Johan Holmgren

Nature and Landscape Conservation · with Olsson · 2003–2016

A researcher in the Science corpus: 8 papers; trusts 15 researchers and is trusted by 31 researchers here, as inferred from the citation graph.

Subfields

Whom Johan Holmgren trusts overall

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

  1. Erik Næsset
  2. Juha Hyyppä
  3. Matti Maltamo
  4. Jari Vauhkonen
  5. Sorin C. Popescu
  6. Terje Gobakken
  7. Johannes Breidenbach
  8. Mats B. Nilsson
  9. Ole Martin Bollandsås
  10. Trevor Moffiet

Who trusts Johan Holmgren overall

  1. Erik Næsset
  2. Terje Gobakken
  3. Jari Vauhkonen
  4. Matti Maltamo
  5. Peter Wolter
  6. Keiko Ioki
  7. Petteri Packalen
  8. L. Ruiz
  9. Lars T. Waser
  10. Timo Tokola

Papers from Johan Holmgren's perspective

Ordered by how strongly the researchers Johan Holmgren 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. 3D segmentation of single trees exploiting full waveform LIDAR data
  3. Effects of pulse density on predicting characteristics of individual trees of Scandinavian commercial species using alpha shape metrics based on airborne laser scanning data
  4. Prediction of species specific forest inventory attributes using a nonparametric semi-individual tree crown approach based on fused airborne laser scanning and multispectral data
  5. Estimation of timber volume and stem density based on scanning laser altimetry and expected tree size distribution functions
  6. The single tree-based stand simulator SILVA: construction, application and evaluation
  7. Functions for estimating stem diameter and tree age using tree height, crown width and existing stand database information
  8. DEM Generation from Laser Scanner Data Using Adaptive TIN Models
  9. Random Forests
  10. Estimating percentile-based diameter distributions in uneven-sized Norway spruce stands using airborne laser scanner data

Their papers