Ground truth refers to the accurate, real-world data or facts used as a benchmark to validate the accuracy of models, algorithms, or predictions in fields like machine learning and remote sensing. It is essential for training, testing, and evaluating the performance of systems to ensure they reflect reality as closely as possible.