Assessment of Chlorophyll-a Algorithms Considering Different Trophic Statuses and Optimal Bands.

ABSTRACT: Numerous algorithms have been proposed to retrieve chlorophyll-a concentrations in Case 2 waters; however, the retrieval accuracy is far from satisfactory. In this research, seven algorithms are assessed with different band combinations of multispectral and hyperspectral bands using linear (LN), quadratic polynomial (QP) and power (PW) regression approaches, resulting in altogether 43 algorithmic combinations. These algorithms are evaluated by using simulated and measured datasets to understand the strengths and limitations of these algorithms. Two simulated datasets comprising 500,000 reflectance spectra each, both based on wide ranges of inherent optical properties (IOPs), are generated for the calibration and validation stages. Results reveal that the regression approach (i.e., LN, QP,

SUBMITTER: Salem SI 

PROVIDER: S-EPMC5579528 | biostudies-literature | 2017 Jul

REPOSITORIES: biostudies-literature