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Chlorophyll-a estimation around the Antarctica Peninsula using satellite algorithms: hints from field water leaving reflectance


Zeng, C and Xu, H and Fischer, AM, Chlorophyll-a estimation around the Antarctica Peninsula using satellite algorithms: hints from field water leaving reflectance, Sensors, 16, (12) Article 2075. ISSN 1424-8220 (2016) [Refereed Article]


Copyright Statement

Copyright 2016 The Authors. Licensed under Creative Commons Attribution 4.0 International (CC BY 4.0)

DOI: doi:10.3390/s16122075


Ocean color remote sensing significantly contributes to our understanding of phytoplankton distribution and abundance and primary productivity in the Southern Ocean (SO). However, the current SO in situ optical database is still insufficient and unevenly distributed. This limits the ability to produce robust and accurate measurements of satellite-based chlorophyll. Based on data collected on cruises around the Antarctica Peninsula (AP) on January 2014 and 2016, this research intends to enhance our knowledge of SO water and atmospheric optical characteristics and address satellite algorithm deficiency of ocean color products. We collected high resolution in situ water leaving reflectance (1 nm band resolution), simultaneous in situ chlorophyll-a concentrations and satellite (MODIS and VIIRS) water leaving reflectance. Field samples show that clouds have a great impact on the visible green bands and are difficult to detect because NASA protocols apply the NIR band as a cloud contamination threshold. When compared to global case I water, water around the AP has lower water leaving reflectance and a narrower blue-green band ratio, which explains chlorophyll-a underestimation in high chlorophyll-a regions and overestimation in low chlorophyll-a regions. VIIRS shows higher spatial coverage and detection accuracy than MODIS. After coefficient improvement, VIIRS is able to predict chlorophyll a with 53% accuracy.

Item Details

Item Type:Refereed Article
Keywords:water leaving reflectance, skylight downwelling radiance, chlorophyll-a estimation, MODIS, VIIRS
Research Division:Engineering
Research Group:Geomatic engineering
Research Field:Photogrammetry and remote sensing
Objective Division:Environmental Management
Objective Group:Management of Antarctic and Southern Ocean environments
Objective Field:Antarctic and Southern Ocean oceanic processes
UTAS Author:Fischer, AM (Dr Andy Fischer)
ID Code:114110
Year Published:2016
Web of Science® Times Cited:13
Deposited By:Ecology and Biodiversity
Deposited On:2017-02-07
Last Modified:2022-08-24
Downloads:131 View Download Statistics

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