Journal of Wetland Ecobiology
Volume 18, Issue 4 (3-2026)
2026, 18(4): 1-14 |
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Elmizadeh H, fazelpoor K. Assessment of Water Quality Parameters and Suspended Sediments in Khuzestan Coastal Waters Using MODIS Satellite Data. Wetland Ecobiology 2026; 18 (4) : 1
URL: http://jweb.ahvaz.iau.ir/article-1-1059-en.html
URL: http://jweb.ahvaz.iau.ir/article-1-1059-en.html
Faculty of Natural Resources, Khorramshahr University of Marine Sciences and Technology
Abstract: (58 Views)
Monitoring water quality and suspended sediments in sensitive coastal ecosystems like the Persian Gulf is essential for assessing ecological health and enabling sustainable management. This study aimed to integrate findings from satellite image processing concerning water clarity (using Secchi Disk Depth, SDD), key environmental parameters (salinity, sea surface temperature, chlorophyll-a, and turbidity), and suspended sediment concentration (SS and TSS) along the Khuzestan coast in the northwestern Persian Gulf. MODIS sensor data were processed through coding in the MATLAB environment and, following geometric and atmospheric corrections, were analyzed using various inversion algorithms (semi-analytical and empirical). Results were validated with field data. Accuracy assessment of the SDD estimation algorithms revealed that the empirical algorithm (EMP) performed best, with the highest coefficient of determination (R² = 0.86) and lowest error (RMSE = 0.92 m). However, the advantages of semi-analytical algorithms (SA and QAA) in terms of independence from field data and generalizability were also discussed. The estimation of other parameters was also achieved with acceptable accuracy; sea surface salinity was estimated with the highest precision (R² = 0.89, RMSE = 0.68). For suspended sediments, a combined regression model utilizing both 250 m and 500 m resolution MODIS bands provided the best estimate of suspended solids (SS) concentration, with R² = 0.82 and RMSE = 0.88 mg/L. This study confirms the efficacy and reliability of remote sensing techniques as an efficient, cost-effective tool with extensive spatio-temporal coverage for the integrated and continuous monitoring of the ecological health of the Khuzestan coasts and underscores the necessity for effective management of contributing river watersheds.
Article number: 1
Keywords: Remote Sensing, Integrated Management, SDD, Complex Coastal Waters, Retrieval, Persian Gulf
Type of Study: Research |
Subject:
Special
Received: 2024/06/1 | Accepted: 2026/05/31 | Published: 2026/05/31
Received: 2024/06/1 | Accepted: 2026/05/31 | Published: 2026/05/31
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