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Stratified aboveground forest biomass estimation by remote sensing data.

, , , , , , and . Int. J. Applied Earth Observation and Geoinformation, (2015)

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Forest inventories by LiDAR data: A comparison of single tree segmentation and metric-based methods for inventories of a heterogeneous temperate forest., , , , , and . Int. J. Applied Earth Observation and Geoinformation, (2015)Canopy foliar nitrogen retrieved from airborne hyperspectral imagery by correcting for canopy structure effects., , , , , , , and . Int. J. Applied Earth Observation and Geoinformation, (2017)An angular vegetation index for imaging spectroscopy data - Preliminary results on forest damage detection in the Bavarian National Park, Germany., , and . Int. J. Applied Earth Observation and Geoinformation, (2012)Comparing Time-Lapse PhenoCams with Satellite Observations across the Boreal Forest of Quebec, Canada., , , , and . Remote. Sens., 14 (1): 100 (2022)Stratified aboveground forest biomass estimation by remote sensing data., , , , , , and . Int. J. Applied Earth Observation and Geoinformation, (2015)Multi-Scale Remote Sensing-Assisted Forest Inventory: A Glimpse of the State-of-the-Art and Future Prospects., and . Remote Sensing, 11 (11): 1260 (2019)Individual-tree- and stand-based development following natural disturbance in a heterogeneously structured forest: A LiDAR-based approach., , , and . Ecological Informatics, (2017)Modelling stratified forest attributes using optical/LiDAR features in a central European landscape., , , and . Int. J. Digital Earth, 5 (2): 106-132 (2012)