Research on Identification Technology of Ecological Type Change Aeras in Jiangsu Province Based on the FCDxLSTM Model

Based on multi-temporal remote sensing image data acquired by domestic GF (Gaofen) series satellites from 2022 to 2023,combined with manual visual interpretation,an ecological type change sample dataset covering 13 prefecture-level cities and 95 counties in Jiangsu Province was constructed.With a total of 65 000 sample groups,this dataset provides high-quality training and validation data for ecological type change detection.Focal Central Difference Extended LSTM (FCDxLSTM) was proposed in this study,whose core architecture consists of three components: a dual-branch backbone network,a feature enhancement layer,and a cross-scale interactive fusion module.Using the constructed sample dataset,ecological type change detection experiments were conducted and compared with six state-of-the-art (SOTA) methods.Experimental results demonstrate that the FCDxLSTM model achieves optimal performance across all evaluation metrics.Compared with the baseline model CDxLSTM,its Intersection over Union (IoU) reached 0.886 9,showing an improvement of 1.58%.Qualitative analysis indicates that the model exhibits more precise edge detection capabilities,significantly suppresses false change phenomena,and effectively enhances the accuracy of ecological type change detection.The research findings hold important application significance for ecological quality monitoring and evaluation in Jiangsu Province,as well as human activity supervision in key ecological spaces.