摘要：We present here the results of chlorophyll-a (chl-a) concentration estimation using the red
and near infrared (NIR) spectral bands of a Hyperspectral Imager for the Coastal Ocean
(HICO) in productive turbid waters of the Azov Sea, Russia. During the data
collection campaign in the summer of 2010 in Taganrog Bay and the Azov Sea, water
samples were collected and concentrations of chl-a were measured analytically. The
NIR–red models were tuned to optimize the spectral band selections and chl-a
concentrations were retrieved from HICO data. The NIR–red three-band model
with HICO-retrieved reflectances at wavelengths 684, 700, and 720 nm explained
more than 85% of chl-a concentration variation in the range from 19.67 to 93.14 mg m − 3 and was able to estimate chl-a with root mean square error below 10 mg m − 3. The results indicate the high potential of HICO data to estimate chl-a concentration in
turbid productive (Case II) waters in real-time, which will be of immense value to
scientists, natural resource managers, and decision makers involved in managing the inland
and coastal aquatic ecosystems.
