Crop mask for Kisumu (Kenya) was prepared to assess the potential impact of flood on cropland. The crop mask was prepared from land cover generated using the 2008 Africover legend for Kisumu, Kenya. The samples were trained with a machine learning model in Google Earth Engine and Sentinel 1 & 2 imageries were classified. The crop mask was obtained at 10m spatial resolution.