Multispectral Remote Sensing Utilization for Monitoring Chlorophyll-a Levels in Inland Water Bodies in Jordan

Joint Authors

Hussein, Nidal M.
Assaf, Mohammed N.

Source

The Scientific World Journal

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