MODIS derived Coloured Dissolved Organic Matter (CDOM) datasets

The datasets measure the Coloured Dissolved Organic Matter (CDOM) concentrations of ocean surface waters. They are derived products from MODIS (aqua) images using NASA's SeaDAS image processing software. The extent of the datasets covers the entire Australian EEZ and surrounding waters (including the southern ocean). The spatial resolution of the datasets is 0.01 dd. The datasets contain 36 monthly CDOM layers between 2009 and 2011. The unit of the datasets is 1/m.

Identification info

Date (Publication): 2013-01-01T00:00:00

Citation identifier: Geoscience Australia Persistent Identifier/https://pid.geoscience.gov.au/dataset/ga/77005

Cited responsible party

Role	Organisation / Individual Name	Details
Publisher	Geoscience Australia	Canberra
Author	Huang, Z.	1

Point of contact

Role	Organisation / Individual Name	Details
Custodian	EGD
Owner	Commonwealth of Australia (Geoscience Australia)
Custodian	Commonwealth of Australia (Geoscience Australia)	Voice

Topic category

Oceans

Extent

Maintenance and update frequency: Not planned

Keywords

Marine Data

Theme

remote sensing

Theme

NERP Marine Biodiversity Hub

Theme

marine

Theme

NERP

Australian and New Zealand Standard Research Classification (ANZSRC)

Marine Geoscience

Keywords

Published_External

Resource constraints

Title: Creative Commons Attribution 4.0 International Licence

Alternate title: CC-BY

Edition: 4.0

Website

http://creativecommons.org/licenses/

Access constraints: License

Use constraints: License

Resource constraints

Title: Australian Government Security ClassificationSystem

Edition date: 2018-11-01T00:00:00

Website

https://www.protectivesecurity.gov.au/Pages/default.aspx

Classification: Unclassified

Language: English

Character encoding: UTF8

Distribution Information

Distributor contact

Role	Organisation / Individual Name	Details
Distributor	Commonwealth of Australia (Geoscience Australia)	Voice

OnLine resource: File download

Download the January 2009 data (ArcGIS-grid)

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Download the February 2009 data (ArcGIS-grid)

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Download the March 2009 data (ArcGIS-grid)

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Download the April 2009 data (ArcGIS-grid)

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Download the May 2009 data (ArcGIS-grid)

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Download the June 2009 data (ArcGIS-grid)

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Download the July 2009 data (ArcGIS-grid)

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Download the August 2009 data (ArcGIS-grid)

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Download the September 2009 data (ArcGIS-grid)

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Download the October 2009 data (ArcGIS-grid)

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Download the November 2009 data (ArcGIS-grid)

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Download the December 2009 data (ArcGIS-grid)

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Download the January 2010 data (ArcGIS-grid)

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Download the February 2010 data (ArcGIS-grid)

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Download the March 2010 data (ArcGIS-grid)

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Download the April 2010 data (ArcGIS-grid)

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Download the May 2010 data (ArcGIS-grid)

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Download the June 2010 data (ArcGIS-grid)

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Download the July 2010 data (ArcGIS-grid)

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Download the August 2010 data (ArcGIS-grid)

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Download the September 2010 data (ArcGIS-grid)

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Download the October 2010 data (ArcGIS-grid)

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Download the November 2010 data (ArcGIS-grid)

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Download the December 2010 data (ArcGIS-grid)

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Download the January 2011 data (ArcGIS-grid)

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Download the February 2011 data (ArcGIS-grid)

OnLine resource: File download

Download the March 2011 data (ArcGIS-grid)

OnLine resource: File download

Download the April 2011 data (ArcGIS-grid)

OnLine resource: File download

Download the May 2011 data (ArcGIS-grid)

OnLine resource: File download

Download the June 2011 data (ArcGIS-grid)

OnLine resource: File download

Download the July 2011 data (ArcGIS-grid)

OnLine resource: File download

Download the August 2011 data (ArcGIS-grid)

OnLine resource: File download

Download the September 2011 data (ArcGIS-grid)

OnLine resource: File download

Download the October 2011 data (ArcGIS-grid)

OnLine resource: File download

Download the November 2011 data (ArcGIS-grid)

OnLine resource: File download

Download the December 2011 data (ArcGIS-grid)

Resource lineage

Statement

The CDOM datasets are derived products of MODIS (Aqua) images. SeaDAS (version 6.1) was used to process the MODIS data from raw to L3 products. The algorithm used here was based on a modified QAA (Lee et al., 2002) algorithm (Zhu and Yu, 2012):

j1=0.63

j2=0.88

aw_443=0.00696

ap_443=j1 * power(bbp_555,j2)

ag_443=a_443 - aw_443 - ap_443

Where a_443 is total absorption coefficient at 443 nm, aw_443 is water absorption coefficient at 443 nm, ap_443 is particles absorption coefficient at 443 nm, bbp_555 is particles backscatter coefficient at 555 nm, and ag_443 is CDOM absorption coefficient at 443 nm.

bbp_555 and a_443 from QAA algorithm can be directly derived using SeaDAS.

The sequences of processing included:

1. raw - L1A,

2. L1A - L1B,

3. L1B - L2,

4. L2 - L3 (spatial) binning, and

5. L3 binning to L3 time-binning.

The first four steps were applied to all individual (daily) raw images to obtain bbp_555 and a_443 products. After completing the above steps for one-month-worth images (around 300 images), in the fifth step, four weekly images were generated:

1. week1: from the 1st to the 7th of the month;

2. week2: from the 8th to the 14th of the month;

3. week3: from the 15th to the 21st of the month;

4. week4: from the 22nd to the last day of the month.

The four weekly images were exported as HDF files, then imported into ArcGIS and converted into ArcInfo grids. Next, the weekly products of bbp_555 and a_443 were entered into the above-described algorithm to calculate weekly CDOM products. Finally, the four weekly CDOM grids were mosaiced into a monthly image using the averaging method.

The above processes were repeated to generate the final 36 monthly datasets between 2009 and 2011.

Lee, Z.P., Carder, K.L., Arnone, R.A., 2002. Deriving inherent optical properties from water color: a multiband quasi-analytical algorithm for optically deep waters, Applied Optics, 41, 5755-5772.

Zhu, W.; Yu, Q.; , "Inversion of Chromophoric Dissolved Organic Matter From EO-1 Hyperion Imagery for Turbid Estuarine and Coastal Waters," Geoscience and Remote Sensing, IEEE Transactions on , vol.PP, no.99, pp.1-13, 0 doi: 10.1109/TGRS.2012.2224117

Hierarchy level: Dataset

Description: NERP Marine Biodiversity Hub

Metadata constraints

Title: Australian Government Security ClassificationSystem

Edition date: 2018-11-01T00:00:00

Website

https://www.protectivesecurity.gov.au/Pages/default.aspx

Classification: Unclassified

Metadata

Metadata identifier

urn:uuid/e3dd1af5-7b00-50fd-e044-00144fdd4fa6

Title: GeoNetwork UUID

Language: English

Character encoding: UTF8

Contact

Role	Organisation / Individual Name	Details
Point of contact	Commonwealth of Australia (Geoscience Australia)	Voice

Type of resource

Resource scope: Dataset

Name: dataset

Alternative metadata reference

Title

Geoscience Australia - short identifier for metadata record with

uuid

Citation identifier: eCatId/77005

Metadata linkage

https://ecat.ga.gov.au/geonetwork/srv/eng/catalog.search#/metadata/e3dd1af5-7b00-50fd-e044-00144fdd4fa6

Date info (Revision): 2018-04-22T08:21:43

Date info (Creation): 2013-08-14T00:00:00

Metadata standard

Title: AU/NZS ISO 19115-1:2014

Metadata standard

Title: ISO 19115-1:2014

Metadata standard

Title: ISO 19115-3

Title: Geoscience Australia Community Metadata Profile of ISO 19115-1:2014

Edition: Version 2.0, September 2018

Citation identifier: https://pid.geoscience.gov.au/dataset/ga/122551

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