Timo Tokola
Environmental Engineering · 2005–2014
A researcher in the Science corpus: 8 papers; trusts 11 researchers and is trusted by 23 researchers here, as inferred from the citation graph.
Subfields
- Environmental Engineering — 53 citations into it; #520 of 5,479 by trust here, #611 by citations
- Nature and Landscape Conservation — 52 citations into it; #669 of 6,941 by trust here, #1,600 by citations
- Insect Science — 44 citations into it; #242 of 2,259 by trust here, #440 by citations
- Statistics and Probability — 10 citations into it
- Ecology — 7 citations into it
Whom Timo Tokola trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Erik Næsset
- Johan Holmgren
- Harvey Goldstein
- Hirotugu Akaike
- Debasis Sengupta
- Matti Maltamo
- Juha Hyyppä
- Jari Vauhkonen
- Robert Martin Haralick
- Paul Beier
Who trusts Timo Tokola overall
- Matti Maltamo
- Jari Vauhkonen
- Zhen Zhen
- Jussi Peuhkurinen
- Xiaowei Yu
- Eva Lindberg
- Lauri Korhonen
- Lindi J. Quackenbush
- Johan Holmgren
- Petteri Packalen
Papers from Timo Tokola's perspective
Ordered by how strongly the researchers Timo Tokola trusts endorse each paper. Same corpus, a different order for every researcher.
- Estimation of timber volume and stem density based on scanning laser altimetry and expected tree size distribution functions
- Imputation of single-tree attributes using airborne laser scanning-based height, intensity, and alpha shape metrics
- Functions for estimating stem diameter and tree age using tree height, crown width and existing stand database information
- 3D segmentation of single trees exploiting full waveform LIDAR data
- The single tree-based stand simulator SILVA: construction, application and evaluation
- Prediction of species specific forest inventory attributes using a nonparametric semi-individual tree crown approach based on fused airborne laser scanning and multispectral data
- Practical large-scale forest stand inventory using a small-footprint airborne scanning laser
- DEM Generation from Laser Scanner Data Using Adaptive TIN Models
- Modern Applied Statistics With S
- 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)
Their papers
- Calibration of area based diameter distribution with individual tree based diameter estimates using airborne laser scanning (2014) — 50 citations
- Comparative testing of single-tree detection algorithms under different types of forest (2011) — 390 citations
- Imputation of single-tree attributes using airborne laser scanning-based height, intensity, and alpha shape metrics (2010) — 239 citations
- Range and AGC normalization in airborne discrete-return LiDAR intensity data for forest canopies (2010) — 127 citations
- Predicting Tree Attributes and Quality Characteristics of Scots Pine Using Airborne Laser Scanning Data (2009) — 130 citations
- Identification of Scandinavian Commercial Species of Individual Trees from Airborne Laser Scanning Data Using Alpha Shape Metrics (2009) — 102 citations
- Effects of pulse density on predicting characteristics of individual trees of Scandinavian commercial species using alpha shape metrics based on airborne laser scanning data (2008) — 63 citations
- Functions for estimating stem diameter and tree age using tree height, crown width and existing stand database information (2005) — 164 citations