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Remote Sensing
Volume 18
Issue 11
10.3390/rs18111692
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This is an early access version, the complete PDF, HTML, and XML versions will be available soon.
Article

Automatic Tree Species Identification in a Cold Temperate Natural Broadleaf Mixed Forest Using High-Resolution UAV Imagery and Mask R-CNN

by
Vladislav Bukin
1,
Maximo Larry Lopez Caceres
1,*,
Yago Diez Donoso
2,
Takashi Kobayashi
1,
Le Tien Nguyen
1,
Friederich Blum
1,3,
Muhammad Iqbal Faishal
1 and
Anna Trigubenko
1
1
Faculty of Agriculture, Yamagata University, 1-23 Wakaba-machi, Tsuruoka-shi 997-8555, Japan
2
Faculty of Science, Yamagata University, 1-4-12 Kojirakawa-machi, Yamagata-shi 990-8560, Japan
3
Faculty of Natural Sciences, Leibniz University Hannover, Herrenhäuser Straße 2, 30419 Hannover, Germany
*
Author to whom correspondence should be addressed.
Remote Sens. 2026, 18(11), 1692; https://doi.org/10.3390/rs18111692 (registering DOI)
Submission received: 3 April 2026 / Revised: 20 May 2026 / Accepted: 21 May 2026 / Published: 23 May 2026
(This article belongs to the Section Forest Remote Sensing)
Versions Notes

Abstract

What are the main findings?· A new UAV-QField leaf-canopy validation approach was used to validate tree species in complex natural mixed forests.· Multi-temporal UAV imagery facilitated the manual annotation of closed canopies in mixed forests.· The multi-class and species-specific Mask R-CNN models showed differential performance for tree detection.
Keywords: deep learning; mask R-CNN; precise remote sensing; tree species classification; UAV deep learning; mask R-CNN; precise remote sensing; tree species classification; UAV

Share and Cite

MDPI and ACS Style

Bukin, V.; Caceres, M.L.L.; Donoso, Y.D.; Kobayashi, T.; Nguyen, L.T.; Blum, F.; Faishal, M.I.; Trigubenko, A. Automatic Tree Species Identification in a Cold Temperate Natural Broadleaf Mixed Forest Using High-Resolution UAV Imagery and Mask R-CNN. Remote Sens. 2026, 18, 1692. https://doi.org/10.3390/rs18111692

AMA Style

Bukin V, Caceres MLL, Donoso YD, Kobayashi T, Nguyen LT, Blum F, Faishal MI, Trigubenko A. Automatic Tree Species Identification in a Cold Temperate Natural Broadleaf Mixed Forest Using High-Resolution UAV Imagery and Mask R-CNN. Remote Sensing. 2026; 18(11):1692. https://doi.org/10.3390/rs18111692

Chicago/Turabian Style

Bukin, Vladislav, Maximo Larry Lopez Caceres, Yago Diez Donoso, Takashi Kobayashi, Le Tien Nguyen, Friederich Blum, Muhammad Iqbal Faishal, and Anna Trigubenko. 2026. "Automatic Tree Species Identification in a Cold Temperate Natural Broadleaf Mixed Forest Using High-Resolution UAV Imagery and Mask R-CNN" Remote Sensing 18, no. 11: 1692. https://doi.org/10.3390/rs18111692

APA Style

Bukin, V., Caceres, M. L. L., Donoso, Y. D., Kobayashi, T., Nguyen, L. T., Blum, F., Faishal, M. I., & Trigubenko, A. (2026). Automatic Tree Species Identification in a Cold Temperate Natural Broadleaf Mixed Forest Using High-Resolution UAV Imagery and Mask R-CNN. Remote Sensing, 18(11), 1692. https://doi.org/10.3390/rs18111692

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