title: Hyperspectral determination of eutrophication for a water supply source via genetic algorithm-partial least squares (GA-PLS) modeling.
abstract: Morse Reservoir (MR), a major source of the water supply for the Indianapolis metropolitan region, is now experiencing nuisance cyanobacterial blooms. These blooms cause water quality degradation, as well as reducing the aesthetic quality of water by producing toxins, scums, and foul odors. Hyperspectral remote sensing data from both in situ and airborne AISA measurements were applied to GA-PLS by relating the spectral signal with measured water eutrophication parameters, e.g., chlorophyll-a (Chl-a), phycocyanin (PC), total suspended matter (TSM), and Secchi disk depth (SDD). Our results indicate that GA-PLS relating field sensor acquired spectral reflectance to the above-mentioned four parameters yielded low root mean square error between measured and estimated Chl-a (RMSE=10.4; Range (R): 1.8-215.8 μg/L), PC (RMSE=18.6; R: 1.4-371.0 μg/L), TSM (RMSE=3.8; R: 3.6-81.4 mg/L), SDD (RMSE=5.8; R: 25-135 cm) for MR. The GA-PLS model also yielded high performance with AISA image spectra, and the RMSEs were 12.1 μg/L, 25.3 μg/L, 5.9 mg/L and 5.7 cm, respectively for Chl-a, PC, TSM, and SDD. Four water quality parameters were mapped with GA-PLS using AISA hyperspectral image. Based on these results, in situ and airborne hyperspectral remote sensors can provide both quantitative and qualitative information on the distribution and concentration of cyanobacteria, suspended matter, and transparency in MR.
authors.affiliation: Department of Earth Sciences, Indiana University-Purdue University, Indianapolis, IN, USA. kaissong@iupui.edu
authors.forename: Kaishan
authors.initials: K
authors.lastname: Song
authors.forename: Lin
authors.initials: L
authors.lastname: Li
authors.forename: Lenore P
authors.initials: LP
authors.lastname: Tedesco
authors.forename: Shuai
authors.initials: S
authors.lastname: Li
authors.forename: Nicolas A
authors.initials: NA
authors.lastname: Clercin
authors.forename: Bob E
authors.initials: BE
authors.lastname: Hall
authors.forename: Zuchuan
authors.initials: Z
authors.lastname: Li
authors.forename: Kun
authors.initials: K
authors.lastname: Shi
mesh_terms: D000465:Algorithms; D002734:Chlorophyll / Q000032:analysis*; D004784:Environmental Monitoring / Q000379:methods*; D005068:Eutrophication; D005618:Fresh Water / Q000737:chemistry*; D007196:Indiana; D016018:Least-Squares Analysis; D008956:Models, Chemical; D010798:Phycocyanin / Q000032:analysis; D014873:Water Pollutants / Q000032:analysis; D014876:Water Pollution / Q000706:statistics & numerical data*; D014881:Water Supply / Q000706:statistics & numerical data*
chemical_list: D014873:Water Pollutants; D010798:Phycocyanin; D002734:Chlorophyll