Quantifying Spatiotemporal Variability of Patna's 2023 Monsoon Flood Using Sentinel-1 SAR Data and Moran’s Index

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2. Assessment and prediction of snow cover dynamics over Siachen using advanced statistics and Hybrid Seasonal-Trend Fourier Regression model A. Thakur et al. https://doi.org/10.1016/j.coldregions.2026.105045
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9. Prediction of Tropospheric Nitrogen Dioxide in Kolkata Using Sentinel-5p and Sentinel-2 Multispectral Data and Machine Learning Algorithm A. Srivastava et al. https://doi.org/10.1007/s12524-025-02353-2