A 10 m farmland shelterbelt dataset for Northeast China in 2020 and 2025

This record contains the 10 m farmland shelterbelt distribution products for Northeast China in 2020 and 2025, together with the pretrained deep learning model weights used for farmland shelterbelt inference. The dataset was generated from spring Sentinel-2 surface reflectance composites using B4, B8, and NDVI features and a ResNet-50/CA deep learning model. The two GeoTIFF files represent binary farmland shelterbelt maps, where 1 indicates farmland shelterbelt and 0 indicates non-shelterbelt. The pretrained model weights are provided as ForestNet50V1.pth to support reproducible inference and local model adaptation. The dataset covers major agricultural regions of Northeast China, including Heilongjiang, Jilin, Liaoning, and eastern Inner Mongolia. It is intended for regional- and landscape-scale analyses of farmland shelterbelt distribution, spatial continuity, fragmentation, stage-based change, and ecological engineering assessment.