Product catalogue
MODIS Derived Primary Productivity: Seasonal Hotspots
<p>The dataset indicates the seasonal primary productivity hotspots of ocean surface waters. They are derived from MODIS (aqua) images using NASA's SeaDAS image processing software. The monthly chlorophyll a images between July 2002 and August 2014 are used to identify the primary productivity hotspots of the four austral seasons: winter (June, July, and August), spring (September, October and November), summer (December, January and February) and autumn (March, April and May). The extent of the dataset covers the entire Australian EEZ and surrounding waters (including the southern ocean). The value (between 0 and 1.0) of the dataset represents the likelihood of the location being a primary productivity hotspot.
<p>This research is supported by the National Environmental Science Program (NESP) Marine Biodiversity Hub through Project D1.
Simple
Identification info
- Date (Creation)
- 2017-11-28T00:00:00
- Date (Publication)
- 2018-01-03T22:18:18
- Citation identifier
- Geoscience Australia Persistent Identifier/https://pid.geoscience.gov.au/dataset/ga/115244
- Citation identifier
- Digital Object Identifier/http://dx.doi.org/10.4225/25/5a4d55d09f3bf
- Cited responsible party
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Role Organisation / Individual Name Details Author Huang, Z.
- Status
- Point of contact
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Role Organisation / Individual Name Details Author Huang, Z.
Commonwealth of Australia (Geoscience Australia)
Voice Resource provider EGD
Commonwealth of Australia (Geoscience Australia)
Voice
- Spatial representation type
- Grid
Spatial resolution
- Level of detail
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0.01 dd
- Topic category
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- Oceans
Extent
Temporal extent
- Time period
- 2002-07-01 2016-12-31
Extent
))
- Maintenance and update frequency
- As needed
Resource format
- Title
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Product data repository: Various Formats
- Website
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Data Store directory containing the digital product files
Data Store directory containing one or more files, possibly in a variety of formats, accessible to Geoscience Australia staff only for internal purposes
- Feature type
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primary productivity
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- Instrument
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MODIS
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- Australian and New Zealand Standard Research Classification: Fields of Research
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Earth Sciences
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- Keywords
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National Environmental Science Program
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- Keywords
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Marine Biodiversity Hub
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- Keywords
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Published_External
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Resource constraints
- Title
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Creative Commons Attribution 4.0 International Licence
- Alternate title
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CC-BY
- Edition
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4.0
- Access constraints
- License
- Use constraints
- License
Resource constraints
- Title
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Australian Government Security ClassificationSystem
- Edition date
- 2018-11-01T00:00:00
- Classification
- Unclassified
- Language
- English
- Character encoding
- UTF8
Distribution Information
- Distributor contact
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Role Organisation / Individual Name Details Distributor Commonwealth of Australia (Geoscience Australia)
Voice
- OnLine resource
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Download the data (tif)
Download the data (tif)
Resource lineage
- Statement
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The daily MODIS Aqua Chlorophyll a images processed to Level 2 were obtained from the Integrated Marine Observing System (IMOS; http://imos.org.au/) remote sensing facility. The Chlorophyll a algorithm used is the semi-analytical GSM algorithm (Garver and Siegel 1997; Maritorena et al. 2002). The monthly Chlorophyll a images were generated by mosaicking the daily Chlorophyll a images, where the overlapping locations have average values of the overlapping cells. The topographic position index (TPI) (Weiss 2001) images were then calculated from the monthly Chlorophyll a images. A positive and large TPI value indicates a likely primary productivity hotspot location. Next , the TPI images were converted into the hotspot likelihood images by using the following rules:
1. If the TPI value is greater than 0.5 time of the TPI image's spatial standard deviation (STD) then the likelihood equals to 1.0.
2. If the TPI value is smaller than 0.1 time of TPI image's spatial standard deviation (STD) then the likelihood equals to 0.
3. If the TPI value is greater than 0.1 time but smaller than 0.5 time of TPI image's spatial standard deviation (STD) then the likelihood is calculated using this linear equation: (TPI - 0.1*STD)/0.4*STD.
It should be noted that the TPI images have variable spatial standard deviations.
The seasonal means were then calculated from the monthly primary productivity likelihood images of the corresponding seasons between July 2002 and August 2014. For example, the winter mean was obtained from all June, July and August images. The spring mean was obtained from all September, October and November images. The summer mean was obtained from all December, January and February images. The autumn mean was obtained from all March, April and May images.
The Great Barrier Reef and a number of offshore reefs have been masked out due to the unreliable MODIS Chlorophyll a values known to occur at these shallow water areas.
- Hierarchy level
- Dataset
Metadata constraints
- Title
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Australian Government Security ClassificationSystem
- Edition date
- 2018-11-01T00:00:00
- Classification
- Unclassified
Metadata
- Metadata identifier
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urn:uuid/26ea2545-db37-4b17-83c6-2cceeda47403
- Title
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GeoNetwork UUID
- Language
- English
- Character encoding
- UTF8
- Contact
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Role Organisation / Individual Name Details Point of contact Huang, Z.
Commonwealth of Australia (Geoscience Australia)
Voice
Type of resource
- Resource scope
- Dataset
Alternative metadata reference
- Title
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Geoscience Australia - short identifier for metadata record with
uuid
- Citation identifier
- eCatId/115244
- Date info (Creation)
- 2017-11-28T03:24:47
- Date info (Revision)
- 2018-04-20T05:50:40
Metadata standard
- Title
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AU/NZS ISO 19115-1:2014
Metadata standard
- Title
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ISO 19115-1:2014
Metadata standard
- Title
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ISO 19115-3
- Title
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Geoscience Australia Community Metadata Profile of ISO 19115-1:2014
- Edition
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Version 2.0, September 2018
- Citation identifier
- https://pid.geoscience.gov.au/dataset/ga/122551