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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. Appl. Earth Obs. Geoinformation, (2015)

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Estimating stand density, biomass and tree species from very high resolution stereo-imagery – towards an all-in-one sensor for forestry applications?, , , , , , and . Forestry: An International Journal of Forest Research, (March 2017)Application of a One-Class Classifier and a Linear Spectral Unmixing Method for Detecting Invasive Species in Central Chile., , , , and . IGARSS, page 2883-2886. IEEE, (2018)Comparison of Feature Reduction Algorithms for Classifying Tree Species With Hyperspectral Data on Three Central European Test Sites., , , , , , , and . IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 7 (6): 2547-2561 (2014)Using Sentinel-2 and canopy height models to derive a landscape-level biomass map covering multiple vegetation types., , , , , and . Int. J. Appl. Earth Obs. Geoinformation, (2021)Mapping degraded grassland on the Eastern Tibetan Plateau with multi-temporal Landsat 8 data - where do the severely degraded areas occur?, , and . Int. J. Appl. Earth Obs. Geoinformation, (2015)Using a Multistructural Object-Based LiDAR Approach to Estimate Vascular Plant Richness in Mediterranean Forests With Complex Structure., , , , and . IEEE Geosci. Remote. Sens. Lett., 12 (5): 1008-1012 (2015)An angular vegetation index for imaging spectroscopy data. Preliminary results on forest damage detection in the Bavarian National Park, Germany, , and . International Journal of Applied Earth Observation and Geoinformation, 19 (0): 308 - 321 (2012)Review of studies on tree species classification from remotely sensed data, , , , , , , and . Remote Sensing of Environment, (2016)Modis-Based Grassland Trends Within and Around the Kekexili Core Protection Zone of the Sanjiangyuan Nature Reserve., , , , and . IGARSS, page 2880-2882. IEEE, (2018)Explaining Sentinel 2-based dNBR and RdNBR variability with reference data from the bird's eye (UAS) perspective., , , and . Int. J. Appl. Earth Obs. Geoinformation, (2021)