Lauri Korhonen

Environmental Engineering · 2007–2017

A researcher in the Science corpus: 6 papers; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Lauri Korhonen trusts overall

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

  1. Jari Vauhkonen
  2. Erik Næsset
  3. Silvia L. P. Ferrari
  4. Johan Holmgren
  5. Sorin C. Popescu
  6. R. Dennis Cook
  7. Matti Maltamo
  8. Jussi Peuhkurinen
  9. Wei Yao
  10. Shijun Tang

Who trusts Lauri Korhonen overall

  1. Krishna P. Poudel
  2. Hailemariam Temesgen
  3. Abdulhakim M. Abdi

Papers from Lauri Korhonen's perspective

Ordered by how strongly the researchers Lauri Korhonen 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. Effects of pulse density on predicting characteristics of individual trees of Scandinavian commercial species using alpha shape metrics based on airborne laser scanning data
  3. 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)
  4. A voxel-based lidar method for estimating crown base height for deciduous and pine trees
  5. Practical large-scale forest stand inventory using a small-footprint airborne scanning laser
  6. Comparing individual tree detection and the area-based statistical approach for the retrieval of forest stand characteristics using airborne laser scanning in Scots pine stands
  7. Predicting forest stand characteristics with airborne scanning laser using a practical two-stage procedure and field data
  8. Estimating crown base height for Scots pine by means of the 3D geometry of airborne laser scanning data
  9. Prediction of tree height, basal area and stem volume in forest stands using airborne laser scanning
  10. Capturing tree crown formation through implicit surface reconstruction using airborne lidar data

Their papers