Chaubey et al., 2015

Paper/Book

Using field and remotely sensed hyperspectral data to quantify water quality parameters in the Wabash River and its tributary, Indiana

Tan, J., K.A. Cherkauer, and I. Chaubey (2015)
International Journal of Remote Sensing 36 (21): 5466-5484  

Abstract

A hand-held spectrometer was used to collect above-water spectral measurements for measuring optically active water-quality characteristics of the Wabash River and its tributaries in Indiana. Water sampling was undertaken concurrent with spectral measurements to estimate concentrations of chlorophyll (chl) and total suspended solids (TSS). A method for removing sky and Sun glint from field spectra for turbid inland waters was developed and tested. Empirical models were then developed using the corrected field spectra and in situ chl and TSS data. A subset of the field measurements was used for model development and the rest for model validation. Spectral characteristics indicative of waters dominated by different inherent optical properties (IOPs) were identified and used as the basis of selecting bands for empirical model development. It was found that the ratio of the reflectance peak at the red edge (704 nm) with the local minimum caused by chl absorption at 677 nm was a strong predictor of chl concentrations (coefficient of determination (R2) = 0.95). The reflectance peak at 704 nm was also a good predictor for TSS estimation (R2 = 0.75). In addition, we also found that reflectance within the near-infrared (NIR) wavelengths (700–890 nm) all showed a strong correlation (0.85–0.91) with TSS concentrations and generated robust models. Results suggest that hyperspectral information provided by field spectrometer can be used to distinguish and quantify water-quality parameters under complex IOP conditions.

Citation

Tan, J., K.A. Cherkauer, and I. Chaubey (2015): Using field and remotely sensed hyperspectral data to quantify water quality parameters in the Wabash River and its tributary, Indiana. International Journal of Remote Sensing 36 (21): 5466-5484. DOI: 10.1080/01431161.2015.1101654