Few-shot SAR vehicle target augmentation based on generative adversarial networks

Southwest China has become an important carbon stock due to extensive forest restoration, yet existing biomass datasets are limited in highly heterogeneous landscapes. We developed a fine-grained 30 m aboveground biomass dataset in Southwest China using sub-meter GaoFen imagery and forest structural information. The dataset captures fine-scale spatial heterogeneity, includes trees outside forests, and provides support for regional carbon accounting and restoration efficacy assessment.