Canopy Height Estimation Using Sentinel Series Images through Machine Learning Models in a Mangrove Forest. - Sujit Madhab Ghosh; Mukunda Dev Behera; Somnath Paramanik (Remote. Sens., 2020)

Aboveground biomass estimates of tropical mangrove forest using Sentinel-1 SAR coherence data - The superiority of deep learning over a semi-empirical model. - Sujit Madhab Ghosh; Mukunda Dev Behera (Comput. Geosci., 2021)

Species-Level Classification and Mapping of a Mangrove Forest Using Random Forest - Utilisation of AVIRIS-NG and Sentinel Data. - Mukunda Dev Behera; Surbhi Barnwal; Somnath Paramanik; Pulakesh Das; Bimal Kumar Bhattyacharya; Buddolla Jagadish; Parth S. Roy; Sujit Madhab Ghosh; Soumit Kumar Behera (Remote. Sens., 2021)

A new synergistic approach for Sentinel-1 and PALSAR-2 in a machine learning framework to predict aboveground biomass of a dense mangrove forest. - A. Jaya Prakash; Mukunda Dev Behera; Sujit Madhab Ghosh; A. Das; D. R. Mishra (Ecol. Informatics, 2022)

Predicting the Forest Canopy Height from LiDAR and Multi-Sensor Data Using Machine Learning over India. - Sujit Madhab Ghosh; Mukunda Dev Behera; Subham Kumar; Pulakesh Das; Ambadipudi J. Prakash; Prasad K. Bhaskaran; Parth S. Roy; Saroj Kanta Barik; Jeganathan Chockalingam; Prashant Kumar Srivastava; Soumit Kumar Behera (Remote. Sens., 2022)