Open Access

Assessment of a Non-Optical Water Quality Property Using Space-based Imagery in Egyptian Coastal Lake

Hala O. Abayazid
Hala O. Abayazid
 and 
Ahmed El-Adawy
Ahmed El-Adawy
   | Nov 11, 2019
International Journal of Advanced Network, Monitoring and Controls's Cover Image
About this article
Previous Article
Next Article
Cite
Published Online: Nov 11, 2019
Page range: 53 - 64
DOI: https://doi.org/10.21307/ijanmc-2019-059
Keywords
© 2019 Hala O. Abayazid et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Figure 1.

Edku Lake
Edku Lake

Figure 2.

Field measurement locations in Lake Edku zones A, B, C, and D
Field measurement locations in Lake Edku zones A, B, C, and D

Figure 3.

Observed DO data during four seasons in Lake Edku zones
Observed DO data during four seasons in Lake Edku zones

Figure 4.

Spatial distribution of derived Temperature (ºC) within Lake Edku in spring, 2016
Spatial distribution of derived Temperature (ºC) within Lake Edku in spring, 2016

Figure 5.

Spatial distribution of derived Turbidity (NTU) within Lake Edku in spring, 2016
Spatial distribution of derived Turbidity (NTU) within Lake Edku in spring, 2016

Figure 6.

Spatial distribution of derived TSS (mg/L) within Lake Edku in spring, 2016
Spatial distribution of derived TSS (mg/L) within Lake Edku in spring, 2016

Figure 7.

Spatial distribution of derived Chlorophyll-a (mg/m3) within Lake Edku in spring, 2016
Spatial distribution of derived Chlorophyll-a (mg/m3) within Lake Edku in spring, 2016

Figure 8.

Predictive capacity of developed algorithm model for DO Satellite-based retrieval
Predictive capacity of developed algorithm model for DO Satellite-based retrieval

Figure 9.

Validation of the developed model for DO retrieval
Validation of the developed model for DO retrieval

Figure 10.

Observed versus derived DO concentrations during four seasons in Lake Edku
Observed versus derived DO concentrations during four seasons in Lake Edku

Figure 11.

Retrieved DO concentrations in Lake Edku during winter season
Retrieved DO concentrations in Lake Edku during winter season

USED LANDSAT 8 (OLI) SCENES AND DATES OF ACQUISITION

Scene ID (path177/row38)Date Acquired
“LC81770382016071LGN01”11-Mar-2016
“LC81770382016151LGN01”30-May-2016
“LC81770382016231LGN01”18-Aug-2016
“LC81770382016343LGN01”8-Dec-2016

LANDSAT 8 (OLI) SPECTRAL BANDS CONSIDERED IN THIS STUDY

Landsat 8 (OLI) bandsSpectral range (μm)
Band 2 (Visible)0.450 - 0.51
Band 3 (Visible)0.53 - 0.59
Band 4 (Visible)0.64 - 0.67
Band 5 (Near-Infrared)0.85 - 0.88
Thermal Infrared Sensor (TIRS)
Thermal Infrared (Band 10)10.6 - 11.19
Thermal Infrared (Band 11)11.5 - 12.51

SENSITIVITY ANALYSIS FOR OPTIMAL DO RETRIEVAL ALGORITHM MODEL

SeasonsInput ParametersRegression Coefficient (R2)
Spring & Fall & WinterTurb, TSS, Chl, Ln-temp0.618
Summer & Fall & WinterTurb, TSS, Chl, Ln-temp0.630
Spring & Summer & FallTurb, TSS, Chl, Ln-temp0.657
Summer & FallTurb, TSS, Chl, Ln-temp0.781
Spring & FallTurb, TSS, Chl, Ln-temp0.751
Spring & WinterTurb, TSS, Chl, Ln-temp0.651
Spring & Summer & FallTurb, TSS, Ln-temp0.613
Summer & Fall & WinterTurb, TSS, Ln-temp0.601
Spring & Fall & WinterTurb, TSS, Ln-temp0.584
Spring & FallTurb, TSS, Chl0.644
Spring & FallTSS, Chl, Ln-temp0.676
Spring & WinterTSS, Chl, Ln-temp0.554
Summer & FallTurb, TSS, Ln-temp0.766
Summer & FallTurb, Chl, Ln-temp0.798
Summer & FallTSS, Ln-temp0.756
Summer & FallTurb, Ln-temp0.792

DESCRIPTIVE STATISTICS FOR OBSERVED VERSUS DERIVED YEARLY DO LEVELS WITHIN LAKE EDKU

Descriptive StatisticsDo (mg/L)
ObservedModeled
Mean10.4409.064
Minimum1.5604.552
Maximum18.10720.271
Standard Deviation4.0423.841
eISSN:
2470-8038
Language:
English
Publication timeframe:
4 times per year
Journal Subjects:
Computer Sciences, other
Journal RSS Feed