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RUESVMs: An Ensemble Method to Handle the Class Imbalance Problem in Land Cover Mapping Using Google Earth Engine.

, , , , and . Remote. Sens., 12 (21): 3484 (2020)

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RUESVMs: An Ensemble Method to Handle the Class Imbalance Problem in Land Cover Mapping Using Google Earth Engine., , , , and . Remote. Sens., 12 (21): 3484 (2020)Downscaling MODIS land surface temperature over a heterogeneous area: An investigation of machine learning techniques, feature selection, and impacts of mixed pixels., and . Comput. Geosci., (2019)Assessing the effects of irrigated agricultural expansions on Lake Urmia using multi-decadal Landsat imagery and a sample migration technique within Google Earth Engine., , , , , , , and . Int. J. Appl. Earth Obs. Geoinformation, (2021)Downscaling MODIS Land Surface Temperature Product Using an Adaptive Random Forest Regression Method and Google Earth Engine for a 19-Years Spatiotemporal Trend Analysis Over Iran., , , , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2021)Remote Sensing Systems for Ocean: A Review (Part 2: Active Systems)., , , , , , , , , and 2 other author(s). IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2022)Per-pixel accuracy as a weighting criterion for combining ensemble of extreme learning machine classifiers for satellite image classification., and . Int. J. Appl. Earth Obs. Geoinformation, (August 2023)