Laser Altimetry and Canopy Structure Analysis
Summary
Laser altimetry, commonly implemented via spaceborne and airborne LiDAR systems, has revolutionised the measurement of three-dimensional surface topography and vegetation canopy structure at scales from individual trees to global forest biomes. By emitting short pulses of near-infrared laser light and recording the precise travel time of returned photons, these instruments generate high-resolution elevation profiles of terrain and canopy surfaces. Satellite platforms, exemplified by missions employing photon-counting detectors, deliver systematic global coverage of land and vegetation heights, while airborne scanners integrate LiDAR returns with complementary optical and thermal data to resolve fine-scale canopy architecture, biomass distribution and habitat complexity. Advances in sensor resolution, signal processing and data fusion have enhanced the accuracy of canopy height retrievals, enabling robust estimates of forest carbon stocks, disturbance impacts and ecosystem services. Applications span climate modelling, biodiversity mapping and sustainable forest management, underscoring the global significance of laser altimetry as a tool for monitoring terrestrial ecosystems in the face of environmental change.
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Laser Altimetry and Canopy Structure Analysis publication trend
The graph below shows the total number of articles in laser altimetry and canopy structure analysis across all publications each year (not limited to Nature Index journals).
Technical terms
Laser altimetry: A remote-sensing technique that measures surface elevation by timing the return of emitted laser pulses.
LiDAR: Light Detection and Ranging, a method for obtaining high-resolution three-dimensional information about surface topography and vegetation structure.
Photon counting: A LiDAR detection mode in which individual returning photons are recorded to achieve high vertical precision in low-energy regimes.
ATL08: A standard data product providing along-track estimates of terrain and canopy heights from spaceborne photon-counting LiDAR.
Canopy height: The vertical distance between ground surface and the topmost vegetation layer, often derived by subtracting terrain elevation from first-return elevations.
Local Outlier Factor (LOF): An algorithm for detecting anomalies, adapted here to distinguish ground, canopy and noise photons based on local density metrics.
References
- A systematic evaluation of multi-resolution ICESat-2 ATL08 terrain and canopy heights in boreal forests. Remote Sensing of Environment (2023).
- ICESat-2 data classification and estimation of terrain height and canopy height. International Journal of Applied Earth Observation and Geoinformation (2023).
- The Ice, Cloud, and land Elevation Satellite-2 (ICESat-2): Science requirements, concept, and implementation. Remote Sensing of Environment (2017).
- NASA Goddard’s LiDAR, Hyperspectral and Thermal (G-LiHT) Airborne Imager. Remote Sensing (2013).
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