Landcover classification of small-footprint, full-waveform lidar data
By Amy L. Neuenschwander, Lori A. Magruder, Marcus Tyler. 2009
66 citations recorded by the source corpus.
Subfields: Ecology, Environmental Engineering, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/bbd7e876c2a43126f519ddf0c714e61153d51ba7
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Ecology
- Mathias I. Disney
- John Armston
- Karen Anderson
- Kevin J. Gaston
- A. Baselga
- Hanna Tuomisto
- Steven L. Chown
- H. Hillebrand
In Environmental Engineering
In Global and Planetary Change
- Crystal Barker Schaaf
- Mathias I. Disney
- Kevin J. Gaston
- Alan H. Strahler
- Philip Lewis
- John Armston
- Wolfgang Lucht
- Jean-Louis Roujean
Citations in the corpus
- Analysis of full-waveform LiDAR data for classification of an orange orchard scene (2013, unknown): “A Bayesian pair-wise classifier, used by Neuenschwander et al. (2009) allows evaluation of feature performance by pair-wise comparison.”
- Waveform lidar over vegetation: An evaluation of inversion methods for estimating return energy (2015, methodology): “These are more mathematically complex and computationally expensive than the linear methods (Neuenschwander et al., 2009).”
- NEON: the first continental-scale ecological observatory with airborne remote sensing of vegetation canopy biochemistry and structure (2009, background): “LiDAR are currently gaining more attention as they allow for the detection of understory structure in forested environments and give a more complete measurement of topographic vertical structure throughout the vegetation [39,40].”