Kim Calders
Environmental Engineering · 2015–2020
A researcher in the Science corpus: 6 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Environmental Engineering — 30 citations into it
- Computer Vision and Pattern Recognition — 7 citations into it
- Geology — 6 citations into it
- Computational Mechanics — 5 citations into it
Whom Kim Calders trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- William N. Venables
- Francesco Chianucci
- Youngryel Ryu
- Pasi Raumonen
- Radu Bogdan Rusu
- Craig Macfarlane
- Marie Weiss
- William Woodgate
- Kevin Tansey
- B. D. Ripley
Who trusts Kim Calders overall
Papers from Kim Calders's perspective
Ordered by how strongly the researchers Kim Calders trusts endorse each paper. Same corpus, a different order for every researcher.
- Development and testing of allometric equations for estimating above-ground biomass of mixed-species environmental plantings
- Improved allometric models to estimate the aboveground biomass of tropical trees (Global Change Biology)
- Benchmark map of forest carbon stocks in tropical regions across three continents (Proceedings of the National Academy of Sciences of the United States of America)
- A Simplex Method for Function Minimization
- A Method for Registration of 3-D Shapes
- Fast Automatic Precision Tree Models from Terrestrial Laser Scanner Data (Remote Sensing)
- Estimating tree and stand variables in a Corsican Pine woodland from terrestrial laser scanner data
- Rate of tree carbon accumulation increases continuously with tree size (Nature)
- Forests and Climate Change: Forcings, Feedbacks, and the Climate Benefits of Forests (Science)
- Automatic Stem Mapping Using Single-Scan Terrestrial Laser Scanning (IEEE Transactions on Geoscience and Remote Sensing)
Their papers
- Tree species classification using structural features derived from terrestrial laser scanning (2020) — 88 citations
- Time for a Plant Structural Economics Spectrum (2019) — 68 citations
- Leaf and wood classification framework for terrestrial LiDAR point clouds (2019) — 170 citations
- Variability and bias in active and passive ground-based measurements of effective plant, wood and leaf area index (2018) — 70 citations
- Nondestructive estimates of above‐ground biomass using terrestrial laser scanning (2015) — 626 citations
- SimpleTree —An Efficient Open Source Tool to Build Tree Models from TLS Clouds (2015) — 331 citations