Quantifying The Urban Forest Environment Using Dense Discrete Return Lidar And Aerial Color Imagery For Segmentation And Object-Level Biomass Assessment
- - Classical And Modern Physics
- - Computer And It: Science And Engineering
- - Construction And Civil Engineering
- - Earth, Geography And Geological Sciences
- - Ecology And Environmental Science
- - Educational Learning, Policy And Curriculcum Development
- - Electronic And Communication Technologies & Power Engineering
- - Finance, Business And Economics
- - Food, Health And Nutrition Studies
- - Governance, Politics And Policy Studies
- - History, Heritage And Archaeology
- - Integrative Life Sciences
- - Language Science: Literary & Linguistic Studies
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- - Mechanical And Industrial Systems Engineering
- - Media Studies And Journalism
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- - Philosophy: Ethics And Humanities
- - Plant Biology And Agriculture
- - Psychological Sciences
- - Pure And Applied Chemistry
- - Pure And Applied Mathematics
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Quantifying The Urban Forest Environment Using Dense Discrete Return Lidar And Aerial Color Imagery For Segmentation And Object-Level Biomass Assessment