Research on Photovoltaic Development in Northwestern China using Remote Sensing Images

Yunjia Zou, Tao Zhang, Guanghui Wang, Wei Zhang, Ting Liu, Hailun Dai
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Abstract

Abstract. Photovoltaics, a clean energy source, have received widespread attention worldwide recently. Many countries are carrying out photovoltaic construction, while also compiling and analyzing their photovoltaic development status. The same goes for China. In northwestern China, a considerable number of cities lack electricity. Meanwhile, its vast plains and abundant sunlight are conducive to the construction of photovoltaics. Therefore, the northwestern China has vigorously carried out photovoltaic construction nowadays. With the support of high-resolution and multi-temporal remote sensing images, we are able to analyze the development status of photovoltaics in these regions. We chose six provinces in northwestern China as our research areas and took three steps to complete our studies. Firstly, we extracted patterns of photovoltaics using deep learning methods. Secondly, based on the patterns and national land use survey data, we calculated the distribution and development status of photovoltaics in each province. Thirdly, we present the statistical results in figures and charts, showing the photovoltaic construction status and its development trend. We finally made conclusions and discussions about our insufficiency in work and future plans for further study.
利用遥感图像研究中国西北地区的光伏发展情况
摘要光伏作为一种清洁能源,近年来受到世界各国的广泛关注。许多国家在进行光伏建设的同时,也对本国的光伏发展状况进行了梳理和分析。中国也是如此。在中国西北地区,相当多的城市缺电。同时,其广阔的平原和充足的日照有利于光伏建设。因此,西北地区如今已大力开展光伏建设。在高分辨率、多时相遥感影像的支持下,我们能够分析这些地区的光伏发展状况。我们选择了中国西北六省作为研究区域,并分三个步骤完成了研究。首先,我们利用深度学习方法提取了光伏发电的模式。其次,根据模式和全国土地利用调查数据,我们计算了各省的光伏分布和发展状况。第三,我们以数字和图表的形式呈现了统计结果,展示了光伏建设现状及其发展趋势。最后,我们对工作中的不足和未来进一步研究的计划进行了总结和讨论。
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