MODIS derived Chlorophyll a datasets

Maintenance and Update Frequency: notPlanned Statement: The Chlorophyll a datasets were derived products of MODIS (Aqua) images. SeaDAS (version 6.1) was used to process the MODIS data from raw to L3 products. SeaDAS provides several algorithms for Chlorophyll products. The algorithm used here is th...

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Bibliographic Details
Other Authors: Commonwealth of Australia (Geoscience Australia) (distributor), Commonwealth of Australia (Geoscience Australia) (pointOfContact), Commonwealth of Australia (Geoscience Australia) (owner), EGD (hasAssociationWith), Geoscience Australia (publisher), Huang, Z. (author), Manager Client Services (custodian), U56061 (custodian)
Format: Dataset
Language:unknown
Published: Australian Ocean Data Network
Subjects:
Online Access:https://researchdata.edu.au/modis-derived-chlorophyll-datasets/682965
https://pid.geoscience.gov.au/dataset/ga/77004
Description
Summary:Maintenance and Update Frequency: notPlanned Statement: The Chlorophyll a datasets were derived products of MODIS (Aqua) images. SeaDAS (version 6.1) was used to process the MODIS data from raw to L3 products. SeaDAS provides several algorithms for Chlorophyll products. The algorithm used here is the standard algorithm (OC3) (O'Reilly et al., 1998). 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. After completing the above steps for one-month-worth-of 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 four 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. O'Reilly, J.E., Maritorena, S., Mitchell, B.G., Siegel, D.A., Carder, K.L., Garver, S.A., et al., 1998. Ocean color algorithms for SeaWiFS, Journal of Geophysical Research, 103, 24937-24953. The datasets measure the Chlorophyll a 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 Chlorophyll a layers between 2009 and 2011. The unit of the datasets is mg/m3.