Predictive Map of Rice Distribution using LSTM+MLP Model

<b>Dataset Overview</b><br>This 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: <b>"Dual-branch network with enhanced feature fusion for improved rice classification accuracy"</b>.<b>Methods &amp; Content</b><br>The 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:<b>Spatial Resolution</b>: 10 m<b>Coordinate System</b>: [WGS 84]<b>Pixel Values</b>:1: Rice0: Non-Rice