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Investigating the Impacts of Tree Allometry on Lidar-Based Tree Aboveground Biomass Model Performance
|2015-05-ma-fang_r.pdf||Version for non-UH users. Copying/Printing is not permitted||26.42 MB||Adobe PDF||View/Open|
|2015-05-ma-fang_uh.pdf||For UH users only||27.27 MB||Adobe PDF||View/Open|
|Title:||Investigating the Impacts of Tree Allometry on Lidar-Based Tree Aboveground Biomass Model Performance|
|Contributors:||Chen, Qi (advisor)|
Geography and Environment (department)
|Date Issued:||May 2015|
|Publisher:||[Honolulu] : [University of Hawaii at Manoa], [May 2015]|
|Abstract:||Airborne light detection and ranging (LiDAR) canopy height metrics are strong parameters for tree aboveground biomass (AGB) estimates. Since allometric models, in which tree diameter at breast height (DBH) and height are inputs, provide field AGB estimates in the LiDAR-AGB modeling processes, tree allometry is expected to impact the LiDAR-AGB model performance. The first objective of this study is to investigate how the tree height-DBH model fit impacts the LiDAR-AGB model performance. The second objective is to test how choices of allometric models for field AGB estimates influence the LiDAR-AGB model performance. A field data and simulation combined approach was employed. The primary findings showed that decline in the height-DBH model fit led to reduction in the LiDAR-AGB model performance. The secondary findings suggested that the LiDAR-AGB models developed from field AGB estimates based on both tree height and DBH outperformed models developed from field AGB estimates only based DBH.|
|Description:||MA University of Hawaii at Manoa 2015|
Includes bibliographical references (leaves 37–39).
|Pages/Duration:||vi, 39 leaves|
|Rights:||All UHM dissertations and theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission from the copyright owner.|
|Appears in Collections:||
M.A. - Geography|
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