Jari Vauhkonen

Environmental Engineering · 2008–2016

A researcher in the Science corpus: 10 papers; trusts 31 researchers and is trusted by 20 researchers here, as inferred from the citation graph.

Subfields

Whom Jari Vauhkonen trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Matti Maltamo
  2. Johan Holmgren
  3. Sorin C. Popescu
  4. Erik Næsset
  5. Juha Hyyppä
  6. Petteri Packalen
  7. Trevor Moffiet
  8. Hirotugu Akaike
  9. Debasis Sengupta
  10. Kaiguang Zhao

Who trusts Jari Vauhkonen overall

  1. Zhen Zhen
  2. Matti Maltamo
  3. Lauri Korhonen
  4. Jussi Peuhkurinen
  5. Lindi J. Quackenbush
  6. Petteri Packalen
  7. Eva Lindberg
  8. Johan Holmgren
  9. Lianjun Zhang
  10. Hooman Latifi

Papers from Jari Vauhkonen's perspective

Ordered by how strongly the researchers Jari Vauhkonen trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Imputation of single-tree attributes using airborne laser scanning-based height, intensity, and alpha shape metrics
  2. Estimation of timber volume and stem density based on scanning laser altimetry and expected tree size distribution functions
  3. DEM Generation from Laser Scanner Data Using Adaptive TIN Models
  4. 3D segmentation of single trees exploiting full waveform LIDAR data
  5. Functions for estimating stem diameter and tree age using tree height, crown width and existing stand database information
  6. Prediction of species specific forest inventory attributes using a nonparametric semi-individual tree crown approach based on fused airborne laser scanning and multispectral data
  7. Effects of pulse density on predicting characteristics of individual trees of Scandinavian commercial species using alpha shape metrics based on airborne laser scanning data
  8. The single tree-based stand simulator SILVA: construction, application and evaluation
  9. A segmentation-based method to retrieve stem volume estimates from 3-D tree height models produced by laser scanners (IEEE Transactions on Geoscience and Remote Sensing)
  10. Airborne laser scanning: Exploratory data analysis indicates potential variables for classification of individual trees or forest stands according to species

Their papers