‪Saroj Kumar Sharma‬ - ‪Google Scholar‬

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Co-authors

Jagannath AryalAssociate Professor, Department of Infrastructure Engineering, The University of MelbourneVerified email at unimelb.edu.au
Abbas RajabifardThe University of Melbourne, AustraliaVerified email at unimelb.edu.au
Shirisa TimilsinaResearch Assistant, University of TasmaniaVerified email at utas.edu.au
Quanxi ShaoCSIRO DATA61Verified email at csiro.au

Saroj Kumar Sharma

Saroj Kumar Sharma

The University of Melbourne

Verified email at student.unimelb.edu.au

Quantitative Remote Sensing Machine Learning Wildfire or Bushfire Fire Severity


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Mapping urban trees within cadastral parcels using an object-based convolutional neural network S Timilsina, SK Sharma, J Aryal University Of Tasmania, 2019	34	2019
Remote sensing and meteorological data fusion in predicting bushfire severity: A case study from victoria, australia SK Sharma, J Aryal, A Rajabifard Remote Sensing 14 (7), 1645, 2022	8	2022
Leveraging Google Earth Engine (GEE) and Landsat Images to Assess Bushfire Severity and Postfire Short‐Term Vegetation Recovery: A Case Study of Victoria, Australia SK Sharma, J Aryal, A Rajabifard Advances in Remote Sensing for Forest Monitoring, 196-220, 2022	5	2022
Characterizing Topographic Influences of Bushfire Severity Using Machine Learning Models: A Case Study in a Hilly Terrain of Victoria, Australia SK Sharma, J Aryal, Q Shao, A Rajabifard IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2023	2	2023

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