Next Article in Journal
How Reliable is the MODIS Land Cover Product for Crop Mapping Sub-Saharan Agricultural Landscapes?
Next Article in Special Issue
An EOF-Based Algorithm to Estimate Chlorophyll a Concentrations in Taihu Lake from MODIS Land-Band Measurements: Implications for Near Real-Time Applications and Forecasting Models
Previous Article in Journal
Plant Species Discrimination in a Tropical Wetland Using In Situ Hyperspectral Data
Previous Article in Special Issue
ESA-MERIS 10-Year Mission Reveals Contrasting Phytoplankton Bloom Dynamics in Two Tropical Regions of Northern Australia
Open AccessArticle

Evaluation of Satellite Retrievals of Ocean Chlorophyll-a in the California Current

Scripps Institution of Oceanography, University of California San Diego, La Jolla, CA 95064, USA
Ocean Sciences Department, University of California Santa Cruz, Santa Cruz, CA 95064, USA
Facultad de Ciencias del Mar, Universidad Autónoma de Sinaloa, Mazatlán, Sinaloa, Mexico
Author to whom correspondence should be addressed.
Remote Sens. 2014, 6(9), 8524-8540;
Received: 14 July 2014 / Revised: 28 August 2014 / Accepted: 3 September 2014 / Published: 11 September 2014
(This article belongs to the Special Issue Remote Sensing of Phytoplankton)
Retrievals of ocean surface chlorophyll-a concentration (Chla) by multiple ocean color satellite sensors (SeaWiFS, MODIS-Terra, MODIS-Aqua, MERIS, VIIRS) using standard algorithms were evaluated in the California Current using a large archive of in situ measurements. Over the full range of in situ Chla, all sensors produced a coefficient of determination (R2) between 0.79 and 0.88 and a median absolute percent error (MdAPE) between 21% and 27%. However, at in situ Chla > 1 mg m3, only products from MERIS (both the ESA produced algal_1 and NASA produced chlor_a) maintained reasonable accuracy (R2 from 0.74 to 0.52 and MdAPE from 23% to 31%, respectively), while the other sensors had R2 below 0.5 and MdAPE higher than 36%. We show that the low accuracy at medium and high Chla is caused by the poor retrieval of remote sensing reflectance. View Full-Text
Keywords: ocean color; phytoplankton; chlorophyll; California Current; remote sensing ocean color; phytoplankton; chlorophyll; California Current; remote sensing
Show Figures

Graphical abstract

MDPI and ACS Style

Kahru, M.; Kudela, R.M.; Anderson, C.R.; Manzano-Sarabia, M.; Mitchell, B.G. Evaluation of Satellite Retrievals of Ocean Chlorophyll-a in the California Current. Remote Sens. 2014, 6, 8524-8540.

Show more citation formats Show less citations formats

Article Access Map by Country/Region

Only visits after 24 November 2015 are recorded.
Search more from Scilit
Back to TopTop