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The use of airborne hyperspectral data for tree species classification in a species-rich Central European forest area.

, , , , and . Int. J. Appl. Earth Obs. Geoinformation, (2016)

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Validating MODIS and Sentinel-2 NDVI Products at a Temperate Deciduous Forest Site Using Two Independent Ground-Based Sensors., , , , , and . Sensors, 17 (8): 1855 (2017)A Machine Learning Framework for the Classification of Natura 2000 Habitat Types at Large Spatial Scales Using MODIS Surface Reflectance Data., , , and . Remote. Sens., 14 (4): 823 (2022)Applying different inversion techniques to retrieve stand variables of summer barley with PROSPECT + SAIL., , and . Int. J. Appl. Earth Obs. Geoinformation, 12 (2): 71-80 (2010)Monitoring Water Diversity and Water Quality with Remote Sensing and Traits., , , , , , , , , and 7 other author(s). Remote. Sens., 16 (13): 2425 (July 2024)Evaluation of Mid-Infrared and X-ray Fluorescence Data Fusion Approaches for Prediction of Soil Properties at the Field Scale., , , , , and . Sensors, 23 (2): 662 (January 2023)The use of airborne hyperspectral data for tree species classification in a species-rich Central European forest area., , , , and . Int. J. Appl. Earth Obs. Geoinformation, (2016)Linking the Remote Sensing of Geodiversity and Traits Relevant to Biodiversity - Part II: Geomorphology, Terrain and Surfaces., , , , , , , , , and 25 other author(s). Remote. Sens., 12 (22): 3690 (2020)