Comparing field measurements and annotations as training data for UAV-based detection of standing dead trees in coniferous forest-Reference-Cited by-同舟云学术

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Comparing field measurements and annotations as training data for UAV-based detection of standing dead trees in coniferous forest

Published:2023-09-02 Issue:17 Volume:44 Page:5375-5396
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Heinaro Einari¹^ORCID,Tanhuanpää Topi¹²,Kukko Antero³,Hakala Teemu³,Holopainen Markus¹

Affiliation:

1. Department of Forest Sciences, University of Helsinki, Helsinki, Finland

2. Department of Geographical and Historical Studies, University of Eastern Finland, Joensuu, Finland

3. Department of Remote Sensing and Photogrammetry, Finnish Geospatial Research Institute FGI, The National Land Survey of Finland, Espoo, Finland

Funder

LIFE financial instrument of the European Union

Strategic Research Council

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2023.2248561

Reference49 articles.

1. Classification of Tree Species as Well as Standing Dead Trees Using Triple Wavelength ALS in a Temperate Forest

2. Estimation of standing dead tree class distributions in northwest coastal forests using lidar remote sensing

3. Detrital carbon pools in temperate forests: magnitude and potential for landscape-scale assessment

4. CLASSIFICATION OF TREE SPECIES AND STANDING DEAD TREES BY FUSING UAV-BASED LIDAR DATA AND MULTISPECTRAL IMAGERY IN THE 3D DEEP NEURAL NETWORK POINTNET++

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