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Full-Text Articles in Forest Sciences
Mapping Forest Structure In Mississippi Using Lidar Remote Sensing, Nitant Rai
Mapping Forest Structure In Mississippi Using Lidar Remote Sensing, Nitant Rai
Theses and Dissertations
This study aimed at evaluating the agreement of spaceborne Light Detection and Ranging (lidar) ICESat-2 canopy height with Airborne Laser Scanning (ALS) derived canopy height to inform about the performance of ICESat-2 canopy height metrics and understand its uncertainties and utilities. The agreement was assessed for different forest types, physiographic regions, a range of percent canopy cover, and diverse disturbance histories. Results of this study suggest that best agreements are found using strong beam data collected at night for canopy height retrieval using ICESat-2. The ICESat-2 showed great potential for estimating canopy heights, particularly in evergreen forests with high canopy …
Ash Tree Identification Based On The Integration Of Hyperspectral Imagery And High-Density Lidar Data, Haijian Liu
Ash Tree Identification Based On The Integration Of Hyperspectral Imagery And High-Density Lidar Data, Haijian Liu
Theses and Dissertations
Monitoring and management of ash trees has become particularly important in recent years due to the heightened risk of attack from the invasive pest, the emerald ash borer (EAB). However, distinguishing ash from other deciduous trees can be challenging. Both hyperspectral imagery and Light detection and ranging (LiDAR) data are two valuable data sources that are often used for tree species classification. Hyperspectral imagery measures detailed spectral reflectance related to the biochemical properties of vegetation, while LiDAR data measures the three-dimensional structure of tree crowns related to morphological characteristics. Thus, the accuracy of vegetation classification may be improved by combining …