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Prediction of Competition Indices in a Norway Spruce and Silver Fir-Dominated Forest Using Lidar Data., , , , , and . Remote Sensing, 11 (23): 2734 (2019)Optimizing Field Data Collection for Individual Tree Attribute Predictions Using Active Learning Methods., , , , , and . Remote. Sens., 11 (8): 949 (2019)Potential and Limitations of Grasslands α-Diversity Prediction Using Fine-Scale Hyperspectral Imagery., , , , , , , , and . Remote. Sens., 13 (14): 2649 (2021)WhiteRef: A New Tower-Based Hyperspectral System for Continuous Reflectance Measurements., , , , , , , , and . Sensors, 15 (1): 1088-1105 (2015)Global patterns of land-atmosphere fluxes of carbon dioxide, latent heat, and sensible heat derived from eddy covariance, satellite, and meteorological observations, , , , , , , , , and 14 other author(s). Journal of Geophysical Research: Biogeosciences, (2011)\_eprint: https://onlinelibrary.wiley.com/doi/pdf/10.1029/2010JG001566.Mapping forest windthrows using high spatial resolution multispectral satellite images., , , , , and . Int. J. Appl. Earth Obs. Geoinformation, (2020)Windthrows Detection With Satellite Remote Sensing Data: A Comparison Among Sentinel-2, Planet, And Cosmo Sky-Med Data., , , and . IGARSS, page 6752-6755. IEEE, (2023)Detection of Forest Changes with Multi-Temporal Lidar Data., , and . IGARSS, page 9011-9013. IEEE, (2018)Prediction of Forest Attributes with Multispectral Lidar Data., , , , and . IGARSS, page 7528-7531. IEEE, (2018)Analysis on the Use of Multiple Returns LiDAR Data for the Estimation of Tree Stems Volume., , , and . IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 2 (4): 310-318 (2009)