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MODIS Derived Primary Productivity: Overall Hotspots  


Authors / CoAuthors

Huang, Z.

Abstract

<p>The dataset indicates the long-term overall 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 overall primary productivity hotspots. 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.

Product Type

dataset

eCat Id

115245

Contact for the resource

  Author

Commonwealth of Australia (Geoscience Australia)  
Cnr Jerrabomberra Ave and Hindmarsh Dr GPO Box 378
Canberra
ACT
2601
Australia

  Resource provider

EGD Commonwealth of Australia (Geoscience Australia)  
Cnr Jerrabomberra Ave and Hindmarsh Dr GPO Box 378
Canberra
ACT
2601
Australia

Digital Object Identifier

http://dx.doi.org/10.4225/25/5a4d5951881cb

Keywords

( Feature type )
  • primary productivity
( Instrument )
  • MODIS
Australian and New Zealand Standard Research Classification: Fields of Research
  • Earth Sciences
  • National Environmental Science Program
  • Marine Biodiversity Hub
  • Published_External

Publication Date

2018-01-03T22:32:37

Creation Date

2017-11-28T00:00:00

Security Constraints

Australian Government Security ClassificationSystem    

Classification - unclassified

Legal Constraints

Creative Commons Attribution 4.0 International Licence    

Access - license

Use - license

Status

Purpose

Maintenance Information

asNeeded

Topic Category

oceans

Series Information

Lineage

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 temporal mean was then calculated from all of the monthly primary productivity likelihood images between July 2002 and August 2014 to represent the overall likelihood of primary productivity hotspots. 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.

Parent Information

Extents

[-60, 10, 80, 180]

Reference System

Spatial Resolution

0.01 dd

Service Information

Associations

Downloads and Links

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Source Information



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