PASIG RIVER WATER QUALITY ESTIMATION USING AN EMPIRICAL ORDINARY LEAST SQUARES REGRESSION MODEL OF SENTINEL-2 SATELLITE IMAGES

15 citations as recorded by crossref.

1. Study on Water Quality Inversion Model of Dianchi Lake Based on Landsat 8 Data J. Cao et al. 10.1155/2022/3341713
2. Assessing dissolved oxygen dynamics in Pasig River, Philippines: A HEC-RAS modeling approach during the COVID-19 pandemic J. Casila et al. 10.2166/wpt.2024.078
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4. Deep learning for river water quality monitoring: a CNN-BiLSTM approach along the Kaveri River T. Geetha et al. 10.1007/s40899-024-01102-6
5. Integration of Machine Learning and Remote Sensing for Water Quality Monitoring and Prediction: A Review S. Mohan et al. 10.3390/su17030998
6. Implementation of remote sensing algorithms to estimate TOC, Chl-a, and TDS in a tropical water body; Sanalona reservoir, Sinaloa, Mexico A. Quevedo-Castro et al. 10.1007/s10661-024-12305-x
7. Lake total suspended matter retrieval by wind speed: A machine learning model trained by time-series satellite imagery A. Noori et al. 10.1016/j.ecoinf.2024.102565
8. Combined application of metagenomics and FEAST to trace sources of microbial eukaryotic contamination in the Pasig–Marikina–San Juan (PAMARISAN) river system in Metro Manila, Philippines D. Mamawal & W. Rivera 10.1007/s10661-025-13630-5
9. Using C2X to Explore the Uncertainty of In Situ Chlorophyll-a and Improve the Accuracy of Inversion Models W. Li et al. 10.3390/su15129516
10. Sediment Transport Modeling in the Pasig River, Philippines Post Taal Volcano Eruption J. Casila et al. 10.3390/geosciences14020045
11. Eutrophication and HAB Occurrence Control in Lakes of Different Origins: A Multi-Source Remote Sensing Detection Strategy G. Laneve et al. 10.3390/rs16101792
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13. Tigris River water surface quality monitoring using remote sensing data and GIS techniques W. Ahmed et al. 10.1016/j.ejrs.2023.09.001
14. Vineyard Pruning Weight Prediction Using 3D Point Clouds Generated from UAV Imagery and Structure from Motion Photogrammetry M. García-Fernández et al. 10.3390/agronomy11122489
15. Gradient Boosting and Linear Regression for Estimating Coastal Bathymetry Based on Sentinel-2 Images F. Abdul Gafoor et al. 10.3390/rs14195037