Analysis of MODIS-Aqua imagery to determine phytoplankton phenology in the Strait of Georgia, Canada
Accurate chlorophyll-a concentration timeseries was created for the Strait of Georgia (SoG), Canada, using an improved atmospheric correction scheme and workflow for the Moderate Resolution Imaging Spectroradiometer AQUA (MODIS) satellite instrument. Useful Chla dynamics and spring bloom phenology i...
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ftwestwashington:oai:cedar.wwu.edu:ssec-1799 2023-05-15T13:06:58+02:00 Analysis of MODIS-Aqua imagery to determine phytoplankton phenology in the Strait of Georgia, Canada Carswell, Tyson K, MSc Costa, Maycira Gower, Jim, Dr. 2016-01-01T08:00:00Z https://cedar.wwu.edu/ssec/2016ssec/species_food_webs/16 English eng Western CEDAR https://cedar.wwu.edu/ssec/2016ssec/species_food_webs/16 This resource is displayed for educational purposes only and may be subject to U.S. and international copyright laws. For more information about rights or obtaining copies of this resource, please contact University Archives, Heritage Resources, Western Libraries, Western Washington University, Bellingham, WA 98225-9103, USA (360-650-7534; heritage.resources@wwu.edu) and refer to the collection name and identifier. Any materials cited must be attributed to the Salish Sea Ecosystem Conference Records, University Archives, Heritage Resources, Western Libraries, Western Washington University. Salish Sea Ecosystem Conference Life Sciences Marine Biology Natural Resources and Conservation text 2016 ftwestwashington 2022-09-14T05:59:10Z Accurate chlorophyll-a concentration timeseries was created for the Strait of Georgia (SoG), Canada, using an improved atmospheric correction scheme and workflow for the Moderate Resolution Imaging Spectroradiometer AQUA (MODIS) satellite instrument. Useful Chla dynamics and spring bloom phenology in the SoG were derived. In situ radiometric samples were acquired via Aerosol Robotic Network (AERONET), and hyperspectral data collected from a Hyperspectral Surface Acquisition System (HyperSAS) to assess three potential atmospheric correction schemes. Water property samples including total suspended material (TSM), chromophoric dissolved organic matter (CDOM), and chlorophyll concentrations (chla) were collected to further assess atmospheric corrections and the applied ‘Ocean Color 3 Modis’ (OC3M) standard chlorophyll algorithm. Regression, Absolute percentage difference (APD), Relative Percentage difference (RPD), and Root mean squared error (RMSE) analysis revealed the most appropriate method to be the ‘Management Unit of the North Seas Mathematical Models’ (MUMM) using the shortwave infrared spectrum (SWIR) to determine NIR-derived aerosol model. This method was used to construct a time series (July 2002-June 2014) of daily chlorophyll maps for all available imagery. Files were spatially binned into 8-day composites for the North and Central SoG where a modified threshold-based definition was used to determine the start of the spring phytoplankton bloom period, as well as timing of maxima and duration of the largest spring bloom. Results indicate Central SoG start dates range from late February to late April, with an average start date at the last week of March. These results compare favorably to Hindcast predictive modelling of bloom start dates. The Northern SoG bloom phenology starts on average 9 days earlier, and experiences lower chlorophyll-a magnitudes. Hierarchical clustering with correlation similarity of spring seasons indicate 2008 and 2007 were anomalous, while 2009 and 2012 were the most correlated ... Text Aerosol Robotic Network Western Washington University: CEDAR (Contributing to Education through Digital Access to Research) Canada Sog ENVELOPE(-20.972,-20.972,63.993,63.993) |
institution |
Open Polar |
collection |
Western Washington University: CEDAR (Contributing to Education through Digital Access to Research) |
op_collection_id |
ftwestwashington |
language |
English |
topic |
Life Sciences Marine Biology Natural Resources and Conservation |
spellingShingle |
Life Sciences Marine Biology Natural Resources and Conservation Carswell, Tyson K, MSc Costa, Maycira Gower, Jim, Dr. Analysis of MODIS-Aqua imagery to determine phytoplankton phenology in the Strait of Georgia, Canada |
topic_facet |
Life Sciences Marine Biology Natural Resources and Conservation |
description |
Accurate chlorophyll-a concentration timeseries was created for the Strait of Georgia (SoG), Canada, using an improved atmospheric correction scheme and workflow for the Moderate Resolution Imaging Spectroradiometer AQUA (MODIS) satellite instrument. Useful Chla dynamics and spring bloom phenology in the SoG were derived. In situ radiometric samples were acquired via Aerosol Robotic Network (AERONET), and hyperspectral data collected from a Hyperspectral Surface Acquisition System (HyperSAS) to assess three potential atmospheric correction schemes. Water property samples including total suspended material (TSM), chromophoric dissolved organic matter (CDOM), and chlorophyll concentrations (chla) were collected to further assess atmospheric corrections and the applied ‘Ocean Color 3 Modis’ (OC3M) standard chlorophyll algorithm. Regression, Absolute percentage difference (APD), Relative Percentage difference (RPD), and Root mean squared error (RMSE) analysis revealed the most appropriate method to be the ‘Management Unit of the North Seas Mathematical Models’ (MUMM) using the shortwave infrared spectrum (SWIR) to determine NIR-derived aerosol model. This method was used to construct a time series (July 2002-June 2014) of daily chlorophyll maps for all available imagery. Files were spatially binned into 8-day composites for the North and Central SoG where a modified threshold-based definition was used to determine the start of the spring phytoplankton bloom period, as well as timing of maxima and duration of the largest spring bloom. Results indicate Central SoG start dates range from late February to late April, with an average start date at the last week of March. These results compare favorably to Hindcast predictive modelling of bloom start dates. The Northern SoG bloom phenology starts on average 9 days earlier, and experiences lower chlorophyll-a magnitudes. Hierarchical clustering with correlation similarity of spring seasons indicate 2008 and 2007 were anomalous, while 2009 and 2012 were the most correlated ... |
format |
Text |
author |
Carswell, Tyson K, MSc Costa, Maycira Gower, Jim, Dr. |
author_facet |
Carswell, Tyson K, MSc Costa, Maycira Gower, Jim, Dr. |
author_sort |
Carswell, Tyson K, MSc |
title |
Analysis of MODIS-Aqua imagery to determine phytoplankton phenology in the Strait of Georgia, Canada |
title_short |
Analysis of MODIS-Aqua imagery to determine phytoplankton phenology in the Strait of Georgia, Canada |
title_full |
Analysis of MODIS-Aqua imagery to determine phytoplankton phenology in the Strait of Georgia, Canada |
title_fullStr |
Analysis of MODIS-Aqua imagery to determine phytoplankton phenology in the Strait of Georgia, Canada |
title_full_unstemmed |
Analysis of MODIS-Aqua imagery to determine phytoplankton phenology in the Strait of Georgia, Canada |
title_sort |
analysis of modis-aqua imagery to determine phytoplankton phenology in the strait of georgia, canada |
publisher |
Western CEDAR |
publishDate |
2016 |
url |
https://cedar.wwu.edu/ssec/2016ssec/species_food_webs/16 |
long_lat |
ENVELOPE(-20.972,-20.972,63.993,63.993) |
geographic |
Canada Sog |
geographic_facet |
Canada Sog |
genre |
Aerosol Robotic Network |
genre_facet |
Aerosol Robotic Network |
op_source |
Salish Sea Ecosystem Conference |
op_relation |
https://cedar.wwu.edu/ssec/2016ssec/species_food_webs/16 |
op_rights |
This resource is displayed for educational purposes only and may be subject to U.S. and international copyright laws. For more information about rights or obtaining copies of this resource, please contact University Archives, Heritage Resources, Western Libraries, Western Washington University, Bellingham, WA 98225-9103, USA (360-650-7534; heritage.resources@wwu.edu) and refer to the collection name and identifier. Any materials cited must be attributed to the Salish Sea Ecosystem Conference Records, University Archives, Heritage Resources, Western Libraries, Western Washington University. |
_version_ |
1766029573181407232 |