Predicting Land Use Changes Using Siamese Network-Aided Deep Convolutional Neural Networks (DCNN)

This research aims to develop an innovative approach for predicting land use changes in urban and rural areas by combining the power of Siamese networks and Deep Convolutional Neural Networks (DCNN) with Geographic Information Systems (GIS) data. The study will leverage historical land use data, environmental factors, and socio-economic indicators, all integrated into a GIS framework.