用自然语言查询卫星图像，支持时空条件筛选。
TerraQ: Spatiotemporal Question-Answering on Satellite Image Archives
- 通过自然语言理解技术解析用户查询意图
- 支持按地理位置、云量、积雪等条件筛选图像
- 适合遥感数据初学者与需要快速检索的科研人员
TerraQ 是一个面向卫星图像档案的时空问答引擎。它是一个自然语言处理系统，用于处理满足特定条件的卫星图像请求。请求可涉及图像元数据和来自专业知识库的实体（如意大利艾米利亚-罗马涅大区）。用户可提出类似“给我100张法国港口附近、积雪覆盖率低于20%、云覆盖率高于10%的河流图像”的查询，使地球观测数据更易获取，契合当前数字助手的发展趋势。
原文摘要 · Abstract (English)
TerraQ is a spatiotemporal question-answering engine for satellite image archives. It is a natural language processing system that is built to process requests for satellite images satisfying certain criteria. The requests can refer to image metadata and entities from a specialized knowledge base (e.g., the Emilia-Romagna region). With it, users can make requests like "Give me a hundred images of rivers near ports in France, with less than 20% snow coverage and more than 10% cloud coverage", thus making Earth Observation data more easily accessible, in-line with the current landscape of digital assistants.
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