Blue Earth River quality monitoring using ARCHER hyperspectral data and field measurements |
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| Authors: | Fei Yuan Bryce Hoppie Donald Friend Namyong Lee |
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| Institution: | 1. Department of Geography, AH7, Minnesota State University, Mankato, USA.fei.yuan@mnsu.edu;3. Department of Chemistry and Geology, Minnesota State University, Mankato, USA.;4. Department of Geography, AH7, Minnesota State University, Mankato, USA.;5. Department of Mathematics and Statistics, Minnesota State University, Mankato, USA. |
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| Abstract: | In past decades, remote sensing studies on water quality mapping mainly focused on lakes using medium resolution imagery. Little research utilizes hyperspectral images to assess river water quality. This study aims to assess the capability of using Airborne Real-time Cueing Hyperspectral Enhanced Reconnaissance (ARCHER) for river water quality mapping and to characterize spatial patterns of turbidity and chlorophyll in the Blue Earth River (BER) system of Minnesota. The BER was characterized by both hyperspectral imagery (HSI) and laboratory analysis of synchronously collected water quality data. The optimal bands for water quality mapping were determined using a method based on hyperspectral profiles and derivative analysis. Finally, based on the regression analysis and modelling, we mapped continuous surface water turbidity. The results revealed that the ratio of HSI band 17 to band 9 effectively determined turbidity and chlorophyll concentrations. The study also found that turbidity and chlorophyll in the river generally increases downstream. |
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| Keywords: | Blue Earth River (BER) Airborne Real-time Cueing Hyperspectral Enhanced Reconnaissance (ARCHER) turbidity chlorophyll derivative analysis |
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