Juho Pitkänen
Nature and Landscape Conservation · 2001–2014
A researcher in the Science corpus: 6 papers; trusts 13 researchers and is trusted by 11 researchers here, as inferred from the citation graph.
Subfields
- Nature and Landscape Conservation — 44 citations into it; #2,985 of 6,941 by trust here, #2,469 by citations
- Environmental Engineering — 40 citations into it; #940 of 5,479 by trust here, #721 by citations
- Insect Science — 32 citations into it; #1,075 of 2,259 by trust here, #665 by citations
- Statistics and Probability — 5 citations into it
Whom Juho Pitkänen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Erik Næsset
- Matti Maltamo
- Petteri Packalen
- N. Crookston
- Jari Vauhkonen
- David Ruppert
- Eric R. Ziegel
- G. Duduman
- N. Sugiura
Who trusts Juho Pitkänen overall
- Yinghai Ke
- Michael Gebreslasie
- Lindi J. Quackenbush
- Fethi B. Ahmed
- Matti Maltamo
- Jia Zhou
- J. V. van Aardt
- F. Blakeway
- Jari Vauhkonen
Papers from Juho Pitkänen's perspective
Ordered by how strongly the researchers Juho Pitkänen 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
- DEM Generation from Laser Scanner Data Using Adaptive TIN Models
- Imputation of single-tree attributes using airborne laser scanning-based height, intensity, and alpha shape metrics
- 3D segmentation of single trees exploiting full waveform LIDAR data
- Functions for estimating stem diameter and tree age using tree height, crown width and existing stand database information
- 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
- Predicting individual tree attributes from airborne laser point clouds based on the random forests technique
- The Elements of Statistical Learning: Data Mining, Inference, and Prediction
- Nearest neighbor imputation of species-level, plot-scale forest structure attributes from LiDAR data
Their papers
- Comparison of airborne laser scanning methods for estimating forest structure indicators based on Lorenz curves (2014) — 52 citations
- Predicting the spatial pattern of trees by airborne laser scanning (2013) — 49 citations
- An International Comparison of Individual Tree Detection and Extraction Using Airborne Laser Scanning (2012) — 499 citations
- Comparative testing of single-tree detection algorithms under different types of forest (2011) — 390 citations
- Estimation of timber volume and stem density based on scanning laser altimetry and expected tree size distribution functions (2004) — 362 citations
- Individual tree detection in digital aerial images by combining locally adaptive binarization and local maxima methods (2001) — 114 citations