4.7 Article

Performance evaluation of normalized difference chlorophyll index in northern Gulf of Mexico estuaries using the Hyperspectral Imager for the Coastal Ocean

Journal

GISCIENCE & REMOTE SENSING
Volume 51, Issue 2, Pages 175-198

Publisher

TAYLOR & FRANCIS LTD
DOI: 10.1080/15481603.2014.895581

Keywords

HyperSAS; HICO; chlorophyll-a; remote sensing reflectance; NDCI

Funding

  1. US Environmental Protection Agency Office of Research and Development
  2. EPA Pathfinder Innovation Project

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The Hyperspectral Imager for the Coastal Ocean (HICO) was used to derive chlorophyll-a (chl-a) based on the normalized difference chlorophyll index (NDCI) in two Gulf of Mexico coastal estuaries. Chl-a data were acquired from discrete in situ water sample analysis and above-water hyperspectral surface acquisition system (HyperSAS) remote sensing reflectance in Pensacola Bay (PB) and Choctawhatchee Bay (CB). NDCI algorithm calibrations and validations were completed on HICO data. Linear and best-fit (polynomial) calibrations performed strongly with R-2 of 0.90 and 0.96, respectively. The best validation of NDCI resulted with an R-2 of 0.74 and root-mean-square error (RMSE) of 1.64 mu g/L. A strong spatial correspondence was observed between NDCI and chl-a, with higher NDCI associated with higher chl-a and these areas were primarily located in the northern PB and eastern CB at the river mouths. NDCI could be effectively used as a qualitative chl-a monitoring tool with a reduced need for site-specific calibration.

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