Ole Martin Bollandsås

Nature and Landscape Conservation · 2005–2015

A researcher in the Science corpus: 7 papers; trusts 11 researchers and is trusted by 28 researchers here, as inferred from the citation graph.

Subfields

Whom Ole Martin Bollandsås trusts overall

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

  1. Erik Næsset
  2. Matti Maltamo
  3. Annika S. Kangas
  4. Tron Eid
  5. Terje Gobakken
  6. Jari Hynynen
  7. Kalle Eerikäinen
  8. Johan Holmgren
  9. N. Lexerød
  10. Juha Hyyppä

Who trusts Ole Martin Bollandsås overall

  1. Erik Næsset
  2. Matti Maltamo
  3. Ruben Valbuena
  4. Eva Lindberg
  5. Terje Gobakken
  6. T. Pukkala
  7. Aaron Weiskittel
  8. Johan Holmgren
  9. Jari Vauhkonen
  10. Petteri Packalen

Papers from Ole Martin Bollandsås's perspective

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

  1. Comparison of percentile based prediction methods and the Weibull distribution in describing the diameter distribution of heterogeneous Scots pine stands
  2. Estimation of timber volume and stem density based on scanning laser altimetry and expected tree size distribution functions
  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. Combining ALS and NFI training data for forest management planning: a case study in Kuortane, Western Finland (European Journal of Forest Research)
  5. Are Lone Mothers Responsive to Policy Changes? Evidence from a Workfare Reform in a Generous Welfare State (Social Science Research Network)
  6. Modelling the diameter distribution of Pinus sylvestris, Pinus nigra and Pinus halepensis forest stands in Catalonia using the truncated Weibull function
  7. Comparative evaluation of five height–diameter models developed for black spruce and jack pine stand-types in terms of goodness-of-fit, lack-of-fit and predictive ability
  8. Performance of percentile based diameter distribution prediction and Weibull method in independent data sets
  9. Percentile based basal area diameter distribution models for Scots pine, Norway spruce and birch species.
  10. Practical large-scale forest stand inventory using a small-footprint airborne scanning laser

Their papers