Comparison of tree species classifications at the individual tree level by combining ALS data and RGB images using different algorithms
Individual tree delineation using remotely sensed data plays a very important role in
precision forestry because it can provide detailed forest information on a large scale, which
is required by forest managers. This study aimed to evaluate the utility of airborne laser
scanning (ALS) data for individual tree detection and species classification in Japanese
coniferous forests with a high canopy density. Tree crowns in the study area were first
delineated by the individual tree detection approach using a canopy height model (CHM) …
precision forestry because it can provide detailed forest information on a large scale, which
is required by forest managers. This study aimed to evaluate the utility of airborne laser
scanning (ALS) data for individual tree detection and species classification in Japanese
coniferous forests with a high canopy density. Tree crowns in the study area were first
delineated by the individual tree detection approach using a canopy height model (CHM) …
Comparison of tree species classifications at the individual tree level by combining ALS data and RGB images using different algorithms.
DSQ Deng SongQiu, M Katoh, YXW Yu XiaoWei… - 2016 - cabidigitallibrary.org
Individual tree delineation using remotely sensed data plays a very important role in
precision forestry because it can provide detailed forest information on a large scale, which
is required by forest managers. This study aimed to evaluate the utility of airborne laser
scanning (ALS) data for individual tree detection and species classification in Japanese
coniferous forests with a high canopy density. Tree crowns in the study area were first
delineated by the individual tree detection approach using a canopy height model (CHM) …
precision forestry because it can provide detailed forest information on a large scale, which
is required by forest managers. This study aimed to evaluate the utility of airborne laser
scanning (ALS) data for individual tree detection and species classification in Japanese
coniferous forests with a high canopy density. Tree crowns in the study area were first
delineated by the individual tree detection approach using a canopy height model (CHM) …
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