Satellite remote sensing of harmful algal blooms: A new multi-algorithm method for detecting the Florida Red Tide (Karenia brevis)

Gustavo A. Carvalho, Peter J Minnett, Lora E. Fleming, Viva F. Banzon, Warner Baringer

Research output: Contribution to journalArticle

41 Citations (Scopus)

Abstract

In a continuing effort to develop suitable methods for the surveillance of harmful algal blooms (HABs) of Karenia brevis using satellite radiometers, a new multi-algorithm method was developed to explore whether improvements in the remote-sensing detection of the Florida Red Tide was possible. A Hybrid Scheme was introduced that sequentially applies the optimized versions of two pre-existing satellite-based algorithms: an Empirical Approach (using water-leaving radiance as a function of chlorophyll concentration) and a Bio-optical Technique (using particulate backscatter along with chlorophyll concentration). The long-term evaluation of the new multi-algorithm method was performed using a multi-year MODIS dataset (2002-2006; during the boreal Summer-Fall periods - July-December) along the Central West Florida Shelf between 25.75°N and 28.25°N. Algorithm validation was done with in situ measurements of the abundances of K. brevis; cell counts ≥1.5×104cellsl-1 defined a detectable HAB. Encouraging statistical results were derived when either or both algorithms correctly flagged known samples. The majority of the valid match-ups were correctly identified (∼80% of both HABs and non-blooming conditions) and few false negatives or false positives were produced (∼20% of each). Additionally, most of the HAB-positive identifications in the satellite data were indeed HAB samples (positive predictive value: ∼70%) and those classified as HAB-negative were almost all non-bloom cases (negative predictive value: ∼86%). These results demonstrate an excellent detection capability, on average ∼10% more accurate than the individual algorithms used separately. Thus, the new Hybrid Scheme could become a powerful tool for environmental monitoring of K. brevis blooms, with valuable consequences including leading to the more rapid and efficient use of ships to make in situ measurements of HABs.

Original languageEnglish
Pages (from-to)440-448
Number of pages9
JournalHarmful Algae
Volume9
Issue number5
DOIs
StatePublished - Jun 1 2010

Fingerprint

red tide
algal blooms
remote sensing
algal bloom
methodology
in situ measurement
chlorophyll
radiometers
method
Karenia brevis
environmental monitoring
moderate resolution imaging spectroradiometer
ships
radiance
radiometer
backscatter
MODIS
satellite data
particulates
sampling

Keywords

  • Algorithm development
  • Central West Florida Shelf (Gulf of Mexico)
  • Detection
  • Florida Red Tide (Karenia brevis)
  • Harmful algal bloom (HAB)
  • Hybrid Scheme
  • Ocean color (MODIS-Aqua)
  • Satellite remote sensing

ASJC Scopus subject areas

  • Aquatic Science
  • Plant Science

Cite this

Satellite remote sensing of harmful algal blooms : A new multi-algorithm method for detecting the Florida Red Tide (Karenia brevis). / Carvalho, Gustavo A.; Minnett, Peter J; Fleming, Lora E.; Banzon, Viva F.; Baringer, Warner.

In: Harmful Algae, Vol. 9, No. 5, 01.06.2010, p. 440-448.

Research output: Contribution to journalArticle

Carvalho, Gustavo A. ; Minnett, Peter J ; Fleming, Lora E. ; Banzon, Viva F. ; Baringer, Warner. / Satellite remote sensing of harmful algal blooms : A new multi-algorithm method for detecting the Florida Red Tide (Karenia brevis). In: Harmful Algae. 2010 ; Vol. 9, No. 5. pp. 440-448.
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