Monitoring and modelling water quality parameters by means of hyperspectral data

摘要

Optical remote sensing is a useful tool for monitoring water quality parameters in inland and coastal waters. The objectives of this study focus on the utilities of Airborne Imaging Spectroradiometer for Applications (AISA) and multispectral remotely-sensed data for monitoring and modelling water quality parameters (WQPs). This paper illustrates the inversion of reflectance spectra in terms of three water quality parameters: total suspended matter, chlorophyll-a, collared dissolved organic matter (CDOM), and water itself. The in situ sub-surface hyperspectral spectroradiometer data, AISA data and model-derived spectral signatures were compared. The performance of the bio-optical model in the research study areas was thoroughly examined and the effect of WQPs on spectra was described. The factors influencing the qualitative and quantitative nature of the spectra were also analysed. As a result, it appeared that developed modelled reflectance spectra were in agreement with the measured spectral signals. The research demonstrates an example of successful application of optical models in inland and coastal waters.