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Correction to Üsing thermal time and pixel purity for enhancing biophysical variable time series: An interproduct comparison"., , and . IEEE Trans. Geosci. Remote. Sens., 51 (9): 4911 (2013)Local adjustments of image spatial resolution to optimize large-area mapping in the era of big data., , and . Int. J. Appl. Earth Obs. Geoinformation, (2018)Defining the Spatial Resolution Requirements for Crop Identification Using Optical Remote Sensing, and . Remote Sensing, (2014)Impact of Categorical and Spatial Scale on Supervised Crop Classification using Remote Sensing, , , and . Photogrammetrie - Fernerkundung - Geoinformation, 2015 (1): 7-20 (2015)Estimating regional wheat yield from the shape of decreasing curves of green area index temporal profiles retrieved from MODIS data., , , , , and . Int. J. Appl. Earth Obs. Geoinformation, (2012)Enhanced Processing of 1-km Spatial Resolution fAPAR Time Series for Sugarcane Yield Forecasting and Monitoring., , and . Remote Sensing, 5 (3): 1091-1116 (2013)Testing the Contribution of Stress Factors to Improve Wheat and Maize Yield Estimations Derived from Remotely-Sensed Dry Matter Productivity., , , , and . Remote Sensing, 8 (3): 170 (2016)Estimation of Terrestrial Global Gross Primary Production (GPP) with Satellite Data-Driven Models and Eddy Covariance Flux Data., , , , , , , and . Remote. Sens., 10 (9): 1346 (2018)A Crop Group-Specific Pure Pixel Time Series for Europe., , , , , , and . Remote Sensing, 11 (22): 2668 (2019)Using Thermal Time and Pixel Purity for Enhancing Biophysical Variable Time Series: An Interproduct Comparison., , and . IEEE Trans. Geosci. Remote. Sens., 51 (4-1): 2119-2127 (2013)