Photovoltaic dataset of China from 2013 to 2023 for ten years

To produce this dataset, an advanced approach was employed. Firstly, machine learning techniques were utilized in conjunction with Landsat - 8 images with a resolution of 30m. These images underwent morphological restoration to enhance their quality. Subsequently, the processed data was converted into vector format, facilitating further analysis and manipulation. Finally, a crucial step of manual verification was carried out. This involved careful human checking to ensure the accuracy and reliability of the dataset. Through this meticulous process, a high-quality dataset was generated, which can serve as a valuable tool for various research and application scenarios related to photovoltaic studies in China, such as analyzing the spatial distribution and temporal changes of photovoltaic installations, assessing the impact of photovoltaic development on the environment and energy landscape, and supporting the planning and management of photovoltaic projects.本数据集采用先进技术流程构建而成。首先，研究团队结合分辨率为30米的陆地卫星8号（Landsat-8）影像，应用机器学习技术开展预处理，并对该系列影像进行形态学修复（morphological restoration）以提升影像质量；随后将处理完成的数据转换为矢量格式，便于后续分析与操作；最后增设关键的人工核验环节，由专业人员开展细致核查，以保障数据集的准确性与可靠性。通过这套严谨细致的流程，最终生成了高质量数据集，可作为中国光伏发电（photovoltaic）相关研究与应用场景的宝贵工具，具体可用于分析光伏电站的空间分布与时序变化、评估光伏发电发展对环境与能源格局的影响，以及为光伏项目的规划与管理提供支撑。

搜集汇总

背景与挑战

背景概述

该数据集是一个关于中国光伏（太阳能）的十年期（2013-2023年）数据集，通过结合Landsat-8卫星图像（分辨率30米）和机器学习技术生成，并经过形态学恢复和人工验证，以确保高精度和可靠性。它主要用于分析光伏装置的空间分布和时空变化、评估光伏发展对环境的影响，以及支持光伏项目的规划和管理，数据量为6.02 MB，包含1个文件。