Record link: 
http://hdl.handle.net/20.500.12708/220088
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Title: 
Optimizing Tree Species Classification by Evaluating Grid Configuration, Object-Based Approaches, and Feature Selection in Indian Mixed Forests
en
Citation: 
Ali, M., Biswas, A., Lohani, B., Hollaus, M., Iglseder, A., & Pfeifer, N. (2025, September 30). Optimizing Tree Species Classification by Evaluating Grid Configuration, Object-Based Approaches, and Feature Selection in Indian Mixed Forests [Conference Presentation]. SilviLaser25, Quebec City, Canada. http://hdl.handle.net/20.500.12708/220088
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Publication Type: 
Presentation - Conference Presentation
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Language: 
English
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Authors: 
Ali, Moonis 
Biswas, Apratim 
Lohani, Bharat 
Hollaus, Markus 
Iglseder, Anna 
Pfeifer, Norbert 
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Organisational Unit: 
E120-07 - Forschungsbereich Photogrammetrie 
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Date (published): 
30-Sep-2025
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Event name: 
SilviLaser25 
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Event date: 
29-Sep-2025 - 3-Oct-2025
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Event place: 
Quebec City, Canada
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Keywords: 
Tree Species Classification; Object-Based Classification; Grid-Based Classification; LiDAR; Feature Analysis
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Research Areas: 
Environmental Monitoring and Climate Adaptation: 100%
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Science Branch: 
2074 - Geodäsie, Vermessungswesen: 70%
1020 - Informatik: 15%
1054 - Physische Geographie: 15%
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Appears in Collections:
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