Kevin Lim
Nature and Landscape Conservation · 2008
A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Nature and Landscape Conservation — 8 citations into it
- Environmental Engineering — 6 citations into it
- Insect Science — 5 citations into it
Whom Kevin Lim trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Kevin Lim overall
Papers from Kevin Lim's perspective
Ordered by how strongly the researchers Kevin Lim trusts endorse each paper. Same corpus, a different order for every researcher.
- Comparison of percentile based prediction methods and the Weibull distribution in describing the diameter distribution of heterogeneous Scots pine stands
- Effects of pulse density on predicting characteristics of individual trees of Scandinavian commercial species using alpha shape metrics based on airborne laser scanning data
- Estimation of timber volume and stem density based on scanning laser altimetry and expected tree size distribution functions
- Are Lone Mothers Responsive to Policy Changes? Evidence from a Workfare Reform in a Generous Welfare State (Social Science Research Network)
- Modelling the diameter distribution of Pinus sylvestris, Pinus nigra and Pinus halepensis forest stands in Catalonia using the truncated Weibull function
- 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
- Combining ALS and NFI training data for forest management planning: a case study in Kuortane, Western Finland (European Journal of Forest Research)
- 3D segmentation of single trees exploiting full waveform LIDAR data
- Imputation of single-tree attributes using airborne laser scanning-based height, intensity, and alpha shape metrics
- Practical large-scale forest stand inventory using a small-footprint airborne scanning laser
Their papers
- LiDAR and Weibull modeling of diameter and basal area (2008) — 61 citations
- Predicting forest stand variables from LiDAR data in the Great Lakes St. Lawrence forest of Ontario (2008) — 95 citations