Flood Inundation Mapping by Combining GNSS-R Signals with Topographical Information. - S. L. Kesav Unnithan; Basudev Biswal; Christoph Rüdiger (Remote. Sens., 2020)

A novel conceptual flood inundation model for large scale data-scarce regions. - S. L. Kesav Unnithan; Basudev Biswal; Christoph Rüdiger; Amit Kumar Dubey (Environ. Model. Softw., 2024)

HyperEst: Context-aware self-supervised pretraining for hyperspectral and multispectral water quality estimation. - Chenxi Luo; Wei Xiang 001; Kang Han; Lu Yu; Yiqing Guo; S. L. Kesav Unnithan; Xiubin Qi; Nagur Cherukuru (Int. J. Appl. Earth Obs. Geoinformation, 2025)

Mapping total suspended solids (TSS) and dissolved organic carbon (DOC) in complex coastal waters using deep learning enhanced remote sensing. - S. L. Kesav Unnithan; Nagur Cherukuru; Timothy Ingleton; Eric A. Lehmann; Matt Paget; Yiqing Guo; Nathan Drayson; Gemma Kerrisk (Ecol. Informatics, 2025)

Decadal analysis of sea surface temperature patterns, climatology, and anomalies in temperate coastal waters with Landsat-8 TIRS observations. - Yiqing Guo; Nagur Cherukuru; Eric A. Lehmann; Xiubin Qi; Mark Doubelld; S. L. Kesav Unnithan; Ming Feng (CoRR, 2025)

Hyperspectral in situ remote sensing of water surface nitrate in the Fitzroy River estuary, Queensland, Australia, using deep learning. - Yiqing Guo; Nagur Cherukuru; Eric A. Lehmann; S. L. Kesav Unnithan; Gemma Kerrisk; Tim J. Malthus; Faisal Islam (CoRR, 2025)