Individual tree species identification using LIDAR- derived crown structures and intensity data
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چکیده
Individual tree species identification using LIDAR-derived crown structures and intensity data
منابع مشابه
Individual Tree Species Identification Using Lidar Intensity Data
Tree species identification is important for a variety of natural resource management and monitoring activities including riparian buffer characterization, wildfire risk assessment, biodiversity monitoring, and wildlife habitat assessment. Intensity data recorded for each laser point in a LIDAR system is related to the spectral reflectance of the target material and thus may be useful for diffe...
متن کاملCLASSIFYING TREE SPECIES USING STRUCTURE AND SPECTRAL DATA FROM LiDAR
Two airborne laser scanning datasets with leaf-on and leaf-off conditions were used to compare parameters derived from crown structure metrics and intensity data. Five deciduous species and six coniferous species were collected at the Washington Park Arboretum, Seattle, Washington, USA. Linear (LDA) and quadratic (QDA) discriminate functions were used to classify these selected species groups. ...
متن کاملCharacterizing the Height Structure and Composition of a Boreal Forest Using an Individual Tree Crown Approach Applied to Photogrammetric Point Clouds
Photogrammetric point clouds (PPC) obtained by stereomatching of aerial photographs now have a resolution sufficient to discern individual trees. We have produced such PPCs of a boreal forest and delineated individual tree crowns using a segmentation algorithm applied to the canopy height model derived from the PPC and a lidar terrain model. The crowns were characterized in terms of height and ...
متن کاملA voxel-based lidar method for estimating crown base height for deciduous and pine trees
The overall goal of this study was to develop methods for assessing crown base height for individual trees using airborne lidar data in forest settings typical for the southeastern United States. More specific objectives are to: (1) develop new lidar-derived features as multiband height bins and processing techniques for characterizing the vertical structure of individual tree crowns; (2) inves...
متن کاملInterpretation of Forest Resources at the Individual Tree Level in Japanese Conifer Plantations Using Airborne LiDAR Data
More than 50% of the national lands in Japan have been surveyed by airborne laser scanning (ALS) data with different point densities; and developing an effective approach to take full advantage of these ALS data for forest management has thus become an urgent topic of study. This study attempted to assess the utility of ALS data for individual tree detection and species classification in a mixe...
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تاریخ انتشار 2007