Matti Maltamo

Nature and Landscape Conservation · 2000–2017

A researcher in the Science corpus: 24 papers; trusts 50 researchers and is trusted by 48 researchers here, as inferred from the citation graph.

Subfields

• Nature and Landscape Conservation — 125 citations into it; #187 of 6,941 by trust here, #622 by citations
• Environmental Engineering — 116 citations into it; #117 of 5,479 by trust here, #214 by citations
• Insect Science — 82 citations into it; #68 of 2,259 by trust here, #157 by citations
• Statistics and Probability — 24 citations into it
• Ecology — 20 citations into it; #3,738 of 10,717 by trust here, #5,318 by citations
• Global and Planetary Change — 18 citations into it; #850 of 10,225 by trust here, #4,400 by citations
• Evaluation & Benchmarks — 9 citations into it
• Artificial Intelligence — 7 citations into it

Whom Matti Maltamo trusts overall

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

1. Erik Næsset
2. Annika S. Kangas
3. Jari Vauhkonen
4. Johan Holmgren
5. Petteri Packalen
6. J. Kalliovirta
7. Terje Gobakken
8. Tron Eid
9. Robert Martin Haralick
10. Tomas Brandtberg

Who trusts Matti Maltamo overall

1. Erik Næsset
2. Jouni Siipilehto
3. Ole Martin Bollandsås
4. Petteri Packalen
5. Annika S. Kangas
6. Jari Vauhkonen
7. Terje Gobakken
8. Lauri Mehtätalo
9. Ruben Valbuena
10. Hooman Latifi

Papers from Matti Maltamo's perspective

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

1. Estimation of timber volume and stem density based on scanning laser altimetry and expected tree size distribution functions
2. Random Forests
3. Imputation of single-tree attributes using airborne laser scanning-based height, intensity, and alpha shape metrics
4. DEM Generation from Laser Scanner Data Using Adaptive TIN Models
5. Functions for estimating stem diameter and tree age using tree height, crown width and existing stand database information
6. 3D segmentation of single trees exploiting full waveform LIDAR data
7. Effects of pulse density on predicting characteristics of individual trees of Scandinavian commercial species using alpha shape metrics based on airborne laser scanning data
8. Comparison of percentile based prediction methods and the Weibull distribution in describing the diameter distribution of heterogeneous Scots pine stands
9. Predicting forest stand characteristics with airborne scanning laser using a practical two-stage procedure and field data
10. The single tree-based stand simulator SILVA: construction, application and evaluation

Their papers

• 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
• Calibration of area based diameter distribution with individual tree based diameter estimates using airborne laser scanning (2014) — 50 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
• Comparing individual tree detection and the area-based statistical approach for the retrieval of forest stand characteristics using airborne laser scanning in Scots pine stands (2011) — 72 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
• 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
• Obtaining plotwise mean height and volume growth in boreal forests using multi‐temporal laser surveys and various change detection techniques (2008) — 65 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
• Local Models for Forest Canopy Cover with Beta Regression (2007) — 60 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
• Estimation of timber volume and stem density based on scanning laser altimetry and expected tree size distribution functions (2004) — 362 citations