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First Experience with Sentinel-2 Data for Crop and Tree Species Classifications in Central Europe.

, , and . Remote Sensing, 8 (3): 166 (2016)

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Optimal Exploitation of the Sentinel-2 Spectral Capabilities for Crop Leaf Area Index Mapping., , , , and . Remote Sensing, 4 (3): 561-582 (2012)First Experience with Sentinel-2 Data for Crop and Tree Species Classifications in Central Europe., , and . Remote Sensing, 8 (3): 166 (2016)COSMO-SkyMed® for crops monitoring., , , , and . IGARSS, page 764-767. IEEE, (2014)Estimation of Leaf Area Index Using DEIMOS-1 Data: Application and Transferability of a Semi-Empirical Relationship between two Agricultural Areas., , , , and . Remote Sensing, 5 (3): 1274-1291 (2013)Cost-effectiveness of Vegetation Biophysical Parameters Retrieval from Remote Sensing Data., and . IGARSS, page 1949-1952. IEEE, (2006)Application of Photon Recollision Probability Theory for Compatibility Check Between Foliage Clumping and Leaf Area Index Products Obtained from Earth Observation Data., , , , , , , , , and 5 other author(s). IGARSS, page 5918-5920. IEEE, (2018)Phenological Metrics Derived over the European Continent from NDVI3g Data and MODIS Time Series., , , and . Remote Sensing, 6 (1): 257-284 (2014)Methodologies and Uncertainties in the Use of the Terrestrial Chlorophyll Index for the Sentinel-3 Mission., , , , and . Remote Sensing, 4 (5): 1112-1133 (2012)Optimal Input Features for Tree Species Classification in Central Europe Based on Multi-Temporal Sentinel-2 Data., , , , , and . Remote Sensing, 11 (22): 2599 (2019)How much does multi-temporal Sentinel-2 data improve crop type classification?, , , , and . Int. J. Applied Earth Observation and Geoinformation, (2018)