A Novel Ocean Color Index to Detect Floating Algae in the Global Oceans
Various types of floating algae have been reported in open oceans and coastal waters, yet accurate and timely detection of these relatively small surface features using traditional satellite data and algorithms has been difficult or even impossible due to lack of spatial resolution, coverage, revisi...
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2009
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ftunisfloridatam:oai:digitalcommons.usf.edu:msc_facpub-3032 2023-05-15T17:35:41+02:00 A Novel Ocean Color Index to Detect Floating Algae in the Global Oceans Hu, Chuanmin 2009-10-01T07:00:00Z https://digitalcommons.usf.edu/msc_facpub/1906 https://doi.org/10.1016/j.rse.2009.05.012 unknown Digital Commons @ University of South Florida https://digitalcommons.usf.edu/msc_facpub/1906 https://doi.org/10.1016/j.rse.2009.05.012 Marine Science Faculty Publications Floating Algae Index (FAI) NDVI EVI Algal bloom Enteromorpha prolifera Sargassum spp Porphyra yezoensis Atmospheric correction Remote sensing Ocean color Climate data record Life Sciences article 2009 ftunisfloridatam https://doi.org/10.1016/j.rse.2009.05.012 2022-01-20T18:39:31Z Various types of floating algae have been reported in open oceans and coastal waters, yet accurate and timely detection of these relatively small surface features using traditional satellite data and algorithms has been difficult or even impossible due to lack of spatial resolution, coverage, revisit frequency, or due to inherent algorithm limitations. Here, a simple ocean color index, namely the Floating Algae Index (FAI), is developed and used to detect floating algae in open ocean environments using the medium-resolution (250- and 500-m) data from operational MODIS (Moderate Resolution Imaging Spectroradiometer) instruments. FAI is defined as the difference between reflectance at 859 nm (vegetation “red edge”) and a linear baseline between the red band (645 nm) and short-wave infrared band (1240 or 1640 nm). Through data comparison and model simulations, FAI has shown advantages over the traditional NDVI (Normalized Difference Vegetation Index) or EVI (Enhanced Vegetation Index) because FAI is less sensitive to changes in environmental and observing conditions (aerosol type and thickness, solar/viewing geometry, and sun glint) and can “see” through thin clouds. The baseline subtraction method provides a simple yet effective means for atmospheric correction, through which floating algae can be easily recognized and delineated in various ocean waters, including the North Atlantic Ocean, Gulf of Mexico, Yellow Sea, and East China Sea. Because similar spectral bands are available on many existing and planned satellite sensors such as Landsat TM/ETM+ and VIIRS (Visible Infrared Imager/Radiometer Suite), the FAI concept is extendable to establish a long-term record of these ecologically important ocean plants. Article in Journal/Newspaper North Atlantic Digital Commons University of South Florida (USF) Remote Sensing of Environment 113 10 2118 2129 |
institution |
Open Polar |
collection |
Digital Commons University of South Florida (USF) |
op_collection_id |
ftunisfloridatam |
language |
unknown |
topic |
Floating Algae Index (FAI) NDVI EVI Algal bloom Enteromorpha prolifera Sargassum spp Porphyra yezoensis Atmospheric correction Remote sensing Ocean color Climate data record Life Sciences |
spellingShingle |
Floating Algae Index (FAI) NDVI EVI Algal bloom Enteromorpha prolifera Sargassum spp Porphyra yezoensis Atmospheric correction Remote sensing Ocean color Climate data record Life Sciences Hu, Chuanmin A Novel Ocean Color Index to Detect Floating Algae in the Global Oceans |
topic_facet |
Floating Algae Index (FAI) NDVI EVI Algal bloom Enteromorpha prolifera Sargassum spp Porphyra yezoensis Atmospheric correction Remote sensing Ocean color Climate data record Life Sciences |
description |
Various types of floating algae have been reported in open oceans and coastal waters, yet accurate and timely detection of these relatively small surface features using traditional satellite data and algorithms has been difficult or even impossible due to lack of spatial resolution, coverage, revisit frequency, or due to inherent algorithm limitations. Here, a simple ocean color index, namely the Floating Algae Index (FAI), is developed and used to detect floating algae in open ocean environments using the medium-resolution (250- and 500-m) data from operational MODIS (Moderate Resolution Imaging Spectroradiometer) instruments. FAI is defined as the difference between reflectance at 859 nm (vegetation “red edge”) and a linear baseline between the red band (645 nm) and short-wave infrared band (1240 or 1640 nm). Through data comparison and model simulations, FAI has shown advantages over the traditional NDVI (Normalized Difference Vegetation Index) or EVI (Enhanced Vegetation Index) because FAI is less sensitive to changes in environmental and observing conditions (aerosol type and thickness, solar/viewing geometry, and sun glint) and can “see” through thin clouds. The baseline subtraction method provides a simple yet effective means for atmospheric correction, through which floating algae can be easily recognized and delineated in various ocean waters, including the North Atlantic Ocean, Gulf of Mexico, Yellow Sea, and East China Sea. Because similar spectral bands are available on many existing and planned satellite sensors such as Landsat TM/ETM+ and VIIRS (Visible Infrared Imager/Radiometer Suite), the FAI concept is extendable to establish a long-term record of these ecologically important ocean plants. |
format |
Article in Journal/Newspaper |
author |
Hu, Chuanmin |
author_facet |
Hu, Chuanmin |
author_sort |
Hu, Chuanmin |
title |
A Novel Ocean Color Index to Detect Floating Algae in the Global Oceans |
title_short |
A Novel Ocean Color Index to Detect Floating Algae in the Global Oceans |
title_full |
A Novel Ocean Color Index to Detect Floating Algae in the Global Oceans |
title_fullStr |
A Novel Ocean Color Index to Detect Floating Algae in the Global Oceans |
title_full_unstemmed |
A Novel Ocean Color Index to Detect Floating Algae in the Global Oceans |
title_sort |
novel ocean color index to detect floating algae in the global oceans |
publisher |
Digital Commons @ University of South Florida |
publishDate |
2009 |
url |
https://digitalcommons.usf.edu/msc_facpub/1906 https://doi.org/10.1016/j.rse.2009.05.012 |
genre |
North Atlantic |
genre_facet |
North Atlantic |
op_source |
Marine Science Faculty Publications |
op_relation |
https://digitalcommons.usf.edu/msc_facpub/1906 https://doi.org/10.1016/j.rse.2009.05.012 |
op_doi |
https://doi.org/10.1016/j.rse.2009.05.012 |
container_title |
Remote Sensing of Environment |
container_volume |
113 |
container_issue |
10 |
container_start_page |
2118 |
op_container_end_page |
2129 |
_version_ |
1766134916487053312 |