Evaluation of Different Atmospheric Correction ‎Methods Prior to the Estimation of Total Dissolved ‎Solids Concentrations from Satellite Imagery

Surface water quality is degraded by the presence of numerous types of pollution produced by anthropogenic activities. Hence, surface water quality monitoring and assessment is essential. Conventional approaches of surface water quality monitoring are costly, time-consuming, and labor-intensive. On...

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Main Authors: ahmed aboelnaga, Hafez Abbas Afify, essam sharaf el din
Format: Article
Language:Arabic
Published: Faculty of engineering, Tanta University 2023-03-01
Series:Journal of Engineering Research - Egypt
Subjects:
Online Access:https://erjeng.journals.ekb.eg/article_278036_d942b594f6bf502166096484002845d7.pdf
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author ahmed aboelnaga
Hafez Abbas Afify
essam sharaf el din
author_facet ahmed aboelnaga
Hafez Abbas Afify
essam sharaf el din
author_sort ahmed aboelnaga
collection DOAJ
description Surface water quality is degraded by the presence of numerous types of pollution produced by anthropogenic activities. Hence, surface water quality monitoring and assessment is essential. Conventional approaches of surface water quality monitoring are costly, time-consuming, and labor-intensive. On the other hand, remote sensing is an effective tool for monitoring surface water quality. Satellite images should be atmospherically corrected prior to using them in the estimation of surface water quality parameters (SWQPs). Therefore, The purpose of this study is to evaluate the outputs from several atmospheric correction methods, such as Dark Object Subtraction (DOS), Quick Atmospheric Correction (QUAC), Fast Line of sight Atmospheric Analysis of Hypercubes (FLAASH), and Atmospheric Correction for OLI lite (ACOLITE) in order to estimate total dissolved solids concentrations (TDS) over the study area of the whole province of New Brunswick, Canada. A TDS acquisition model was calibrated and validated in order to obtain TDS concentrations from atmospherically corrected Operational Land Imager (OLI) data. The results obtained from the TDS retrieval model demonstrated that the DOS method provided the most suitable remote sensing reflectance values for coastal blue, red, and shortwave infrared-2 spectral bands with a coefficient of determination (𝐑𝟐=0.76), Root Mean Square Error (RMSE=0.76 mg/l), and significant value (P-value
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spelling doaj.art-04e09da2789a48e4a0f74b681fd916202023-06-21T06:45:22ZaraFaculty of engineering, Tanta UniversityJournal of Engineering Research - Egypt2356-94412735-48732023-03-01711610.21608/erjeng.2023.182938.1133278036Evaluation of Different Atmospheric Correction ‎Methods Prior to the Estimation of Total Dissolved ‎Solids Concentrations from Satellite Imageryahmed aboelnaga0Hafez Abbas Afify1essam sharaf el din2Demonstrator, International Academy for Engineering and Media Science, 6 October, GizaProfessor of Public Works EngineeringLecturer, Faculty of Engineering, Tanta universitySurface water quality is degraded by the presence of numerous types of pollution produced by anthropogenic activities. Hence, surface water quality monitoring and assessment is essential. Conventional approaches of surface water quality monitoring are costly, time-consuming, and labor-intensive. On the other hand, remote sensing is an effective tool for monitoring surface water quality. Satellite images should be atmospherically corrected prior to using them in the estimation of surface water quality parameters (SWQPs). Therefore, The purpose of this study is to evaluate the outputs from several atmospheric correction methods, such as Dark Object Subtraction (DOS), Quick Atmospheric Correction (QUAC), Fast Line of sight Atmospheric Analysis of Hypercubes (FLAASH), and Atmospheric Correction for OLI lite (ACOLITE) in order to estimate total dissolved solids concentrations (TDS) over the study area of the whole province of New Brunswick, Canada. A TDS acquisition model was calibrated and validated in order to obtain TDS concentrations from atmospherically corrected Operational Land Imager (OLI) data. The results obtained from the TDS retrieval model demonstrated that the DOS method provided the most suitable remote sensing reflectance values for coastal blue, red, and shortwave infrared-2 spectral bands with a coefficient of determination (𝐑𝟐=0.76), Root Mean Square Error (RMSE=0.76 mg/l), and significant value (P-valuehttps://erjeng.journals.ekb.eg/article_278036_d942b594f6bf502166096484002845d7.pdfsurface water qualityatmospheric correctiondark object subtractiontotal dissolved solids
spellingShingle ahmed aboelnaga
Hafez Abbas Afify
essam sharaf el din
Evaluation of Different Atmospheric Correction ‎Methods Prior to the Estimation of Total Dissolved ‎Solids Concentrations from Satellite Imagery
Journal of Engineering Research - Egypt
surface water quality
atmospheric correction
dark object subtraction
total dissolved solids
title Evaluation of Different Atmospheric Correction ‎Methods Prior to the Estimation of Total Dissolved ‎Solids Concentrations from Satellite Imagery
title_full Evaluation of Different Atmospheric Correction ‎Methods Prior to the Estimation of Total Dissolved ‎Solids Concentrations from Satellite Imagery
title_fullStr Evaluation of Different Atmospheric Correction ‎Methods Prior to the Estimation of Total Dissolved ‎Solids Concentrations from Satellite Imagery
title_full_unstemmed Evaluation of Different Atmospheric Correction ‎Methods Prior to the Estimation of Total Dissolved ‎Solids Concentrations from Satellite Imagery
title_short Evaluation of Different Atmospheric Correction ‎Methods Prior to the Estimation of Total Dissolved ‎Solids Concentrations from Satellite Imagery
title_sort evaluation of different atmospheric correction ‎methods prior to the estimation of total dissolved ‎solids concentrations from satellite imagery
topic surface water quality
atmospheric correction
dark object subtraction
total dissolved solids
url https://erjeng.journals.ekb.eg/article_278036_d942b594f6bf502166096484002845d7.pdf
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AT hafezabbasafify evaluationofdifferentatmosphericcorrectionmethodspriortotheestimationoftotaldissolvedsolidsconcentrationsfromsatelliteimagery
AT essamsharafeldin evaluationofdifferentatmosphericcorrectionmethodspriortotheestimationoftotaldissolvedsolidsconcentrationsfromsatelliteimagery