Using canopy height model derived from UAV imagery as an auxiliary for spectral data to estimate the canopy cover of mixed broadleaf forests
Author:
Publisher
Springer Science and Business Media LLC
Subject
Management, Monitoring, Policy and Law,Pollution,General Environmental Science,General Medicine
Link
https://link.springer.com/content/pdf/10.1007/s10661-021-09695-7.pdf
Reference36 articles.
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2. Brovkina, O., Cienciala, E., Surový, P., & Janata, P. (2018). Unmanned aerial vehicles (UAV) for assessment of qualitative classification of Norway spruce in temperate forest stands. Geo-Spatial Information Science, 21(1), 12–20. https://doi.org/10.1080/10095020.2017.1416994
3. Brovkina, O., Cienciala, E., Surový, P., Janata, P., Group, F. (2018). Geo-spatial Information Science Unmanned aerial vehicles (UAV) for assessment of qualitative classification of Norway spruce in temperate forest stands. Geo-Spatial Information Science, 5020, 1–9. https://doi.org/10.1080/10095020.2017.1416994
4. Chianucci, F. (2016). A note on estimating canopy cover from digital cover and hemispherical photography. Silva Fennica, 50(1), 1–10.
5. Chianucci, F., Chiavetta, U., & Cutini, A. (2014). The estimation of canopy attributes from digital cover photography by two different image analysis methods. Iforest, 7(4), 255–259. https://doi.org/10.3832/ifor0939-007
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