Hans Ole Ørka
Environmental Engineering · 2009–2015
A researcher in the Science corpus: 5 papers; trusts 7 researchers and is trusted by 12 researchers here, as inferred from the citation graph.
Subfields
- Environmental Engineering — 36 citations into it; #1,473 of 5,479 by trust here, #838 by citations
- Insect Science — 27 citations into it; #610 of 2,259 by trust here, #1,062 by citations
- Nature and Landscape Conservation — 25 citations into it; #2,216 of 6,941 by trust here, #2,999 by citations
- Ecology — 9 citations into it; #9,594 of 10,717 by trust here, #4,354 by citations
Whom Hans Ole Ørka trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Erik Næsset
- Johan Holmgren
- Tomislav Hengl
- Tomas Brandtberg
- Jonathan P. Dandois
- Jonathan Cheung-Wai Chan
- Matthew L. Clark
- Anil K. Jain
- Ole Martin Bollandsås
- Peng Gong
Who trusts Hans Ole Ørka overall
- Michael Alonzo
- Sooyoung Kim
- Timo Hackel
- Lars T. Waser
- Michele Dalponte
- Bodo Bookhagen
- Tetsuji Ota
- T. Hinckley
- Jan Dirk Wegner
- Edwin Raczko
Papers from Hans Ole Ørka's perspective
Ordered by how strongly the researchers Hans Ole Ørka trusts endorse each paper. Same corpus, a different order for every researcher.
- Random Forests
- A Coefficient of Agreement for Nominal Scales
- Development of a UAV-LiDAR System with Application to Forest Inventory (Remote Sensing)
- High spatial resolution three-dimensional mapping of vegetation spectral dynamics using computer vision
- Hyperspectral discrimination of tropical rain forest tree species at leaf to crown scales
- Evaluation of random forest and adaboost tree-based ensemble classification and spectral band selection for ecotope mapping using airborne hyperspectral imagery
- Practical large-scale forest stand inventory using a small-footprint airborne scanning laser
- A new search algorithm for feature selection in hyperspectral remote sensing images (IEEE Transactions on Geoscience and Remote Sensing)
- A new technique for extracting the red edge position from hyperspectral data: The linear extrapolation method
- Unmanned aerial systems for photogrammetry and remote sensing: A review
Their papers
- Inventory of Small Forest Areas Using an Unmanned Aerial System (2015) — 350 citations
- Tree crown delineation and tree species classification in boreal forests using hyperspectral and ALS data (2014) — 276 citations
- Tree Species Classification in Boreal Forests With Hyperspectral Data (2013) — 340 citations
- Range and AGC normalization in airborne discrete-return LiDAR intensity data for forest canopies (2010) — 127 citations
- Classifying species of individual trees by intensity and structure features derived from airborne laser scanner data (2009) — 280 citations