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Mapping degraded grassland on the Eastern Tibetan Plateau with multi-temporal Landsat 8 data - where do the severely degraded areas occur?, , and . Int. J. Applied Earth Observation and Geoinformation, (2015)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)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)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)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)Tree species identification within an extensive forest area with diverse management regimes using airborne hyperspectral data., , and . Int. J. Applied Earth Observation and Geoinformation, (2020)Reconstructing the Vegetation Disturbance History of a Biodiversity Hotspot in Central Chile Using Landsat, Bfast and Landtrendr., and . IGARSS, page 7636-7639. IEEE, (2018)A framework for mapping tree species combining hyperspectral and LiDAR data: Role of selected classifiers and sensor across three spatial scales., , , and . Int. J. Applied Earth Observation and Geoinformation, (2014)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)Detecting the spread of invasive species in central Chile with a Sentinel-2 time-series., , , , , , and . MultiTemp, page 1-4. IEEE, (2017)