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Land cover classification by support vector machine: towards efficient training., and . IGARSS, page 742-744. IEEE, (2004)Status of land cover classification accuracy assessment. Remote sensing of environment, 80 (1): 185--201 (2002)Spatial-Temporal Super-Resolution Land Cover Mapping With a Local Spatial-Temporal Dependence Model., , , , , , , , and . IEEE Trans. Geosci. Remote. Sens., 57 (7): 4951-4966 (2019)Use of Automated Change Detection and VGI Sources for Identifying and Validating Urban Land Use Change., , , , , , , , , and 2 other author(s). Remote. Sens., 12 (7): 1186 (2020)Object-Based Area-to-Point Regression Kriging for Pansharpening., , , , , , , and . IEEE Trans. Geosci. Remote. Sens., 59 (10): 8599-8614 (2021)Land Cover Classification by an Artificial Neural Network with Ancillary Information.. Int. J. Geogr. Inf. Sci., 9 (5): 527-542 (1995)An Iterative Interpolation Deconvolution Algorithm for Superresolution Land Cover Mapping., , , , and . IEEE Trans. Geosci. Remote. Sens., 54 (12): 7210-7222 (2016)Cloud detection in Landsat-8 imagery in Google Earth Engine based on a deep neural network., , , and . CoRR, (2020)Remotely sensed spatial heterogeneity as an exploratory tool for taxonomic and functional diversity study, , , , , , , , , and 10 other author(s). Ecological Indicators, (2018)Rating crowdsourced annotations: evaluating contributions of variable quality and completeness.. Int. J. Digit. Earth, 7 (8): 650-670 (2014)