A novel CNN-LSTM-based approach to predict urban expansion

Wadii Boulila, Hamza Ghandorh, Mehshan Ahmed Khan, Fawad Ahmed, Jawad Ahmad

Abstract: Highlights•A Novel CNN-LSTM-based Approach (ConvLSTM to Predict Urban Expansion)•The first step aims to extract information about urban regions at different time scales.•The second step combines CNN with LSTM methods to learn temporal features and predict urban expansion.•Experimental results are conducted using several multi-date satellite images.•Results reveal improved performance for the ConvLSTM approach.