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Evaluating the Performance of a Random Forest Kernel for Land Cover Classification., , и . Remote Sensing, 11 (5): 575 (2019)Unmixing-Based Landsat TM and MERIS FR Data Fusion., , и . IEEE Geosci. Remote. Sens. Lett., 5 (3): 453-457 (2008)Co-clustering geo-referenced time series: exploring spatio-temporal patterns in Dutch temperature data., , и . Int. J. Geogr. Inf. Sci., 29 (4): 624-642 (2015)Dataset Reduction Techniques to Speed Up SVD Analyses on Big Geo-Datasets., , , и . ISPRS Int. J. Geo Inf., 8 (2): 55 (2019)Identifying Environmental and Human Factors Associated With Tick Bites using Volunteered Reports and Frequent Pattern Mining., , , , , , и . Trans. GIS, 21 (2): 277-299 (2017)Multitemporal Unmixing of Medium-Spatial-Resolution Satellite Images: A Case Study Using MERIS Images for Land-Cover Mapping., , , , и . IEEE Trans. Geosci. Remote. Sens., 49 (11): 4308-4317 (2011)Development of an Open-Source Toolbox for the Analysis and Visualization of Remotely Sensed Time Series., , , , , и . Cartogr. Int. J. Geogr. Inf. Geovisualization, 46 (4): 227-238 (2011)Spatial+: A new cross-validation method to evaluate geospatial machine learning models., , и . Int. J. Appl. Earth Obs. Geoinformation, (2023)Identifying Favorable Spatio-Temporal Conditions for West Nile Virus Outbreaks by Co-Clustering of Modis LST Indices Time Series., , , , , и . IGARSS, стр. 4670-4673. IEEE, (2018)J.G. Liu, P.J. Mason, , Essential Image Processing and GIS for Remote Sensing (2009) Wiley-Blackwell, Singapore 978-0-470-51032-2 443 pp., Price: £95.00.. Int. J. Appl. Earth Obs. Geoinformation, 13 (4): 560-561 (2011)