高分一号卫星大面积光伏遥感监测影像
封面图像为高分一号多光谱相机2024年10月5日获取的新疆维吾尔自治区“绿电乌鲁木齐米东区350万千瓦光伏”项目的影像，展现了在金色沙漠中已经建设的一排排大面积光伏板（中国科学院空天信息创新研究院国家遥感应用工程技术研究中心灾害与环境遥感研究团队研制）。该项目自2023年8月29日集中建设，2024年5月29日并网，成为米东区北部沙漠光伏基地中首个成功并网的新能源项目，也是目前全国单体容量最大的沙漠光伏项目，标志着乌鲁木齐市依托“南风北光”资源建设“沙戈荒”（即沙漠、戈壁和荒漠地区）大型风光基地迈出坚实一步。新疆具有丰富的光能资源，戈壁荒漠区年平均日照时间能达到3170—3380 h，大部分属于一类光照区，发展光伏产业具有显著的优势。卫星遥感不仅能够对光伏电站建设情况进行动态监测和时空分析，还可以对光伏开发潜力进行精细评估，有效服务光伏发电基地科学选址，为加快智能光伏产业创新升级和特色应用提供有效的技术手段。
Large area photovoltaic remote sensing monitoring image captured by the GF-1 satellite
The cover image was captured by the multispectral camera of the GF-1 satellite on October 5, 2024. It shows imagery of the " Green Energy 3.5 Million Kilowatts Photovoltaic Project in Midong District of Urumqi " in Xinjiang Uygur Autonomous Region, China, featuring rows of large-area photovoltaic panels constructed in a golden desert landscape( Developed by the Disaster and Environmental Remote Sensing Research Team of the National Engineering Research Center for Geomatics, Aerospace Information Research Institute, Chinese Academy of Sciences). This project commenced concentrated construction on August 29, 2023, connected to the grid on May 29, 2024 and became the first successfully grid-connected new energy project in the northern desert of Midong District. It is currently the largest single-unit desert photovoltaic project in China, which marks a significant step forward in Urumqi's efforts to leverage its "Southern Wind and Northern Light" resources to build large-area renewable energy bases in the "Sand, Gobi, and Desert" regions. Xinjiang possesses abundant solar energy resources, with annual average sunshine durations of 3170 to 3380 hours in its Gobi and desert areas, most of which fall within the highest solar radiation zone. This provides a significant advantage for the development of the photovoltaic industry. Satellite remote sensing not only enables dynamic monitoring and spatiotemporal analysis of photovoltaic power plant construction but also facilitates precise evaluation of photovoltaic development potential. This effectively supports the scientific siting of photovoltaic power bases and provides valuable technical tools to accelerate innovation, upgrading, and specialized applications in the smart photovoltaic industry.
