中国分布式光伏板遥感样本数据集

分布式光伏已经成为当前全国新增光伏装机容量的主力军。构建高精准的深度学习网络模型，以及计算评估分布式光伏目标提取精度，都需依托庞大的光伏数据集。因此项目团队构建了一个涵盖建筑屋顶、水上、农业大棚和高速公路的中东部分布式光伏样本数据集，为地方政府、电网公司和有关光伏企事业单位进行分布式现状评估与新能源开发规划提供了数据支持和保障。

Distributed photovoltaic (PV) has emerged as the dominant contributor to the newly added PV installed capacity nationwide at present. Both the development of high-precision deep learning network models and the calculation and evaluation of the extraction accuracy of distributed PV targets rely on large-scale PV datasets. Therefore, the project team has constructed a distributed PV sample dataset covering building rooftops, water surfaces, agricultural greenhouses and expressways in central and eastern China, which provides data support and guarantee for local governments, power grid companies and relevant PV enterprises and public institutions to conduct distributed PV status assessment and new energy development planning.