Dr Bikram Banerjee

Dr Bikram Banerjee
NameDr Bikram Banerjee
Email Addressbikram.banerjee@unisq.edu.au
Job TitleLecturer (Remote Sensing and Geospatial Science)
QualificationsBTech(ECommEng) West Bengal University of Technology, MTech IIRS NRSA, PhD UNSW
DepartmentSchool of Surveying and Built Environment
AffiliationsCentre for Agricultural Engineering
Centre for Crop Health
Centre for Sustainable Agricultural Systems
ORCIDhttps://orcid.org/0000-0002-5542-3751
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BTech(ECommEng)
West Bengal University of Technology
2011
MTech
IIRS NRSA
2013
PhD
UNSW
2019

Current Supervisions

Research TitleSupervisor TypeLevel of StudyCommenced
Optimising Underground Mobile Laser Scanning to Enhance Safety and AutomationAssociate SupervisorDoctoral2023
Real-time Underground Mine Safety Monitoring and Automation with Semantic SLAMAssociate SupervisorDoctoral2023
Smart Mapping for Australia¿s Environmental Futures: AI-Driven Solutions for Heritage and Landscape ManagementPrincipal SupervisorDoctoral2025
Integration of earth observation technologies including optical and synthetic aperture radar imageries for bushfire/wildfire risk mapping, prediction, and post burn assessment.Associate SupervisorDoctoral2024
Utilisation of GIS, Remote Sensing and Deep Learning to detect or predict the location of Indigenous Australian Cultural Heritage sites.Associate SupervisorDoctoral2022

Completed Supervisions

Research TitleSupervisor TypeLevel of StudyCompleted
Optimising Mobile Laser Scanning for Underground MinesAssociateDoctoral2022
Image-based Automated Characterisation of Waste MaterialsAssociateDoctoral2024
DateNameAwarding organisationUnderpinning research
2023Young Scientist AwardInternational Congress for Mine Surveying

Geotechnical characterisation of coal spoil piles using high-resolution optical and multispectral data: A machine learning approach

Thiruchittampalam, Sureka, Banerjee, Bikram Pratap, Glenn, Nancy F. and Raval, Simit. 2024. "Geotechnical characterisation of coal spoil piles using high-resolution optical and multispectral data: A machine learning approach." Engineering Geology. 329. https://doi.org/10.1016/j.enggeo.2024.107406

Automated hyperspectral vegetation index derivation using a hyperparameter optimisation framework for high-throughput plant phenotyping

Koh, Joshua C. O., Banerjee, Bikram P., Spangenberg, German and Kant, Surya. 2022. "Automated hyperspectral vegetation index derivation using a hyperparameter optimisation framework for high-throughput plant phenotyping." New Phytologist. 233 (6), pp. 2659-2670. https://doi.org/10.1111/nph.17947

High-throughput phenotyping using digital and hyperspectral imaging-derived biomarkers for genotypic nitrogen response

Banerjee, Bikram P., Joshi, Sameer, Thoday-Kennedy, Emily, Pasam, Raj K., Tibbits, Josquin, Hayden, Matthew, Spangenberg, German and Kant, Surya. 2020. "High-throughput phenotyping using digital and hyperspectral imaging-derived biomarkers for genotypic nitrogen response." Journal of Experimental Botany. 71 (15), pp. 4604-4615. https://doi.org/10.1093/jxb/eraa143

UAV-hyperspectral imaging of spectrally complex environments

Banerjee, Bikram Pratap, Raval, Simit and Cullen, P. J.. 2020. "UAV-hyperspectral imaging of spectrally complex environments." International Journal of Remote Sensing. 41 (11), pp. 4136-4159. https://doi.org/10.1080/01431161.2020.1714771

Spoil characterisation using UAV‑based optical remote sensing in coal mine dumps

Thiruchittampalam, Sureka, Singh, Sarvesh Kumar, Banerjee, Bikram Pratap, Glenn, Nancy F. and Raval, Simit. 2023. "Spoil characterisation using UAV‑based optical remote sensing in coal mine dumps." International Journal of Coal Science and Technology. 10 (1). https://doi.org/10.1007/s40789-023-00622-4

Mapping Sensitive Vegetation Communities in Mining Eco-space using UAV-LiDAR

Banerjee, Bikram Pratap and Raval, Simit. 2022. "Mapping Sensitive Vegetation Communities in Mining Eco-space using UAV-LiDAR." International Journal of Coal Science and Technology. 9 (1), pp. 1-16. https://doi.org/10.1007/s40789-022-00509-w

An Open-Source Package for Thermal and Multispectral Image Analysis for Plants in Glasshouse

Sharma, Neelesh, Banerjee, Bikram Pratap, Hayden, Matthew and Kant, Surya. 2023. "An Open-Source Package for Thermal and Multispectral Image Analysis for Plants in Glasshouse." Plants. 12 (2). https://doi.org/10.3390/plants12020317

Canopy Scale High-Resolution Forest Biophysical Parameter (LAI, fAPAR, and fCover) Retrieval Through Machine Learning and Cloud Computation Approach

Bandopadhyay, Subhajit, Barnali, Das, Sánchez, Alexander Cotrina, Banerjee, Sankar Prasad, Banerjee, Bikram P. and Ghosh, Subhasis. 2023. "Canopy Scale High-Resolution Forest Biophysical Parameter (LAI, fAPAR, and fCover) Retrieval Through Machine Learning and Cloud Computation Approach." 2023 International Conference on Machine Intelligence for GeoAnalytics and Remote Sensing (MIGARS). Hyderabad, India 27 - 29 Jan 2023 Hyderabad, India. https://doi.org/10.1109/MIGARS57353.2023.10064558

Automated structural discontinuity mapping in a rock face occluded by vegetation using mobile laser scanning

Singh, Sarvesh Kumar, Raval, Simit and Banerjee, Bikram Pratap. 2021. "Automated structural discontinuity mapping in a rock face occluded by vegetation using mobile laser scanning." Engineering Geology. 285. https://doi.org/10.1016/j.enggeo.2021.106040

Automated rock mass discontinuity set characterisation using amplitude and phase decomposition of point cloud data

Singh, Sarvesh Kumar, Banerjee, Bikram Pratap, Lato, Matthew J., Sammut, Claude and Raval, Simit. 2022. "Automated rock mass discontinuity set characterisation using amplitude and phase decomposition of point cloud data." International Journal of Rock Mechanics and Mining Sciences. 152, pp. 1-17. https://doi.org/10.1016/j.ijrmms.2022.105072

Three-Dimensional Unique-Identifier-Based Automated Georeferencing and Coregistration of Point Clouds in Underground Mines

Singh, Sarvesh Kumar, Banerjee, Bikram Pratap and Raval, Simit. 2021. "Three-Dimensional Unique-Identifier-Based Automated Georeferencing and Coregistration of Point Clouds in Underground Mines." Remote Sensing. 13 (16). https://doi.org/10.3390/rs13163145

Roof bolt identification in underground coal mines from 3D point cloud data using local point descriptors and artificial neural network

Singh, Sarvesh Kumar, Raval, Simit and Banerjee, Bikram. 2020. "Roof bolt identification in underground coal mines from 3D point cloud data using local point descriptors and artificial neural network." International Journal of Remote Sensing. 42 (1), pp. 367-377. https://doi.org/10.1080/2150704x.2020.1809734

Evaluation of Segmentation Methods for Spoil Pile Delineation Using UAV Images

Thiruchittampalam, S., Banerjee, B. P., Singh, S. K., Glenn, N. F. and Raval, S.. 2023. "Evaluation of Segmentation Methods for Spoil Pile Delineation Using UAV Images." IGARSS 2023-2023 IEEE International Geoscience and Remote Sensing Symposium. United States. IEEE (Institute of Electrical and Electronics Engineers). https://doi.org/10.1109/IGARSS52108.2023.10283351

Dissecting Physiological and Agronomic Diversity in Safflower Populations Using Proximal Phenotyping

Thoday-Kennedy, Emily, Banerjee, Bikram, Panozzo, Joe, Maharjan, Pankaj, Hudson, David, Spangenberg, German, Hayden, Matthew and Kant, Surya. 2023. "Dissecting Physiological and Agronomic Diversity in Safflower Populations Using Proximal Phenotyping." Agriculture. 13 (3). https://doi.org/10.3390/agriculture13030620

Fusion of Spectral and Structural Information from Aerial Images for Improved Biomass Estimation

Banerjee, Bikram Pratap, Spangenberg, German and Kant, Surya. 2020. "Fusion of Spectral and Structural Information from Aerial Images for Improved Biomass Estimation." Remote Sensing. 12 (19). https://doi.org/10.3390/rs12193164

A Particle Swarm Optimization Based Approach to Pre-tune Programmable Hyperspectral Sensors

Banerjee, Bikram Pratap and Raval, Simit. 2021. "A Particle Swarm Optimization Based Approach to Pre-tune Programmable Hyperspectral Sensors." Remote Sensing. 13 (16). https://doi.org/10.3390/rs13163295

Machine Learning Regression Analysis for Estimation of Crop Emergence Using Multispectral UAV Imagery

Banerjee, Bikram P., Sharma, Vikas, Spangenberg, German and Kant, Surya. 2021. "Machine Learning Regression Analysis for Estimation of Crop Emergence Using Multispectral UAV Imagery." Remote Sensing. 13 (15). https://doi.org/10.3390/rs13152918

Estimating early season growth and biomass of field pea for selection of divergent ideotypes using proximal sensing

Tefera, Abeya Temesgen, Banerjee, Bikram Pratap, Pandey, Babu Ram, James, Laura, Puri, Ramesh Raj, Cooray, Onella, Marsh, Jasmine, Richards, Mark, Kant, Surya, Fitzgerald, Glenn J. and Cooray, Onella. 2022. "Estimating early season growth and biomass of field pea for selection of divergent ideotypes using proximal sensing." Field Crops Research. 277. https://doi.org/10.1016/j.fcr.2021.108407

Roots’ Drought Adaptive Traits in Crop Improvement

Shoaib, Mirza, Banerjee, Bikram P., Hayden, Matthew and Kant, Surya. 2022. "Roots’ Drought Adaptive Traits in Crop Improvement." Plants. 11 (17). https://doi.org/10.3390/plants11172256

CBM: An IoT Enabled LiDAR Sensor for In-Field Crop Height and Biomass Measurements

Banerjee, Bikram Pratap, Spangenberg, German and Kant, Surya. 2021. "CBM: An IoT Enabled LiDAR Sensor for In-Field Crop Height and Biomass Measurements." Biosensors. 12 (1), pp. 1-19. https://doi.org/10.3390/bios12010016

High-resolution mapping of upland swamp vegetation using an unmanned aerial vehicle-hyperspectral system

Banerjee, Bikram Pratap, Raval, Simit and Cullen, Patrick Joseph. 2017. "High-resolution mapping of upland swamp vegetation using an unmanned aerial vehicle-hyperspectral system." Journal of Spectral Imaging. 6 (1). https://doi.org/10.1255/jsi.2017.a6

Health condition assessment for vegetation exposed to heavy metal pollution through airborne hyperspectral data

Banerjee, Bikram Pratap, Raval, Simit, Zhai, Hao and Cullen, Patrick Joseph. 2017. "Health condition assessment for vegetation exposed to heavy metal pollution through airborne hyperspectral data." Environmental Monitoring and Assessment. 189 (12). https://doi.org/10.1007/s10661-017-6333-4

Evaluation of rainfall and wetland water area variability at Thirlmere Lakes using Landsat time-series data

Banerjee, B. P., Raval, S. and Timms, W.. 2016. "Evaluation of rainfall and wetland water area variability at Thirlmere Lakes using Landsat time-series data." International Journal of Environmental Science and Technology. 13, p. 1781–1792. https://doi.org/10.1007/s13762-016-1018-z

Evaluation of a UAV-LiDAR system for mapping geological structures in an open pit highwall

Raval, S, Banerjee, B P, Shen, X, Masoumi, H and Tannant, D. 2018. "Evaluation of a UAV-LiDAR system for mapping geological structures in an open pit highwall." The 4th Australasian Ground Control in Mining Conference (AusRock). Sydney, Australia 28 - 30 Nov 2018 https://www.ausimm.com/publications/conference-proceedings/the-fourth-australasian-ground-control-in-mining-conference-ausrock/evaluation-of-a-uav-lidar-system-for-mapping-geological-structures-in-an-open-pit-highwall/.

Predictive Assessment of Forest Fire Risk in the Hindu Kush Himalaya (HKH) Region Using HIWAT Data Integration

Thapa, Sunil, Maraseni, Tek, Dhonju, Hari Krishna, Shakya, Kiran, Shakya, Bikram, Apan, Armando and Banerjee, Bikram. 2025. "Predictive Assessment of Forest Fire Risk in the Hindu Kush Himalaya (HKH) Region Using HIWAT Data Integration." Remote Sensing. 17 (13). https://doi.org/10.3390/rs17132255

A systematic review of machine learning-based remote sensing data analysis for geological and mined materials characterisation

Thiruchittampalam, Sureka, Banerjee, Bikram Pratap, Glenn, Nancy F and Raval, Simit. 2025. "A systematic review of machine learning-based remote sensing data analysis for geological and mined materials characterisation." European Journal of Remote Sensing. 58 (1). https://doi.org/10.1080/22797254.2025.2524622

Spatiotemporal dynamics and key climatic influences on vegetation resilience in opencast coal mine dumps after restoration

Wang, Hui, Zhang, Chengye, Ding, Yaxin, Li, Feiyue, Liu, Wanxi, Ma, Yan, Guo, Yingjie, Banerjee, Bikram and Li, Jun. 2025. "Spatiotemporal dynamics and key climatic influences on vegetation resilience in opencast coal mine dumps after restoration." International Journal of Applied Earth Observation and Geoinformation. 141. https://doi.org/10.1016/j.jag.2025.104646

An evaluation of calibrated and uncalibrated high-resolution RGB data in time series analysis for coal spoil characterisation: A comparative study

Thiruchittampalam, Sureka, Banerjee, Bikram Pratap, Glenn, Nancy F. and Raval, Simit. 2025. "An evaluation of calibrated and uncalibrated high-resolution RGB data in time series analysis for coal spoil characterisation: A comparative study." International Journal of Coal Science and Technology. 12. https://doi.org/10.1007/s40789-025-00783-4

Evaluating segmentation methods for UAV-Based Spoil Pile Delineation

Thiruchittampalam, Sureka, Banerjee, Bikram Pratap, Glenn, Nancy F and Raval, Simit. 2025. "Evaluating segmentation methods for UAV-Based Spoil Pile Delineation." Scientific Reports. 15. https://doi.org/10.1038/s41598-024-77616-y

An Automated Identification Method of Disturbance Ranges of Surface Coal Mines on Vegetation Based on the Fitting of NDVI Spatial Trajectory

Peng, C., Li, Q., Li, J., Kang, H., Zhang, C., Tang, J. and Banerjee, B.. 2025. "An Automated Identification Method of Disturbance Ranges of Surface Coal Mines on Vegetation Based on the Fitting of NDVI Spatial Trajectory." Land Degradation and Development. 36 (7), pp. 2458-2473. https://doi.org/10.1002/ldr.5508

Comparative analysis of traditional and transfer learning algorithms for coal spoil classification via close-range imagery

Thiruchittampalam, Sureka, Shanmugalingam, Kuruparan, Banerjee, Bikram P, Glenn, Nancy F. and Raval, Simit. 2025. "Comparative analysis of traditional and transfer learning algorithms for coal spoil classification via close-range imagery." Georisk: assessment and management of risk for engineered systems and geohazards. 19 (2), pp. 267-284. https://doi.org/10.1080/17499518.2024.2422490

Granular characterisation of coal spoil dump using unmanned aerial vehicle data to enhance stability analysis

Thiruchittampalam, Sureka, Banerjee, Bikram Pratap, Glenn, Nancy Fraser, McQuillan, Alison and Raval, Simit. 2024. "Granular characterisation of coal spoil dump using unmanned aerial vehicle data to enhance stability analysis." Journal of Rock Mechanics and Geotechnical Engineering. https://doi.org/10.1016/j.jrmge.2024.09.044

Integrative approaches in modern agriculture: IoT, ML and AI for disease forecasting amidst climate change

Delfani, Payam, Thuraga, Vishnukiran, Banerjee, Bikram and Chawade, Aakash. 2024. "Integrative approaches in modern agriculture: IoT, ML and AI for disease forecasting amidst climate change." Precision Agriculture. 25, pp. 2589-2613. https://doi.org/10.1007/s11119-024-10164-7

Applying a solar model to LiDAR images of an agrivoltaic pear orchard

Bonzi, L., Scalisi, A., O'Connell, M.G., Banerjee, B.P., Rallo, G., Remorini, D., Valluri, N. and Goodwin, I.. 2024. "Applying a solar model to LiDAR images of an agrivoltaic pear orchard." O'Connell, M. (ed.) II International Symposium on Precision Management of Orchards and Vineyards. Tatura, Australia 03 - 08 Dec 2023 Australia. https://doi.org/10.17660/ActaHortic.2024.1395.15

Unlocking precision horticulture through machine learning-driven 3D canopy analysis

Banerjee, B.P., Scalisi, A., Valluri, N., Bonzi, L., O'Connell, M.G., Fitzgerald, G.J. and Goodwin, I.. 2024. "Unlocking precision horticulture through machine learning-driven 3D canopy analysis." O'Connell, M. (ed.) II International Symposium on Precision Management of Orchards and Vineyards. Tatura, Australia 03 - 08 Dec 2023 Australia. https://doi.org/10.17660/ActaHortic.2024.1395.13