Ilkka Korpela

Environmental Engineering · 2010–2016

A researcher in the Science corpus: 4 papers; trusts 3 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Environmental Engineering — 38 citations into it; #2,840 of 5,479 by trust here, #2,025 by citations
• Nature and Landscape Conservation — 32 citations into it; #3,369 of 6,941 by trust here, #3,488 by citations
• Ecology — 7 citations into it

Whom Ilkka Korpela trusts overall

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

1. Jari Vauhkonen
2. Tomas Brandtberg
3. Erik Næsset

Who trusts Ilkka Korpela overall

1. Hooman Latifi
2. Johan Holmgren
3. Jari Vauhkonen
4. Zhen Zhen
5. Wei Yao
6. Lauri Korhonen
7. Eva Lindberg

Papers from Ilkka Korpela's perspective

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

1. Imputation of single-tree attributes using airborne laser scanning-based height, intensity, and alpha shape metrics
2. 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)
3. A voxel-based lidar method for estimating crown base height for deciduous and pine trees
4. Effects of pulse density on predicting characteristics of individual trees of Scandinavian commercial species using alpha shape metrics based on airborne laser scanning data
5. 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
6. Capturing tree crown formation through implicit surface reconstruction using airborne lidar data
7. Tree species classification and estimation of stem volume and DBH based on single tree extraction by exploiting airborne full-waveform LiDAR data
8. Three-dimensional surface reconstruction of tree canopy from lidar point clouds using a region-based level set method
9. Airborne laser scanning: Exploratory data analysis indicates potential variables for classification of individual trees or forest stands according to species
10. 3D segmentation of single trees exploiting full waveform LIDAR data

Their papers

• LiDAR waveform features for tree species classification and their sensitivity to tree- and acquisition related parameters (2016) — 106 citations
• Estimation of tree crown volume from airborne lidar data using computational geometry (2013) — 66 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