Eva Lindberg
Environmental Engineering · 2010–2021
A researcher in the Science corpus: 4 papers; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Environmental Engineering — 33 citations into it
- Insect Science — 30 citations into it
- Nature and Landscape Conservation — 30 citations into it
Whom Eva Lindberg trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Erik Næsset
- Matti Maltamo
- Jari Vauhkonen
- Juha Hyyppä
- Ole Martin Bollandsås
- Terje Gobakken
- Hans-Gerd Maas
- Michael Thies *
- Kalle Eerikäinen
- R. Fisher
Who trusts Eva Lindberg overall
Papers from Eva Lindberg's perspective
Ordered by how strongly the researchers Eva Lindberg trusts endorse each paper. Same corpus, a different order for every researcher.
- 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
- Estimation of timber volume and stem density based on scanning laser altimetry and expected tree size distribution functions
- Effects of pulse density on predicting characteristics of individual trees of Scandinavian commercial species using alpha shape metrics based on airborne laser scanning data
- DEM Generation from Laser Scanner Data Using Adaptive TIN Models
- Estimating percentile-based diameter distributions in uneven-sized Norway spruce stands using airborne laser scanner data
- Comparative testing of single-tree detection algorithms under different types of forest
- 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)
- Airborne laser scanning as a method in operational forest inventory: Status of accuracy assessments accomplished in Scandinavia
- Automatic forest inventory parameter determination from terrestrial laser scanner data
Their papers
- Early detection of forest stress from European spruce bark beetle attack, and a new vegetation index: Normalized distance red & SWIR (NDRS) (2021) — 154 citations
- A Benchmark of Lidar-Based Single Tree Detection Methods Using Heterogeneous Forest Data from the Alpine Space (2015) — 226 citations
- Estimation of stem attributes using a combination of terrestrial and airborne laser scanning (2012) — 119 citations
- Estimation of tree lists from airborne laser scanning by combining single-tree and area-based methods (2010) — 76 citations