Data

Coastal Water Quality Laboratory and In Situ Measurements of SIOPs (activity 2.1) and substratum (activity 2.2)

Commonwealth Scientific and Industrial Research Organisation
Anstee, Janet ; Botha, Hannelie ; Cherukuru, Nagur ; Clementson, Lesley ; Oubelkheir, Kadija ; Schroeder, Thomas ; Blondeau-Patissier, David ; Ford, Phillip ; Brando, Vittorio ; Dekker, Arnold ; Qin, Yi
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.25919/h7t0-1x34&rft.title=Coastal Water Quality Laboratory and In Situ Measurements of SIOPs (activity 2.1) and substratum (activity 2.2)&rft.identifier=10.25919/h7t0-1x34&rft.publisher=Commonwealth Scientific and Industrial Research Organisation (CSIRO)&rft.description=The objective of activity 2.1 is to provide a suite of key optical datasets to support and enable the application of optically deep and shallow water inversion algorithms on the NCI and DEA. This work has undertaken a robust assessment of the CSIRO O&A bio-optical data using peer-reviewed methods to develop a clear understanding of where these data are appropriate to use. The objective of activity 2.2 is to provide a set of substratum spectra that can be clearly defined from satellite image data sets at various spectral resolutions. This work has used the O&A substrate spectral library, a compilation of above water substratum spectral reflectance measurements collected since the mid 1990’s. A workflow was developed to select a representative substratum spectrum in 17 substratum types, representative of elements within shallow aquatic habitats. The spectral separability between these classes were assessed on several spectral scales, ranging from 5nm spectral resolution to the broad spectral responses of multispectral satellite sensors.The laboratory measurements were undertaken by the CSIRO O&A in the field and lab at Hobart.&rft.creator=Anstee, Janet &rft.creator=Botha, Hannelie &rft.creator=Cherukuru, Nagur &rft.creator=Clementson, Lesley &rft.creator=Oubelkheir, Kadija &rft.creator=Schroeder, Thomas &rft.creator=Blondeau-Patissier, David &rft.creator=Ford, Phillip &rft.creator=Brando, Vittorio &rft.creator=Dekker, Arnold &rft.creator=Qin, Yi &rft.date=2021&rft.edition=v1&rft.coverage=northlimit=-11.2306; southlimit=-44.985; westlimit=111.6583; eastLimit=157.6836; projection=WGS84&rft_rights=All Rights (including copyright) CSIRO 2020.&rft_rights=Creative Commons Attribution https://creativecommons.org/licenses/by/4.0/&rft_subject=IOPs, SIOPs, spectral reflectance of substratum&rft_subject=Environmental Monitoring&rft_subject=ENVIRONMENTAL SCIENCES&rft_subject=ENVIRONMENTAL SCIENCE AND MANAGEMENT&rft.type=dataset&rft.language=English Access the data

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Creative Commons Attribution
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All Rights (including copyright) CSIRO 2020.

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Data is accessible online and may be reused in accordance with licence conditions

Brief description

The objective of activity 2.1 is to provide a suite of key optical datasets to support and enable the application of optically deep and shallow water inversion algorithms on the NCI and DEA. This work has undertaken a robust assessment of the CSIRO O&A bio-optical data using peer-reviewed methods to develop a clear understanding of where these data are appropriate to use.
The objective of activity 2.2 is to provide a set of substratum spectra that can be clearly defined from satellite image data sets at various spectral resolutions. This work has used the O&A substrate spectral library, a compilation of above water substratum spectral reflectance measurements collected since the mid 1990’s. A workflow was developed to select a representative substratum spectrum in 17 substratum types, representative of elements within shallow aquatic habitats. The spectral separability between these classes were assessed on several spectral scales, ranging from 5nm spectral resolution to the broad spectral responses of multispectral satellite sensors.

Lineage

The laboratory measurements were undertaken by the CSIRO O&A in the field and lab at Hobart.

Data time period: 2001-01-01 to 2018-12-31

This dataset is part of a larger collection

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157.6836,-11.2306 157.6836,-44.985 111.6583,-44.985 111.6583,-11.2306 157.6836,-11.2306

134.67095,-28.1078

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