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In this work, we present a flood detection technique from time series satellite images for the City-centered satellite sequences (CCSS) task in the MediaEval 2019 competition . This work utilises a three channel feature indexing technique  along with a VGG16 pretrained model for automatic detection of floods. We also compared our result with RGB images and a modified NDWI technique by Mishra et al, 2015 . The result shows that the three channel feature indexing technique performed the best with VGG16 and is a promising approach to detect floods from time series satellite images.
Schoen-Phelan, B. & Ross, R. (2019). MediaEval2019: Flood Detection in Time Sequence Satellite Images. Proceedings of the MediaEval 2019 Workshop, Sophia Antipolis, France, 27-30 October 2019. doi:10.21427/pj3n-kr08