A Carbon-Aware Explainable Transformer for Multi-Temporal Deforestation Detection: Balancing Accuracy and Environmental Impact
Deep learning has significantly improved the performance of earth observation, including deforestation monitoring and land-use change detection. But, with the advent of modern deep neural networks, an extensive amount of computational power is needed, which consequently creates high energy consumption and carbon emissi...