Recognizing harmful algal bloom based on remote sensing reflectance band ratio

Mariano Bresciani; Claudia Giardino; Marco Bartoli; Silvia Tavernini; Rossano Bolpagni; Daniele Nizzoli

doi:10.1117/1.3630218

1 January 2011 Recognizing harmful algal bloom based on remote sensing reflectance band ratio

Mariano Bresciani, Claudia Giardino, Marco Bartoli, Silvia Tavernini, Rossano Bolpagni, Daniele Nizzoli

Author Affiliations +

Journal of Applied Remote Sensing, Vol. 5, Issue 1, 053556 (January 2011). https://doi.org/10.1117/1.3630218

Abstract

We present a band ratio algorithm based on remote sensing reflectance (RRS) data to detect an algal bloom composed of cyanobacteria (Planktothrix spp.) and chrysophytes in Lake Idro, a small meso-eutrophic lake situated in the subalpine region (northern Italy). The bloom started around the first week of September 2010 and persisted for about 1 month, with highest mean chlorophyll-a concentrations (17.5 ± 1.6 mgm⁻³) and phytoplankton cellular density (7,250,000 cell·l⁻¹) measured on September 14, 2010. RRS data obtained from in situ measurements were first investigated to select the diagnostic wavelengths (i.e., 560 and 620 nm) of both phycoerythrin (present in the Planktothrix spp.) and other pigments (e.g., fucoxanthin, common to several species of chrysophyte). Testing the algorithm on RRS data derived from atmospherically corrected image data showed the ability of the medium resolution imaging spectrometer (MERIS) to detect the bloom also. The results demonstrate that a combination of in situ and MERIS data is a valuable tool to monitor the extent and duration of phytoplankton blooms.

©(2011) Society of Photo-Optical Instrumentation Engineers (SPIE)

Citation Download Citation

Mariano Bresciani, Claudia Giardino, Marco Bartoli, Silvia Tavernini, Rossano Bolpagni, and Daniele Nizzoli "Recognizing harmful algal bloom based on remote sensing reflectance band ratio," Journal of Applied Remote Sensing 5(1), 053556 (1 January 2011). https://doi.org/10.1117/1.3630218

Published: 1 January 2011

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

;

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE