Predictive Map of Rice Distribution using LSTM+MLP Model

Dataset OverviewThis dataset provides a predictive map of rice paddy distribution, generated by LSTM-MLP deep learning model. It supports research in agricultural monitoring, food security, and land use management. This data directly supports the findings in the related research article: "Dual-branch network with enhanced feature fusion for improved rice classification accuracy".Methods & ContentThe map was created by applying a dual-branch neural network to multi-temporal satellite data. The LSTM branch analyzed seasonal growth patterns, while the MLP branch processed static features, with both branches fused for final classification.The primary file [Rice_Distribution_Map.tif] is a GeoTIFF raster with the following key attributes:Spatial Resolution: 10 mCoordinate System: [WGS 84]Pixel Values:1: Rice0: Non-Rice