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A Hybrid Remote Sensing and Statistical Modelling Framework For River Water-Quality Forecasting During Extreme Hydrologic Events by International Journal of Innovative Science and Research Technology is a document available to read on EtoBox.
This study presents a hybrid framework combining remote sensing and statistical modeling to improve river water-quality forecasting during extreme hydrologic events. By integrating multispectral satellite data with ground-based observations and advanced statistical techniques, the framework enhances predictive accuracy and early-warning capabilities, significantly reducing prediction errors. The findings emphasize the importance of satellite observations for monitoring inaccessible areas and support proacti
- Author
- International Journal of Innovative Science and Research Technology
- Language
- EN