Estimation of Reservoir Bio-Optical Water Quality Parameters Using Smartphone Sensor Apps and Landsat ETM+: Review and Comparative Experimental Results
Joint Authors
Waga, J.
Okech, M.
Lavisa, O.
Mbuthia, D.
Ouma, Yashon O.
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-32, 32 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-08-06
Country of Publication
Egypt
No. of Pages
32
Main Subjects
Abstract EN
This study presents a comparative evaluation of three real-time imaging-based approaches for the prediction of optically active water constituents as chlorophyll-a (Chl-a), turbidity, suspended particulate matter (SPM), and reservoir water colour.
The imaging models comprise of Landsat ETM+-visible and NIR (VNIR) data and EyeOnWater and HydroColor Smartphone sensor apps.
To estimate the selected water quality parameters (WQP) from Landsat ETM+-VNIR, predictive models based on empirical relationships were developed.
From the in situ measurements and the Landsat regression models, the results from the remote reflectances of ETM+ green, blue, and NIR independently yielded the best fits for the respective predictions of Chl-a, turbidity, and SPM.
The concentration of Chl-a was derived from the Landsat ETM+ and HydroColor with respective Pearson correlation coefficients r of 0.8977 and 0.8310.
The degree of turbidity was determined from Landsat, EyeOnWater, and HydroColor with respective r values of 0.9628, 0.819, and 0.8405.
From the same models, the retrieved SPM was regressed with the laboratory measurements with r value results of 0.6808, 0.7315, and 0.8637, respectively, from Landsat ETM+, EyeOnWater, and HydroColor.
The empirical study results showed that the imaging models can be effectively applied in the estimation of the physical WQP.
American Psychological Association (APA)
Ouma, Yashon O.& Waga, J.& Okech, M.& Lavisa, O.& Mbuthia, D.. 2018. Estimation of Reservoir Bio-Optical Water Quality Parameters Using Smartphone Sensor Apps and Landsat ETM+: Review and Comparative Experimental Results. Journal of Sensors،Vol. 2018, no. 2018, pp.1-32.
https://search.emarefa.net/detail/BIM-1201111
Modern Language Association (MLA)
Ouma, Yashon O.…[et al.]. Estimation of Reservoir Bio-Optical Water Quality Parameters Using Smartphone Sensor Apps and Landsat ETM+: Review and Comparative Experimental Results. Journal of Sensors No. 2018 (2018), pp.1-32.
https://search.emarefa.net/detail/BIM-1201111
American Medical Association (AMA)
Ouma, Yashon O.& Waga, J.& Okech, M.& Lavisa, O.& Mbuthia, D.. Estimation of Reservoir Bio-Optical Water Quality Parameters Using Smartphone Sensor Apps and Landsat ETM+: Review and Comparative Experimental Results. Journal of Sensors. 2018. Vol. 2018, no. 2018, pp.1-32.
https://search.emarefa.net/detail/BIM-1201111
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1201111