Abstract
The Chlorophyll-a(Chl-a) concentrations in water are of great importance to the monitoring of water quality and ecosystem balance.Remote sensing offers a convenient and systematical tool for the observations of water at a long time scale.In this paper,we present a study of Chl-a estimation using the reflectance models(MOD3: R-1λ1-R-1λ2)×Rλ3and MOD2:R-1λ1×Rλ3) derived from the Medium Resolution Spectral Image(MERSI) onboard the newly launched FY-3A satellite and the Moderate Imaging Spectroradiometer(MODIS) onboard the AQUA platforms.Validation studies demonstrated that both models provided reliable estimates of Chl-a concentrations with determination coefficients R2 of 0.72~0.79(MOD2) and 0.52~0.76(MOD3) for MERSI standard band settings.This accuracy is slightly better than that of the MODIS results with R2 of 0.65～0.69 and 0.43~0.70 for MOD2 and MOD3,respectively.Comparison analysis between models and sensors indicated that the blue and near infrared wave ranges are of potential for Chl-a estimation.Besides,the higher spatial resolution of MERSI(250m) may explain the better performance for both models compared to that of MODIS.This research will be helpful for the development of future Chl-a estimation models using the satellite observations.
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