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Review of studies on tree species classification from remotely sensed data, , , , , , , and . Remote Sensing of Environment, (2016)Testing and evaluating different LiDAR-derived canopy height model generation methods for tree height estimation., , and . Int. J. Appl. Earth Obs. Geoinformation, (2018)Forest Aboveground Biomass Estimation Using a Combination of Sentinel-L and Sentinel-2 Data., , , , , , and . IGARSS, page 9026-9029. IEEE, (2018)Past decade above-ground biomass change comparisons from four multi-temporal global maps., , , , , , , , , and 20 other author(s). Int. J. Appl. Earth Obs. Geoinformation, (April 2023)Digital Aerial Photogrammetry (DAP) and Airborne Laser Scanning (ALS) as Sources of Information about Tree Height: Comparisons of the Accuracy of Remote Sensing Methods for Tree Height Estimation., , and . Remote. Sens., 12 (11): 1808 (2020)Assessment of Iran's Mangrove Forest Dynamics (1990-2020) Using Landsat Time Series., , and . Remote. Sens., 14 (19): 4912 (2022)ALS-Based Detection of Past Human Activities in the Białowieża Forest - New Evidence of Unknown Remains of Past Agricultural Systems., , , , , , , , , and 10 other author(s). Remote. Sens., 12 (16): 2657 (2020)Fuzzy Hough Transform-Based Methods for Extraction and Measurements of Single Trees in Large-Volume 3D Terrestrial LIDAR Data., , , , and . ICCVG (1), volume 6374 of Lecture Notes in Computer Science, page 265-274. Springer, (2010)Correction: Erfanifard et al. Assessment of Iran's Mangrove Forest Dynamics (1990-2020) Using Landsat Time Series. Remote Sens. 2022, 14, 4912., , and . Remote. Sens., 15 (5): 1430 (March 2023)Forest biomass retrieval approaches from earth observation in different biomes., , , , , , , , , and 9 other author(s). Int. J. Appl. Earth Obs. Geoinformation, (2019)