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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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Optimising Phenological Metrics Extraction for Different Crop Types in Germany Using the Moderate Resolution Imaging Spectrometer (MODIS)., , and . Remote Sensing, 9 (3): 254 (2017)Comparison of radiative transfer model inversions to estimate vegetation physiological status based on hyperspectral data., and . WHISPERS, page 1-4. IEEE, (2011)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)Measuring ß-diversity by remote sensing: A challenge for biodiversity monitoring, , , , , , , , , and 11 other author(s). Methods in Ecology and Evolution, (2018)Extraction of Plant Physiological Status from Hyperspectral Signatures Using Machine Learning Methods., , , and . Remote. Sens., 6 (12): 12247-12274 (2014)Radiometric Correction of Simultaneously Acquired Landsat-7/Landsat-8 and Sentinel-2A Imagery Using Pseudoinvariant Areas (PIA): Contributing to the Landsat Time Series Legacy., , , , , , , , , and 2 other author(s). Remote. Sens., 9 (12): 1319 (2017)An Adaptable Approach for Pixel-Based Compositing and Crop Type/Tree Species Mapping., , and . IGARSS, page 71-73. IEEE, (2019)Evaluation of methods to compute green-up dates based on daily NDVI observations., , and . IGARSS, page 4922-4925. IEEE, (2012)Phänologische Strukturierung von zeitlich hochauflösenden Sentinel-2-Datensätzen zur Optimierung von Landnutzungsklassifikationen, , , , , , , and . (21.-22. 01 2015)Measuring ß-diversity by remote sensing: A challenge for biodiversity monitoring, , , , , , , , , and 11 other author(s). Methods in Ecology and Evolution, 9 (8): 1787-1798 (2017)