Multispectral Remote Sensing Utilization for Monitoring Chlorophyll-a Levels in Inland Water Bodies in Jordan
Joint Authors
Hussein, Nidal M.
Assaf, Mohammed N.
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-08-07
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
This study focuses on the utilization of multispectral satellite images for remote water-quality evaluation of inland water body in Jordan.
The geophysical parameters based on water’s optical properties, due to the presence of optically active constituents, are used to determine contaminant level in water.
It has a great potential to be employed for continuous and cost-effective water-quality monitoring and leads to a reliable regularly updated tool for better water sector management.
Three sets of water samples were collected from three different dams in Jordan.
Chl-a concentration of the water samples was measured and used with corresponding Sentinel 2 surface reflectance (SR) data to develop a predictive model.
Chl-a concentrations and corresponding SR data were used to calibrate and validate different models.
The predictive capability of each of the investigated models was determined in terms of determination coefficient (R2) and lowest root mean square error (RMSE) values.
For the investigated sites, the B3/B2 (green/blue bands) model and the Ln (B3/B2) model showed the best overall predictive capability of all models with the highest R2 and the lowest RMSE values of (0.859, 0.824) and (30.756 mg/m3, 29.787 mg/m3), respectively.
The outcome of this study on selected sites can be expanded for future work to cover more sites in the future and ultimately cover all sites in Jordan.
American Psychological Association (APA)
Hussein, Nidal M.& Assaf, Mohammed N.. 2020. Multispectral Remote Sensing Utilization for Monitoring Chlorophyll-a Levels in Inland Water Bodies in Jordan. The Scientific World Journal،Vol. 2020, no. 2020, pp.1-14.
https://search.emarefa.net/detail/BIM-1213922
Modern Language Association (MLA)
Hussein, Nidal M.& Assaf, Mohammed N.. Multispectral Remote Sensing Utilization for Monitoring Chlorophyll-a Levels in Inland Water Bodies in Jordan. The Scientific World Journal No. 2020 (2020), pp.1-14.
https://search.emarefa.net/detail/BIM-1213922
American Medical Association (AMA)
Hussein, Nidal M.& Assaf, Mohammed N.. Multispectral Remote Sensing Utilization for Monitoring Chlorophyll-a Levels in Inland Water Bodies in Jordan. The Scientific World Journal. 2020. Vol. 2020, no. 2020, pp.1-14.
https://search.emarefa.net/detail/BIM-1213922
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1213922