Markus Holopainen
Environmental Engineering · 2011–2018
A researcher in the Science corpus: 12 papers; trusts 10 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Environmental Engineering — 90 citations into it; #2,586 of 5,479 by trust here, #451 by citations
- Nature and Landscape Conservation — 80 citations into it; #3,203 of 6,941 by trust here, #1,802 by citations
- Insect Science — 57 citations into it; #858 of 2,259 by trust here, #367 by citations
- Global and Planetary Change — 12 citations into it
- Mechanical Engineering — 9 citations into it
Whom Markus Holopainen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Erik Næsset
- Tomas Brandtberg
- Joanne C. White
- J. Repola
- Johan Holmgren
- J. Reitberger
- Mikko Vastaranta
- Xinlian Liang
Who trusts Markus Holopainen overall
Papers from Markus Holopainen's perspective
Ordered by how strongly the researchers Markus Holopainen trusts endorse each paper. Same corpus, a different order for every researcher.
- 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)
- Automatic forest inventory parameter determination from terrestrial laser scanner data
- 3D segmentation of single trees exploiting full waveform LIDAR data
- Stem biomass estimation based on stem reconstruction from terrestrial laser scanning point clouds
- Evaluation of the Laser-relascope
- Three-dimensional reconstruction of stems for assessment of taper, sweep and lean based on laser scanning of standing trees
- Estimation of tree lists from airborne laser scanning by combining single-tree and area-based methods
- Automatic Stem Mapping Using Single-Scan Terrestrial Laser Scanning (IEEE Transactions on Geoscience and Remote Sensing)
- The structural and radiative consistency of three-dimensional tree reconstructions from terrestrial lidar
- A progressive morphological filter for removing nonground measurements from airborne LIDAR data (IEEE Transactions on Geoscience and Remote Sensing)
Their papers
- International benchmarking of terrestrial laser scanning approaches for forest inventories (2018) — 425 citations
- Assessing Precision in Conventional Field Measurements of Individual Tree Attributes (2017) — 133 citations
- SLAM-Aided Stem Mapping for Forest Inventory with Small-Footprint Mobile LiDAR (2015) — 101 citations
- Using UAV-Based Photogrammetry and Hyperspectral Imaging for Mapping Bark Beetle Damage at Tree-Level (2015) — 367 citations
- Assessment of Low Density Full-Waveform Airborne Laser Scanning for Individual Tree Detection and Tree Species Classification (2014) — 53 citations
- Outlook for the Next Generation’s Precision Forestry in Finland (2014) — 180 citations
- Fast Automatic Precision Tree Models from Terrestrial Laser Scanner Data (2013) — 788 citations
- Stem biomass estimation based on stem reconstruction from terrestrial laser scanning point clouds (2013) — 86 citations
- Combination of individual tree detection and area-based approach in imputation of forest variables using airborne laser data (2012) — 108 citations
- An International Comparison of Individual Tree Detection and Extraction Using Airborne Laser Scanning (2012) — 499 citations
- Automatic Stem Mapping Using Single-Scan Terrestrial Laser Scanning (2012) — 305 citations
- Predicting individual tree attributes from airborne laser point clouds based on the random forests technique (2011) — 379 citations