Petteri Packalen
Nature and Landscape Conservation · 2006–2017
A researcher in the Science corpus: 15 papers; trusts 48 researchers and is trusted by 22 researchers here, as inferred from the citation graph.
Subfields
- Nature and Landscape Conservation — 104 citations into it; #580 of 6,941 by trust here, #1,367 by citations
- Environmental Engineering — 99 citations into it; #453 of 5,479 by trust here, #496 by citations
- Insect Science — 64 citations into it; #389 of 2,259 by trust here, #572 by citations
- Ecology — 33 citations into it; #3,630 of 10,717 by trust here, #4,893 by citations
- Global and Planetary Change — 28 citations into it
- Statistics and Probability — 21 citations into it
- Plant Science — 16 citations into it
- Evaluation & Benchmarks — 8 citations into it
Whom Petteri Packalen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Erik Næsset
- Matti Maltamo
- N. Crookston
- David Ruppert
- Trevor J. Hastie
- Vladimir Naumovich Vapni
- Jari Vauhkonen
- Robert Martin Haralick
- Johannes Breidenbach
- Andy Liaw
Who trusts Petteri Packalen overall
- Ruben Valbuena
- Matti Maltamo
- Jari Vauhkonen
- Erik Næsset
- Johannes Breidenbach
- Juho Pitkänen
- Arne Nothdurft
- Zhen Zhen
- Jussi Peuhkurinen
- Hooman Latifi
Papers from Petteri Packalen's perspective
Ordered by how strongly the researchers Petteri Packalen trusts endorse each paper. Same corpus, a different order for every researcher.
- Random Forests
- Imputation of single-tree attributes using airborne laser scanning-based height, intensity, and alpha shape metrics
- 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
- The Nature of Statistical Learning Theory
- Predicting forest stand characteristics with airborne scanning laser using a practical two-stage procedure and field data
- Functions for estimating stem diameter and tree age using tree height, crown width and existing stand database information
- The Elements of Statistical Learning
- Prediction of species specific forest inventory attributes using a nonparametric semi-individual tree crown approach based on fused airborne laser scanning and multispectral data
- The Elements of Statistical Learning: Data Mining, Inference, and Prediction
Their papers
- Comparison of Sentinel-2 and Landsat 8 in the estimation of boreal forest canopy cover and leaf area index (2017) — 328 citations
- Key structural features of Boreal forests may be detected directly using L-moments from airborne lidar data (2017) — 73 citations
- Comparison of airborne laser scanning methods for estimating forest structure indicators based on Lorenz curves (2014) — 52 citations
- Characterizing forest structural types and shelterwood dynamics from Lorenz-based indicators predicted by airborne laser scanning (2013) — 62 citations
- Predicting the spatial pattern of trees by airborne laser scanning (2013) — 49 citations
- Variable selection strategies for nearest neighbor imputation methods used in remote sensing based forest inventory (2012) — 96 citations
- Diversity and equitability ordering profiles applied to study forest structure (2012) — 99 citations
- Comparative testing of single-tree detection algorithms under different types of forest (2011) — 390 citations
- Non-parametric prediction of diameter distributions using airborne laser scanner data (2009) — 64 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
- Combining ALS and NFI training data for forest management planning: a case study in Kuortane, Western Finland (2009) — 90 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
- Estimation of stem volume using laser scanning-based canopy height metrics (2006) — 196 citations
- Nonparametric estimation of stem volume using airborne laser scanning, aerial photography, and stand-register data (2006) — 185 citations