Remote Sensing and LiDAR Applications
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Scope of this subject
This cluster of papers focuses on the use of Lidar remote sensing technology for mapping and assessing various forest attributes such as carbon stocks, aboveground biomass, tree height, and canopy structure at global and regional scales. The papers cover techniques like airborne and terrestrial laser scanning, data fusion, individual tree detection, and biomass estimation, highlighting the importance of Lidar in sustainable forest management and ecological research.
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Research vocabulary
airborne laser scanning; terrestrial laser scanning; forest canopy; canopy height; tree height estimation; canopy height model; aboveground biomass estimation; forest biomass estimation; UAV LiDAR; remote sensing of forests; GEDI; ICESat-2; point cloud classification; tree species classification; full-waveform LiDAR; forest aboveground biomass; spaceborne lidar; biomass mapping; tree detection; individual tree detection; point cloud filtering; forest canopy structure; hemispherical photography; carbon stock estimation; forest carbon monitoring
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No owner-reviewed answer has been published for this exact subject page. This is a gap in this collection; it does not establish that the answer is unavailable elsewhere.
Numeric address and provenance
Morton address: 36240506695092791 · morton4x16-v1
Coordinates: (3, 23, 2305, 11164). The address interleaves categorical identifier bits. Nearby addresses are not guaranteed to describe semantically similar subjects.
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