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Reply to Vauhkonen: Comment on Tompalski et al. Combining Multi-Date Airborne Laser Scanning and Digital Aerial Photogrammetric Data for Forest Growth and Yield Modelling. Remote Sens. 2018, 10, 347., , , , , и . Remote Sensing, 10 (9): 1432 (2018)Effect of topographic correction on forest change detection using spectral trend analysis of Landsat pixel-based composites., , , , и . Int. J. Appl. Earth Obs. Geoinformation, (2016)Using GEDI Waveforms for Improved TanDEM-X Forest Height Mapping: A Combined SINC + Legendre Approach., , и . Remote. Sens., 13 (15): 2882 (2021)A National Assessment of Wetland Status and Trends for Canada's Forested Ecosystems Using 33 Years of Earth Observation Satellite Data., , , , , , и . Remote. Sens., 10 (10): 1623 (2018)Characterizing spatial-temporal patterns of landscape disturbance and recovery in western Alberta, Canada using a functional data analysis approach and remotely sensed data., , , , , , , , , и . Ecol. Informatics, (2017)An Efficient Protocol to Process Landsat Images for Change Detection With Tasselled Cap Transformation., , , , , и . IEEE Geosci. Remote. Sens. Lett., 4 (1): 147-151 (2007)Combining Multi-Date Airborne Laser Scanning and Digital Aerial Photogrammetric Data for Forest Growth and Yield Modelling., , , , , и . Remote Sensing, 10 (2): 347 (2018)Information Needs of Next-Generation Forest Carbon Models: Opportunities for Remote Sensing Science., и . Remote. Sens., 11 (4): 463 (2019)The urban greenness score: A satellite-based metric for multi-decadal characterization of urban land dynamics., , , , , , и . Int. J. Appl. Earth Obs. Geoinformation, (2020)An automated approach to detecting instream wood using airborne laser scanning in small coastal streams., , , , и . Int. J. Appl. Earth Obs. Geoinformation, (апреля 2023)