Figure_X_Description
This dataset contains high-resolution figures associated with the research article:
📄 "Satellite Monitoring of Water Quality in the Persian Gulf in Regions Under Heavy Anthropogenic Pressure."
The figures include:
✅ Study Area Map – A detailed geospatial representation of the Persian Gulf region under investigation, highlighting areas with significant anthropogenic activities.
✅ K-Nearest Neighbors (KNN) Model Outputs – Water quality estimations derived from the KNN model using different distance metrics:
- Mahalanobis Distance
- Fuzzy Mahalanobis Distance
- Euclidean Distance
✅ Scatter Plots of Optically Active Components – Comparative analysis of:
- Chlorophyll-a (Chl-a)
- Colored Dissolved Organic Matter (CDOM)
- Turbidity (TSS)
These scatter plots illustrate the relationships between water quality parameters under different atmospheric correction methods:
- iCOR
- C2RCC
- ACOLITE
The dataset provides essential visual support for the research findings, helping to understand the impact of atmospheric correction techniques and machine learning models on remote sensing-based water quality monitoring.
