MODIS Derived Chlorophyll a dataset: Seasonal Variations

Maintenance and Update Frequency: asNeeded Statement: 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 (G...

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Other Authors: Commonwealth of Australia (Geoscience Australia) (hasAssociationWith), EGD (resourceProvider), Huang, Z. (author), Huang, Z. (pointOfContact), Manager Client Services (distributor), Manager Client Services (resourceProvider), Manager Client Services (author), Manager Client Services (pointOfContact)
Format: Dataset
Language:unknown
Published: Geoscience Australia
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Online Access:https://researchdata.edu.au/modis-derived-chlorophyll-seasonal-variations/1305226
https://pid.geoscience.gov.au/dataset/ga/115263
https://doi.org/10.4225/25/5a4d6fe1b8fff
Description
Summary:Maintenance and Update Frequency: asNeeded Statement: 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 seasonal standard deviations were then calculated from the monthly images of the corresponding seasons between July 2002 and December 2017. For example, the winter standard deviation was obtained from all June, July and August images. The spring standard deviation was obtained from all September, October and November images. The summer standard deviation was obtained from all December, January and February images. The autumn standard deviation 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. The dataset measures the long-term seasonal variations of the chlorophyll a concentrations 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 December 2017 are used to calculate the standard deviations 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 unit of the dataset is mg/m3. This research is supported by the National Environmental Science Program (NESP) Marine Biodiversity Hub through Project D1.