OPTMIZATION OF BIO-OPTICAL MODEL PARAMETERS FOR TURBID LAKE WATER QUALITY ESTIMATION USING LANDSAT 8 AND WASI-2D

7 citations as recorded by crossref.

1. A Chlorophyll-a Algorithm for Landsat-8 Based on Mixture Density Networks B. Smith et al. 10.3389/frsen.2020.623678
2. Remote Sensing of Sediment Discharge in Rivers Using Sentinel-2 Images and Machine-Learning Algorithms A. Mohsen et al. 10.3390/hydrology9050088
3. Stacked Ensemble with Machine Learning Regressors on Optimal Features (SMOF) of hyperspectral sensor PRISMA for inland water turbidity prediction R. Bhattacharjee et al. 10.1007/s11356-024-35481-2
4. WASI-AI: Synergistic Integration of AI and Physics for Retrieving Water Quality and Benthic Parameters from Multi- and Hyperspectral Images M. Niroumand-Jadidi & P. Gege 10.1109/JSTARS.2025.3605061
5. Optimization of Landsat Chl-a Retrieval Algorithms in Freshwater Lakes through Classification of Optical Water Types M. Dallosch & I. Creed 10.3390/rs13224607
6. Robust Bathymetric Mapping in Shallow Waters: A Digital Surface Model-Integrated Machine Learning Approach Using UAV-Based Multispectral Imagery M. Zhou et al. 10.3390/rs17173066
7. Augmenting Heritage Ocean-Color Aerosol Models for Enhanced Remote Sensing of Inland and Nearshore Coastal Waters M. Montes et al. 10.3389/frsen.2022.860816