This paper describes how AI models can be augmented and adapted to produce interpretation of landscapes. We describe the technical framework of a Sentinel-2 satellite asset interpretation pipeline that combines statistical operations, human judgement, and generative AI models to create succinct commentaries on industrial mining sites across the planet, documenting a past shared between people and AI systems.

翻译：本文阐述了如何增强和调整人工智能模型以生成对景观的解读。我们描述了一个Sentinel-2卫星资产解译流程的技术框架，该框架结合了统计运算、人类判断与生成式AI模型，旨在对全球工业采矿场址生成简明评述，从而记录人类与AI系统共同构建的历史轨迹。