Text |
id | pubmed-9364088 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
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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