Standout Papers

Tree species classification from airborne... 2014 2026 2018 2022 305
  1. Tree species classification from airborne hyperspectral and LiDAR data using 3D convolutional neural networks (2021)
    Sarita Keski‐Saari, Sonja Kivinen et al. Remote Sensing of Environment
  2. Global protected area expansion is compromised by projected land-use and parochialism (2014)
    Federico Montesino Pouzols, Tuuli Toivonen et al. Nature

Immediate Impact

20 from Science/Nature 54 standout
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Citing Papers

Remote Sensing Object Detection in the Deep Learning Era—A Review
2024 Standout
Status, advancements and prospects of deep learning methods applied in forest studies
2024 Standout

Works of Peter Kullberg being referenced

Tree species classification from airborne hyperspectral and LiDAR data using 3D convolutional neural networks
2021 Standout

Author Peers

Author Last Decade Papers Cites
Peter Kullberg 313 86 170 317 10 607
William Llactayo 335 76 150 258 6 660
Shijo Joseph 484 58 198 332 28 730
Bruno Marcos 313 30 156 229 24 569
Anna Komarova 397 51 129 269 11 611
François Donnay 484 49 133 299 4 698
Rosana Cristina Grecchi 406 36 109 304 12 706
Naikoa Aguilar‐Amuchastegui 357 68 146 228 19 560
Michelle Bouchard 435 47 116 275 15 693
D. L. Peterson 301 26 173 343 15 593
Scott Bearer 268 68 166 356 15 640

All Works

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2026