Data

IMOS - Satellite Remote Sensing - NOAA20 - 01 day - Optical Water Type (Moore et al 2009 algorithm)

Australian Ocean Data Network
Integrated Marine Observing System (IMOS)
Viewed: [[ro.stat.viewed]] Cited: [[ro.stat.cited]] Accessed: [[ro.stat.accessed]]
ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=https://catalogue-imos.aodn.org.au:443/geonetwork/srv/api/records/5f359ca7-396a-4c1a-8388-77a50ad39859&rft.title=IMOS - Satellite Remote Sensing - NOAA20 - 01 day - Optical Water Type (Moore et al 2009 algorithm)&rft.identifier=https://catalogue-imos.aodn.org.au:443/geonetwork/srv/api/records/5f359ca7-396a-4c1a-8388-77a50ad39859&rft.description=The NOAA20 satellite platform carries a VIIRS sensor that observes sunlight reflected from within the ocean surface layer at multiple wavelengths. These measurements at discrete wavelengths represent the spectrum of light leaving the water surface, and the shape of the spectrum is characteristic of the water optical properties. Moore et al. (2009, RSE, 113, pp2424-2430, doi:10.1016/j.rse.2009.07.016) applied a clustering technique to spectra to identify 8 sets of discrete optical water types for data from the MODIS sensor. This product owtd_csiro is produced using a CSIRO implementation of the Moore et al. algorithm, and testing shows that it closely reproduces the results of the original Moore et al implementation in the NASA SeaDAS package. The CSIRO implementation was created because the implementation in SeaDAS has not been kept up to date, and to extend the product to the VIIRS sensor.Statement: The radiometric sensitivity of the VIIRS sensor is evolving continuously during its mission and is monitored regularly by NASA. The SeaDAS software uses tables of calibration coefficients that are updated periodically. From time to time upgrades to the algorithms and/or the format of the calibration tables are required, in which case a new version of SeaDAS is released. These data were initially being produced using SeaDAS 8.x and more recently, with SeaDAS 9.x. The data are produced by combining the near real time (nrt) data stream from all the available direct broadcast reception stations in Australia with delayed-mode data from NASA in the US. The data have been remapped from satellite projection into a geographic (Latitude/Longitude axes) projection (0.01 degree sampling) and are presented as a sequence of daily mosaics covering the region (80 &rft.creator=Integrated Marine Observing System (IMOS) &rft.date=2025&rft.coverage=westlimit=80.00; southlimit=-60.00; eastlimit=179.90; northlimit=10.00&rft.coverage=westlimit=80.00; southlimit=-60.00; eastlimit=179.90; northlimit=10.00&rft_rights=Creative Commons Attribution 4.0 International License http://creativecommons.org/licenses/by/4.0/&rft_rights=The citation in a list of references is: IMOS [year-of-data-download], [Title], [data-access-URL], accessed [date-of-access].&rft_rights=Any users of IMOS data are required to clearly acknowledge the source of the material derived from IMOS in the format: Data was sourced from Australia’s Integrated Marine Observing System (IMOS) – IMOS is enabled by the National Collaborative Research Infrastructure strategy (NCRIS). If relevant, also credit other organisations involved in collection of this particular datastream (as listed in 'credit' in the metadata record).&rft_rights=Data, products and services from IMOS are provided as is without any warranty as to fitness for a particular purpose.&rft_subject=oceans&rft_subject=OCEAN COLOR&rft_subject=EARTH SCIENCE&rft_subject=OCEANS&rft_subject=OCEAN OPTICS&rft_subject=Marine Features (Australia) | Great Australian Bight, SA/WA&rft_subject=Regional Seas | Java Sea&rft_subject=Regional Seas | Banda Sea&rft_subject=Regional Seas | Solomon Sea&rft_subject=Global / Oceans | Indian Ocean&rft_subject=Global / Oceans | Southern Ocean&rft_subject=Global / Oceans | Pacific Ocean&rft_subject=Regional Seas | Arafura Sea&rft_subject=Regional Seas | Celebes Sea&rft_subject=Regional Seas | Timor Sea&rft_subject=Regional Seas | Coral Sea&rft_subject=Marine Features (Australia) | Bass Strait, TAS/VIC&rft_subject=Regional Seas | Tasman Sea&rft_subject=Regional Seas | Philippine Sea&rft_subject=States, Territories (Australia) | Queensland&rft_subject=Countries | Vanuatu&rft_subject=States, Territories (Australia) | New South Wales&rft_subject=Countries | Fiji&rft_subject=Countries | Indonesia&rft_subject=States, Territories (Australia) | Tasmania&rft_subject=Countries | Papua New Guinea&rft_subject=Countries | Philippines&rft_subject=Countries | New Zealand&rft_subject=Countries | New Caledonia&rft_subject=Countries | Malaysia&rft_subject=Countries | Australia&rft_subject=States, Territories (Australia) | South Australia&rft_subject=States, Territories (Australia) | Western Australia&rft_subject=Countries | Timor-Leste&rft_subject=States, Territories (Australia) | Victoria&rft_subject=States, Territories (Australia) | Northern Territory&rft_subject=NOAA-20&rft_subject=ocean colour radiometers&rft_subject=Ocean Colour Sub-Facility, Integrated Marine Observing System (IMOS)&rft.type=dataset&rft.language=English Access the data

Licence & Rights:

Open Licence view details
CC-BY

Creative Commons Attribution 4.0 International License
http://creativecommons.org/licenses/by/4.0/

The citation in a list of references is: "IMOS [year-of-data-download], [Title], [data-access-URL], accessed [date-of-access]."

Any users of IMOS data are required to clearly acknowledge the source of the material derived from IMOS in the format: "Data was sourced from Australia’s Integrated Marine Observing System (IMOS) – IMOS is enabled by the National Collaborative Research Infrastructure strategy (NCRIS)." If relevant, also credit other organisations involved in collection of this particular datastream (as listed in 'credit' in the metadata record).

Data, products and services from IMOS are provided "as is" without any warranty as to fitness for a particular purpose.

Access:

Other

Full description

The NOAA20 satellite platform carries a VIIRS sensor that observes sunlight reflected from within the ocean surface layer at multiple wavelengths. These measurements at discrete wavelengths represent the spectrum of light leaving the water surface, and the shape of the spectrum is characteristic of the water optical properties.

Moore et al. (2009, RSE, 113, pp2424-2430, doi:10.1016/j.rse.2009.07.016) applied a clustering technique to spectra to identify 8 sets of discrete optical water types for data from the MODIS sensor. This product "owtd_csiro" is produced using a CSIRO implementation of the Moore et al. algorithm, and testing shows that it closely reproduces the results of the original Moore et al implementation in the NASA SeaDAS package. The CSIRO implementation was created because the implementation in SeaDAS has not been kept up to date, and to extend the product to the VIIRS sensor.

Lineage

Statement: The radiometric sensitivity of the VIIRS sensor is evolving continuously during its mission and is monitored regularly by NASA. The SeaDAS software uses tables of calibration coefficients that are updated periodically. From time to time upgrades to the algorithms and/or the format of the calibration tables are required, in which case a new version of SeaDAS is released. These data were initially being produced using SeaDAS 8.x and more recently, with SeaDAS 9.x. The data are produced by combining the near real time (nrt) data stream from all the available direct broadcast reception stations in Australia with delayed-mode data from NASA in the US. The data have been remapped from satellite projection into a geographic (Latitude/Longitude axes) projection (0.01 degree sampling) and are presented as a sequence of daily mosaics covering the region (80 <= Longitude <= 180, -60 <= Latitude <= +10) formatted as CF-compliant netCDF files. It should be noted that the data are not processed until the definitive spacecraft ephemeris becomes available, usually 12-24 hours after the overpass. This means that the geolocation should be of a uniformly high standard. The filenames are of the form J.P1D.yyyymmddThhmmssZ.aust.owtd_csiro.nc, where 'J' denotes NOAA20/VIIRS, 'yyyymmddThhmmssZ' is the GMT date of the mosaic, 'aust' indicates a whole-of-Australia mosaic and the 'nc' suffix is for netCDF4 format data files. Files are written in netCDF4 format with compression.

Notes

Credit
Australia’s Integrated Marine Observing System (IMOS) is enabled by the National Collaborative Research Infrastructure Strategy (NCRIS). It is operated by a consortium of institutions as an unincorporated joint venture, with the University of Tasmania as Lead Agent.
Credit
CSIRO Oceans and Atmosphere
Credit
Curtin University

Created: 07 02 2025

Data time period: 2022-05-21

This dataset is part of a larger collection

179.9,10 179.9,-60 80,-60 80,10 179.9,10

129.95,-25

text: westlimit=80.00; southlimit=-60.00; eastlimit=179.90; northlimit=10.00

Other Information
Link to OPENDAP server

url : http://thredds.aodn.org.au/thredds/catalog/IMOS/SRS/OC/gridded/noaa20/catalog.html

Satellite Remote Sensing page on IMOS website

url : http://imos.org.au/srs.html

Moore et al. 2009 paper

doi : https://doi.org/10.1016/j.rse.2009.07.016

SRS - OWTD - WMS layer (srs_oc_noaa20_owtd_csiro_url/owtd_csiro)

url : http://geoserver-123.aodn.org.au/geoserver/ncwms

The GoGoDuck subsets and aggregates gridded data. Data is returned as a NetCDF file. (srs_oc_noaa20_owtd_csiro_url)

url : https://processes.aodn.org.au/wps

GoGoDuck help documentation

url : https://help.aodn.org.au/web-services/gogoduck-aggregator/

The ncUrlList is a WFS service that returns a list of URLs matching a query. (srs_oc_noaa20_owtd_csiro_url#file_url)

url : https://geoserver-123.aodn.org.au/geoserver/ows

ncUrlList help documentation

url : https://help.aodn.org.au/web-services/ncurllist-service/

global : 8209bf83-0c3c-4fbe-9f36-41f7a5ee9913

Identifiers
  • global : 5f359ca7-396a-4c1a-8388-77a50ad39859
ACN 633 798 857