Hyperspectral UAV-imagery and photogrammetric canopy height model in estimating forest stand variables
Remote sensing using unmanned aerial vehicle (UAV) -borne sensors is currently a highly interesting approach for the estimation of forest characteristics. 3D remote sensing data from airborne laser scanning or digital stereo photogrammetry enable highly accurate estimation of forest varia...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Finnish Society of Forest Science
2017-01-01
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| Series: | Silva Fennica |
| Online Access: | https://www.silvafennica.fi/article/7721 |