一个扩展的VIIRS类的人工夜间光数据重建 (1986-2024年)
Yihe Tian1, Kwan Man Cheng2, Zhengbo Zhang3
1Department of Earth System Science, Ministry of Education, Ecological Field Station for East Asian Migratory Birds, Tsinghua University, Beijing, 100084, China.
Scientific data
|January 23, 2026
概括
一个新的扩展VIIRS类的人工夜光 (EVAL) 数据集为中国从1986-2024年提供了年度夜光数据. 这种先进的数据集克服了以前产品的局限性,为人类活动分析提供了更高的准确性.
科学领域:
- 遥感 遥感 遥感 遥感
- 地球观测 地球观测
- 地理空间分析的研究.
背景情况:
- 夜间光 (NTL) 遥感量化人类活动.
- 现有的NPP-VIIRS数据 (2012年以后) 限制了长期研究.
- 当前扩展的NTL产品低估了强度,并省略了细节.
研究的目的:
- 介绍扩展的VIIRS类的人工夜光 (EVAL) 数据集.
- 提供中国 (1986-2024) 年度NTL数据.
- 克服现有的NTL数据集的局限性.
主要方法:
- 开发了一种新的两阶段深度学习模型.
- 模型估计了初始的NTL,并使用不透的表面数据来改进细节.
- 从1986年到2024年为中国生成的年度NTL数据.
主要成果:
- 与最先进的产品相比,EVAL数据集显示出更高的性能.
- 显示了增强的时间一致性.
- 与社会经济指标的相关性更强.
结论:
- EVAL数据集为中国的长期NTL研究提供了显著的进步.
- 它为人类活动提供了更准确,更详细的见解.
- 促进社会经济和环境研究的改进.
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