一个太阳能电池板数据集非常高分辨率的卫星图像,以支持可持续发展目标
Cecilia N Clark1, Fabio Pacifici2
1Maxar Technologies, Maxar Labs, Westminster, CO, 80234, USA. c.n.clark@ieee.org.
Scientific data
|September 19, 2023
概括
这项研究引入了用于太阳能电池板检测的新卫星图像数据集,改进了绿色能源监测. 该数据集支持对太阳能装置进行准确,大规模的跟踪,以实现可持续发展目标.
科学领域:
- 环境科学 环境科学
- 遥感 遥感 遥感 遥感
- 数据科学数据科学数据科学
背景情况:
- 可靠的数据对于联合国的可持续发展目标至关重要.
- 目前的太阳能电池板安装监测依赖于不一致的官方数据和有限的空中图像.
- 用于太阳能电池板检测的空中图像受到成本,地理覆盖面和范围的限制.
研究的目的:
- 使用高分辨率卫星图像提供全面的太阳能电池板数据集.
- 为了克服大规模太阳能安装监控的空中图像的局限性.
- 提高太阳能电池板检测模型的准确性和可访问性.
主要方法:
- 从31厘米分辨率的卫星图像开发了一个太阳能电池板数据集.
- 整合了补充的卫星图像,分辨率为15.5厘米.
- 有注释的数据集包括2542个太阳能电池板.
主要成果:
- 该数据集可以在区域和国际范围内快速准确地检测太阳能电池板.
- 高分辨率卫星图像提高了精确识别太阳能电池板的潜力.
- 该数据集可用于开发专门的基于卫星的检测模型或增强现有的基于空中模型.
结论:
- 新的卫星图像数据集解决了当前太阳能电池板监控方法的局限性.
- 该资源有助于更好地跟踪绿色能源生产和可持续能源获取.
- 该数据集支持开发通用太阳能电池板检测模型,以实现更广泛的应用.
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