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Sujit Ghosh
Sujit Ghosh
Senior Carbon Expert, Solid World
Verified email at solid.world
Title
Cited by
Cited by
Year
Aboveground biomass estimation using multi-sensor data synergy and machine learning algorithms in a dense tropical forest
SM Ghosh, MD Behera
Applied Geography 96 (March), 29-40, 2018
1792018
Canopy Height Estimation Using Sentinel Series Images through Machine Learning Models in a Mangrove Forest
SM Ghosh, MD Behera, S Paramanik
Remote Sensing 12 (9), 1519, 2020
642020
Species-Level Classification and Mapping of a Mangrove Forest Using Random Forest—Utilisation of AVIRIS-NG and Sentinel Data
MD Behera, S Barnwal, S Paramanik, P Das, BK Bhattyacharya, ...
Remote Sensing 13 (11), 2027, 2021
482021
Aboveground biomass estimates of tropical mangrove forest using Sentinel-1 SAR coherence data-The superiority of deep learning over a semi-empirical model
SM Ghosh, MD Behera
Computers & Geosciences 150, 104737, 2021
472021
A novel approach for estimation of aboveground biomass of a carbon-rich mangrove site in India
SM Ghosh, MD Behera, B Jagadish, AK Das, DR Mishra
Journal of Environmental Management 292, 112816, 2021
252021
Estimating Agricultural Crop Types and Fallow Lands Using Multi Temporal Sentinel-2A Imageries
SM Ghosh, S Saraf, MD Behera, C Biradar
Proceedings of the National Academy of Sciences, India Section A: Physical …, 2017
182017
A new synergistic approach for Sentinel-1 and PALSAR-2 in a machine learning framework to predict aboveground biomass of a dense mangrove forest
AJ Prakash, MD Behera, SM Ghosh, A Das, DR Mishra
Ecological Informatics 72, 101900, 2022
172022
Assessing land transformation and associated degradation of the west part of Ganga River Basin using forest cover land use mapping and residual trend analysis
S Matin, S Ghosh, MD Behera
Journal of Arid Land 11, 29-42, 2019
142019
Estimating Above Ground Biomass (AGB) and Tree Density using Sentinel-1 Data
S Roy, S Mudi, P Das, S Ghosh, PK Shit, GS Bhunia, J Kim
Spatial Modeling in Forest Resources Management: Rural Livelihood and …, 2021
102021
Predicting the Forest Canopy Height from LiDAR and Multi-Sensor Data Using Machine Learning over India
SM Ghosh, MD Behera, S Kumar, P Das, AJ Prakash, PK Bhaskaran, ...
Remote Sensing 14 (23), 5968, 2022
82022
Forest canopy height estimation using satellite laser altimetry: a case study in the Western Ghats, India
SM Ghosh, MD Behera
Applied Geomatics 9, 159-166, 2017
62017
A Study on Speckle Removal Techniques for Sentinel-1A SAR Data Over Sundarbans, Mangrove Forest, India
J Ansari, SM Ghosh, MD Behera, SK Gupta
2020 IEEE India Geoscience and Remote Sensing Symposium (InGARSS), 90-93, 2020
42020
Implication of the new VCS jurisdictional and nested REDD methodology on baselines of existing avoided deforestation projects
DP Meena, K Bhandari, SM Ghosh
Journal of Environmental Management 351, 119857, 2024
2024
Above Ground Biomass Estimation in Tropical Forests Using Multi-Sensor Data Synergy
SM Ghosh
IIT Kharagpur, 2020
2020
Does Sentinel multi sensor data offer synergy in Improving Accuracy of Aboveground Biomass Estimate of Dense Tropical Forest?-Utility of Decision Tree Based Machine Learning …
SM Ghosh, MD Behera
AGU Fall Meeting Abstracts 2017, B13A-1762, 2017
2017
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