Detection of Coccolithophore Blooms in Ocean Color Satellite Imagery: a Generalized Approach for Use with Multiple Sensors
A generalized coccolithophore bloom classifier has been developed for use with ocean color imagery. The bloom classifier was developed using extracted satellite reflectance data from SeaWiFS images screened by the default bloom detection mask. In the current application, we extend the optical water...
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ftnasantrs:oai:casi.ntrs.nasa.gov:20140006589 2023-05-15T17:34:26+02:00 Detection of Coccolithophore Blooms in Ocean Color Satellite Imagery: a Generalized Approach for Use with Multiple Sensors Moore, Timothy Dowell, Mark Franz, Bryan A. Unclassified, Unlimited, Publicly available February 15, 2012 application/pdf http://hdl.handle.net/2060/20140006589 unknown Document ID: 20140006589 http://hdl.handle.net/2060/20140006589 Copyright, Distribution as joint owner in the copyright CASI Oceanography Earth Resources and Remote Sensing GSFC-E-DAA-TN9161 Remote Sensing of Environments (ISSN 0034-4257); 117; 249-263 2012 ftnasantrs 2019-08-31T23:00:03Z A generalized coccolithophore bloom classifier has been developed for use with ocean color imagery. The bloom classifier was developed using extracted satellite reflectance data from SeaWiFS images screened by the default bloom detection mask. In the current application, we extend the optical water type (OWT) classification scheme by adding a new coccolithophore bloom class formed from these extracted reflectances. Based on an in situ coccolithophore data set from the North Atlantic, the detection levels with the new scheme were between 1,500 and 1,800 coccolithophore cellsmL and 43,000 and 78,000 lithsmL. The detected bloom area using the OWT method was an average of 1.75 times greater than the default bloom detector based on a collection of SeaWiFS 1 km imagery. The versatility of the scheme is shown with SeaWiFS, MODIS Aqua, CZCS and MERIS imagery at the 1 km scale. The OWT scheme was applied to the daily global SeaWiFS imagery mission data set (years 19972010). Based on our results, average annual coccolithophore bloom area was more than two times greater in the southern hemisphere compared to the northern hemi- sphere with values of 2.00 106 km2 and 0.75 106 km2, respectively. The new algorithm detects larger bloom areas in the Southern Ocean compared to the default algorithm, and our revised global annual average of 2.75106 km2 is dominated by contributions from the Southern Ocean. Other/Unknown Material North Atlantic Southern Ocean NASA Technical Reports Server (NTRS) Southern Ocean |
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Open Polar |
collection |
NASA Technical Reports Server (NTRS) |
op_collection_id |
ftnasantrs |
language |
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topic |
Oceanography Earth Resources and Remote Sensing |
spellingShingle |
Oceanography Earth Resources and Remote Sensing Moore, Timothy Dowell, Mark Franz, Bryan A. Detection of Coccolithophore Blooms in Ocean Color Satellite Imagery: a Generalized Approach for Use with Multiple Sensors |
topic_facet |
Oceanography Earth Resources and Remote Sensing |
description |
A generalized coccolithophore bloom classifier has been developed for use with ocean color imagery. The bloom classifier was developed using extracted satellite reflectance data from SeaWiFS images screened by the default bloom detection mask. In the current application, we extend the optical water type (OWT) classification scheme by adding a new coccolithophore bloom class formed from these extracted reflectances. Based on an in situ coccolithophore data set from the North Atlantic, the detection levels with the new scheme were between 1,500 and 1,800 coccolithophore cellsmL and 43,000 and 78,000 lithsmL. The detected bloom area using the OWT method was an average of 1.75 times greater than the default bloom detector based on a collection of SeaWiFS 1 km imagery. The versatility of the scheme is shown with SeaWiFS, MODIS Aqua, CZCS and MERIS imagery at the 1 km scale. The OWT scheme was applied to the daily global SeaWiFS imagery mission data set (years 19972010). Based on our results, average annual coccolithophore bloom area was more than two times greater in the southern hemisphere compared to the northern hemi- sphere with values of 2.00 106 km2 and 0.75 106 km2, respectively. The new algorithm detects larger bloom areas in the Southern Ocean compared to the default algorithm, and our revised global annual average of 2.75106 km2 is dominated by contributions from the Southern Ocean. |
format |
Other/Unknown Material |
author |
Moore, Timothy Dowell, Mark Franz, Bryan A. |
author_facet |
Moore, Timothy Dowell, Mark Franz, Bryan A. |
author_sort |
Moore, Timothy |
title |
Detection of Coccolithophore Blooms in Ocean Color Satellite Imagery: a Generalized Approach for Use with Multiple Sensors |
title_short |
Detection of Coccolithophore Blooms in Ocean Color Satellite Imagery: a Generalized Approach for Use with Multiple Sensors |
title_full |
Detection of Coccolithophore Blooms in Ocean Color Satellite Imagery: a Generalized Approach for Use with Multiple Sensors |
title_fullStr |
Detection of Coccolithophore Blooms in Ocean Color Satellite Imagery: a Generalized Approach for Use with Multiple Sensors |
title_full_unstemmed |
Detection of Coccolithophore Blooms in Ocean Color Satellite Imagery: a Generalized Approach for Use with Multiple Sensors |
title_sort |
detection of coccolithophore blooms in ocean color satellite imagery: a generalized approach for use with multiple sensors |
publishDate |
2012 |
url |
http://hdl.handle.net/2060/20140006589 |
op_coverage |
Unclassified, Unlimited, Publicly available |
geographic |
Southern Ocean |
geographic_facet |
Southern Ocean |
genre |
North Atlantic Southern Ocean |
genre_facet |
North Atlantic Southern Ocean |
op_source |
CASI |
op_relation |
Document ID: 20140006589 http://hdl.handle.net/2060/20140006589 |
op_rights |
Copyright, Distribution as joint owner in the copyright |
_version_ |
1766133267593953280 |