Abstract
Band ratios using remote imagery can be useful for monitoring large bodies of water when high quality imagery is available. Sentinel-2 satellite imagery provides frequent, high-resolution coverage of the globe. This study set out to test the usefulness of existing band ratios for estimating chlorophyll a (CHL-a), dissolved organic carbon (DOC), and turbidity with Sentinel-2 imagery. USGS in-situ data was matched to Sentinel-2 imagery of Beaver Lake, Arkansas taken August 2015 to July 2019 and the dark spectrum fitting (DSF) atmospheric correction method in ACOLITE was applied to generate surface reflectance values. CHL-a was estimated using two different methods, the band 5 (B5) peak at 704.1 nm and the ratio of B5 to B4. DOC was estimated using the ratio of B3 to B4. A turbidity estimation equation was created by directly correlating turbidity to B4 reflectance values. The usage of these methods was deemed to be unfit for use under the conditions found at Beaver Lake. Poor correlation was found for CHL-a (R² = 0.0228, R = -0.1510, & R² = 0.0344, R = 0.1855) and for DOC (R² = 0.0548, R = -0.2341). Turbidity was more strongly corelated to the estimate equation (R² = 0.8402, R =0.9166) but considering the poor results for other parameters it is not recommended to apply these methodologies to parameter estimation at Beaver Lake.
Recommended Citation
Spoor, Austin and Cha, Ho-Seop
(2024)
"The Usage of Band Ratios to Predict Lake Water Quality Parameters using Sentinel-2 L1C Imagery,"
International Journal of Geospatial and Environmental Research: Vol. 11:
No.
1, Article 1.
Available at:
https://dc.uwm.edu/ijger/vol11/iss1/1