Authors / CoAuthors
Huang, Z.
Abstract
This GIS data layer shows the frequency of coastal upwelling along the south-eastern coast of Australia. The higher data values indicate areas of persistent and semi-persistent upwelling; while, the medium data values indicate areas of seasonal upwelling. The data was generated using 14 years of monthly MODIS SST data. Please refer to this publication: "Huang, Z., & Wang, X.H. (2019). Mapping the spatial and temporal variability of the upwelling systems of the Australian south-eastern coast using 14-year of MODIS data. Remote Sensing of Environment, 227, 90-109" (https://doi.org/10.1016/j.rse.2019.04.002) for details of the MODIS data and the upwelling mapping method.
Product Type
dataset
eCat Id
140087
Contact for the resource
Point of contact
Cnr Jerrabomberra Ave and Hindmarsh Dr GPO Box 378
Canberra
ACT
2601
Australia
Point of contact
- Contact instructions
- Place and Communities
Resource provider
Digital Object Identifier
Keywords
- theme.ANZRC Fields of Research.rdf
-
- EARTH SCIENCESPhotogrammetry and Remote SensingOCEANOGRAPHY
- ( Feature type )
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- Upwelling
- ( Platform )
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- MODIS
- ( Place )
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- South-east Australia
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- Published_External
Publication Date
2023-11-23T05:33:09
Creation Date
Security Constraints
Legal Constraints
Status
completed
Purpose
This GIS data layer shows the frequency of coastal upwelling along the south-eastern coast of Australia.
Maintenance Information
notPlanned
Topic Category
geoscientificInformation
Series Information
Lineage
The data was generated using 14 years of monthly MODIS SST data. The followings are the key steps: 1. Monthly composited MODIS SST data were generated from 14 years (July 2002 to December 2016) daily MODIS SST images obtained from the Integrated Marine Observing System (IMOS; http://imos.org.au/). 2. The upwelling areas in the 126 of these monthly SST data for the months between September and May (inclusive) were mapped. 3. The 126 upwelling maps were combined to calculate the count and then the frequency of the upwelling at each cell location (this data layer). 4. The frequency data was then classified into five categories: a. <10% unlikely; b. 10-30% occasional/semi-seasonal; c. 30-50% seasonal; d. 50-70% semi-persistent; e. >70% persistent.
Parent Information
Extents
[-44.00, -28.00, 132.50, 154.00]
Reference System
WGS84 (CRS:84)
Spatial Resolution
0.01 dd
Service Information
Associations
Source Information