MODIS Derived Primary Productivity: Overall Hotspots
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 mo...
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Online Access: | https://researchdata.edu.au/modis-derived-primary-overall-hotspots/1305217 http://pid.geoscience.gov.au/dataset/ga/115245 https://doi.org/10.4225/25/5a4d5951881cb https://d28rz98at9flks.cloudfront.net/115245/115245.zip |
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ftands:oai:ands.org.au::1305217 2023-05-15T18:26:02+02:00 MODIS Derived Primary Productivity: Overall Hotspots Huang, Z. (pointOfContact) Commonwealth of Australia (Geoscience Australia) (hasAssociationWith) Manager Client Services (pointOfContact) Huang, Z. (author) Manager Client Services (author) EGD (resourceProvider) Manager Client Services (resourceProvider) Manager Client Services (distributor) Spatial: northlimit=10; southlimit=-60; westlimit=80; eastLimit=180 Temporal: From 2002-07-01 to 2016-12-31 https://researchdata.edu.au/modis-derived-primary-overall-hotspots/1305217 http://pid.geoscience.gov.au/dataset/ga/115245 https://doi.org/10.4225/25/5a4d5951881cb https://d28rz98at9flks.cloudfront.net/115245/115245.zip unknown Geoscience Australia https://researchdata.edu.au/modis-derived-primary-overall-hotspots/1305217 978bd264-a795-4959-afc5-07021e238017 http://pid.geoscience.gov.au/dataset/ga/115245 doi:10.4225/25/5a4d5951881cb https://d28rz98at9flks.cloudfront.net/115245/115245.zip Commonwealth of Australia (Geoscience Australia) EGD oceans primary productivity MODIS Earth Sciences National Environmental Science Program Marine Biodiversity Hub Published_External dataset ftands https://doi.org/10.4225/25/5a4d5951881cb 2020-12-14T23:43:43Z 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. 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. This research is supported by the National Environmental Science Program (NESP) Marine Biodiversity Hub through Project D1. Dataset Southern Ocean Research Data Australia (Australian National Data Service - ANDS) Southern Ocean ENVELOPE(80,180,10,-60) |
institution |
Open Polar |
collection |
Research Data Australia (Australian National Data Service - ANDS) |
op_collection_id |
ftands |
language |
unknown |
topic |
oceans primary productivity MODIS Earth Sciences National Environmental Science Program Marine Biodiversity Hub Published_External |
spellingShingle |
oceans primary productivity MODIS Earth Sciences National Environmental Science Program Marine Biodiversity Hub Published_External MODIS Derived Primary Productivity: Overall Hotspots |
topic_facet |
oceans primary productivity MODIS Earth Sciences National Environmental Science Program Marine Biodiversity Hub Published_External |
description |
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. 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. This research is supported by the National Environmental Science Program (NESP) Marine Biodiversity Hub through Project D1. |
author2 |
Huang, Z. (pointOfContact) Commonwealth of Australia (Geoscience Australia) (hasAssociationWith) Manager Client Services (pointOfContact) Huang, Z. (author) Manager Client Services (author) EGD (resourceProvider) Manager Client Services (resourceProvider) Manager Client Services (distributor) |
format |
Dataset |
title |
MODIS Derived Primary Productivity: Overall Hotspots |
title_short |
MODIS Derived Primary Productivity: Overall Hotspots |
title_full |
MODIS Derived Primary Productivity: Overall Hotspots |
title_fullStr |
MODIS Derived Primary Productivity: Overall Hotspots |
title_full_unstemmed |
MODIS Derived Primary Productivity: Overall Hotspots |
title_sort |
modis derived primary productivity: overall hotspots |
publisher |
Geoscience Australia |
url |
https://researchdata.edu.au/modis-derived-primary-overall-hotspots/1305217 http://pid.geoscience.gov.au/dataset/ga/115245 https://doi.org/10.4225/25/5a4d5951881cb https://d28rz98at9flks.cloudfront.net/115245/115245.zip |
op_coverage |
Spatial: northlimit=10; southlimit=-60; westlimit=80; eastLimit=180 Temporal: From 2002-07-01 to 2016-12-31 |
long_lat |
ENVELOPE(80,180,10,-60) |
geographic |
Southern Ocean |
geographic_facet |
Southern Ocean |
genre |
Southern Ocean |
genre_facet |
Southern Ocean |
op_source |
Commonwealth of Australia (Geoscience Australia) EGD |
op_relation |
https://researchdata.edu.au/modis-derived-primary-overall-hotspots/1305217 978bd264-a795-4959-afc5-07021e238017 http://pid.geoscience.gov.au/dataset/ga/115245 doi:10.4225/25/5a4d5951881cb https://d28rz98at9flks.cloudfront.net/115245/115245.zip |
op_doi |
https://doi.org/10.4225/25/5a4d5951881cb |
_version_ |
1766207851345215488 |