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Edge-Tree Correction for Predicting Forest Inventory Attributes Using Area-Based Approach With Airborne Laser Scanning.

, , , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 8 (3): 1274-1280 (2015)

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Comparison of Semi-Physical and Empirical Models in the Estimation of Boreal Forest Leaf Area Index and Clumping With Airborne Laser Scanning Data., , , , , , , , and . IEEE Trans. Geosci. Remote. Sens., (2024)How much can airborne laser scanning based forest inventory by tree species benefit from auxiliary optical data?, , , , and . Int. J. Appl. Earth Obs. Geoinformation, (2018)Multispectral Airborne LiDAR Data in the Prediction of Boreal Tree Species Composition., , , and . IEEE Trans. Geosci. Remote. Sens., 57 (6): 3462-3471 (2019)Detection of European Aspen (Populus tremula L.) Based on an Unmanned Aerial Vehicle Approach in Boreal Forests., , , , , , , , and . Remote. Sens., 13 (9): 1723 (2021)Bayesian Approach to Tree Detection Based on Airborne Laser Scanning Data., , , , , , and . IEEE Trans. Geosci. Remote. Sens., 52 (5): 2690-2699 (2014)Transferability of ALS-based forest attribute models when predicting with drone-based image point cloud data., , , , , and . Int. J. Appl. Earth Obs. Geoinformation, (2021)Classification of forest land attributes using multi-source remotely sensed data., , , , , and . Int. J. Appl. Earth Obs. Geoinformation, (2016)Fusion of crown and trunk detections from airborne UAS based laser scanning for small area forest inventories., , , and . Int. J. Appl. Earth Obs. Geoinformation, (2021)Estimation of forest stand characteristics using individual tree detection, stochastic geometry and a sequential spatial point process model., , , , , , , and . Int. J. Appl. Earth Obs. Geoinformation, (2022)Uncertainty Quantification in ALS-Based Species-Specific Growing Stock Volume Estimation., , , , , and . IEEE Trans. Geosci. Remote. Sens., 55 (3): 1671-1681 (2017)