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Evaluating the temporal stability of synthetically generated time-series for crop types in Central Germany.

, , , , , and . MultiTemp, page 1-4. IEEE, (2015)

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Enhancing 3D City Models with Heterogeneous Spatial Information: Towards 3D Land Information Systems., , , and . AGILE Conf., page 113-133. Springer, (2009)Land use patterns, temperature distribution, and potential heat stress risk - The case study Berlin, Germany., , , and . Computers, Environment and Urban Systems, (2014)Robust Automated Image Co-Registration of Optical Multi-Sensor Time Series Data: Database Generation for Multi-Temporal Landslide Detection., , , , and . Remote Sensing, 6 (3): 2572-2600 (2014)Thermal behavior and its seasonal and diurnal variability of urban green infrastructure in a mid-latitude city - Berlin., and . JURSE, page 1-4. IEEE, (2019)Reduction of On-side Controls of Catch Crop Fields with Sentinel-2 and Sentinel-1 Phenological Reference Profiles., , and . MultiTemp, page 1-3. IEEE, (2019)Automated Spatiotemporal Landslide Mapping over Large Areas Using RapidEye Time Series Data., , , and . Remote Sensing, 6 (9): 8026-8055 (2014)Grassland habitat mapping by intra-annual time series analysis - Comparison of RapidEye and TerraSAR-X satellite data., , , , and . Int. J. Applied Earth Observation and Geoinformation, (2015)Multi-temporal detection of grassland vegetation with RapidEye imagery and a spectral-temporal library., , , and . IGARSS, page 4930-4933. IEEE, (2012)Evaluating the temporal stability of synthetically generated time-series for crop types in Central Germany., , , , , and . MultiTemp, page 1-4. IEEE, (2015)Detecting the spread of invasive species in central Chile with a Sentinel-2 time-series., , , , , , and . MultiTemp, page 1-4. IEEE, (2017)