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Measuring ß-diversity by remote sensing: A challenge for biodiversity monitoring, , , , , , , , , and 11 other author(s). Methods in Ecology and Evolution, 9 (8): 1787-1798 (2017)Impervious Surface Change Mapping with an Uncertainty-Based Spatial-Temporal Consistency Model: A Case Study in Wuhan City Using Landsat Time-Series Datasets from 1987 to 2016., , , , , , , and . Remote. Sens., 9 (11): 1148 (2017)Using volunteered data in land cover map validation: Mapping tropical forests across West Africa., and . IGARSS, page 6207-6208. IEEE, (2012)Trading-off location accuracy and service quality: Privacy concerns and user profiles., , , and . ICL-GNSS, page 1-5. IEEE, (2017)Aging brick kilns in the asian brick belt using a long time series of Landsat sensor data to inform the study of modern day slavery., , , and . IGARSS, page 130-133. IEEE, (2019)Land Cover Classification by an Artificial Neural Network with Ancillary Information.. Int. J. Geogr. Inf. Sci., 9 (5): 527-542 (1995)Remotely sensed spatial heterogeneity as an exploratory tool for taxonomic and functional diversity study, , , , , , , , , and 10 other author(s). Ecological Indicators, (2018)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)Evaluation of SVM, RVM and SMLR for Accurate Image Classification With Limited Ground Data., and . IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 5 (5): 1344-1355 (2012)