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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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Self-Guided Segmentation and Classification of Multi-Temporal Landsat 8 Images for Crop Type Mapping in Southeastern Brazil., , , , , and . Remote Sensing, 7 (11): 14482-14508 (2015)Assessing the Potential of Sentinel-2 and Pléiades Data for the Detection of Prosopis and Vachellia spp. in Kenya., , , , , and . Remote Sensing, 9 (1): 74 (2017)Individual Tree Crown Segmentation and Classification of 13 Tree Species Using Airborne Hyperspectral Data., , and . Remote Sensing, 10 (8): 1218 (2018)Optimal Input Features for Tree Species Classification in Central Europe Based on Multi-Temporal Sentinel-2 Data., , , , , and . Remote Sensing, 11 (22): 2599 (2019)Tree Species Classification with Random Forest Using Very High Spatial Resolution 8-Band WorldView-2 Satellite Data., , and . Remote Sensing, 4 (9): 2661-2693 (2012)First Experience with Sentinel-2 Data for Crop and Tree Species Classifications in Central Europe., , and . Remote Sensing, 8 (3): 166 (2016)Comparative analysis of different retrieval methods for mapping grassland leaf area index using airborne imaging spectroscopy., , , , , and . Int. J. Applied Earth Observation and Geoinformation, (2015)Mapping Prosopis spp. with Landsat 8 data in arid environments: Evaluating effectiveness of different methods and temporal imagery selection for Hargeisa, Somaliland., , , , , , , and . Int. J. Applied Earth Observation and Geoinformation, (2016)How much does multi-temporal Sentinel-2 data improve crop type classification?, , , , and . Int. J. Applied Earth Observation and Geoinformation, (2018)Data Service Platform for Sentinel-2 Surface Reflectance and Value-Added Products: System Use and Examples., , , , , , , , and . Remote Sensing, 8 (11): 938 (2016)