Remote Sensing Data and Methods in NFI
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-06405-0_7
Reference20 articles.
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2. Åkerblom, M., Kaitaniemi, P.: Terrestrial laser scanning: a new standard of forest measuring and modelling? Ann. Botany 128(6), 653–662 (2021). https://doi.org/10.1093/aob/mcab111
3. Arumäe, T., Lang, M., Sims, A., Laarmann, D.: Planning of commercial thinnings using machine learning and airborne lidar data. Forests 13(2), 206 (2022). https://doi.org/10.3390/f13020206
4. Breidenbach, J., Granhus, A., Hylen, G., Eriksen, R., Astrup, R.: A century of national forest inventory in Norway – informing past, present, and future decisions. Forest Ecosys. 7(1) (2020). https://doi.org/10.1186/s40663-020-00261-0
5. Breiman, L.: Machine Learning, vol. 45. Springer Science and Business Media LLC, Berlin (2001). https://doi.org/10.1023/a:1010933404324
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1. Combining satellite images with national forest inventory measurements for monitoring post-disturbance forest height growth;Frontiers in Remote Sensing;2024-08-22
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