It is challenging that accurate assessment of chlorophyll-a concentration by remote sensing in coastal waters. Chla
concentration is commonly retrieved by blue-green ratio in open ocean waters. And this method is efficient in open
ocean waters. But this method is confined when applied to coastal or inland waters, because of abundant variable CDOM
and tripton. It is very difficult to retrieve chla of coastal or estuary waters because of overlap of absorption and
backscattering caused by CDOM and tripton. Dall’Olmo et al put forward a semi-analytical retrieval model of chla,
three-band model. The conceptual three-band model has been successfully applied to estimate chla in turbid and
eutrophic waters by tuning the band position in accordance with the spectral properties.The aim of this paper is to testify
the three-band model that could resolve this problem. The three-band model was tuned in accord with optical properties
and the bands were optimized for accurate estimation. Finally, we found a good linear relationship between chlorophyll-a
and three-band model, with the determination coefficient of 0.63 and the RMSE of 2.22μg·L-1. Furthermore, the in situ
spectral data was averaged to the band range of MERIS (band7, band9 and band10) and developed a simulated threeband
model. A good linear relationship could be found between [(B7-1-B9-1)×B10] and chlorophyll-a, with the
determination coefficient of 0.59 and the RMSE of 0.72μg·L-1. The findings demonstrated that the three-band model of
MERIS could be applied to retrieve chlorophyll-a concentration of Yantai coastal waters.
In this paper, the method of monitoring coastal areas affected by thermal discharge of nuclear plant by using remote
sensing techniques was introduced. The proposed approach was demonstrated in Daya Bay nuclear plant based on HJ-B
IRS data. A single channel water temperature inversion algorithm was detailed, considering the satellite zenith angle and
water vapor. Moreover the reference background temperature was obtained using the average environmental temperature
method. In the case study of Daya Bay nuclear plant, the spatial distribution of thermal pollution was analyzed by taking
into account the influence of tidal, wind and so on. According to the findings of this study, the speed and direction of the
ebb tide, is not conducive to the diffusion of thermal discharge of DNNP. The vertically thermal diffusion was limited by
the shallow water depth near the outlet.
A conceptual model containing reflectance in three spectral bands in the red and near infrared ranges of the spectrum can
be used to retrieve vegetation pigment concentration. Based on this model, the bio-optical properties of Chlorophyll-a
(Chl-a), suspended solids, dissolved organic matter and water molecules were analyzed in this paper, by using in-situ
spectra data, optical parameters and water quality parameters in Taihu Lake. Under the band range determined by
spectral feature analysis, the optimal combination of bands (678 nm, 696 nm and 748 nm) was selected through the
iterative method, to compose an optimized band combination in order to build the Chl-a semi-analytical model. Based on
hyper-spectral imager (HSI) data carried on the Environmental 1 (HJ-1) satellite, this model was used successfully to
retrieve the Chl-a concentration in Taihu Lake.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.