Journal
GISCIENCE & REMOTE SENSING
Volume 51, Issue 2, Pages 175-198Publisher
TAYLOR & FRANCIS LTD
DOI: 10.1080/15481603.2014.895581
Keywords
HyperSAS; HICO; chlorophyll-a; remote sensing reflectance; NDCI
Categories
Funding
- US Environmental Protection Agency Office of Research and Development
- EPA Pathfinder Innovation Project
Ask authors/readers for more resources
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.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available