Gap-filling method based on GNNs considering spatiotemporal anisotropic geometric relationship for VNP46A2 daily NTL data

Night-time light (NTL) data, exemplified by the Black Marble dataset, has shown significant application potential across multiple domains due to the rich information that they provide on nocturnal light emissions. However, the VNP46A2 product, which is limited by considerable challenges stemming fro...

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主要な著者:	Gaoran Xu, Changfeng Jing, Sheng Yao, Jinxiu Liu, Xiangyu Hao, Shuhui Gong, Kai Yan, Songnian Li
フォーマット:	Artigo
言語:	Inglês
出版事項:	Taylor & Francis Group 2026-01-01
シリーズ:	International Journal of Digital Earth
主題:	Nighttime light (NTL) gap-filling graph neural networks (GNNs) spatiotemporal anisotropic
オンライン･アクセス:	https://www.tandfonline.com/doi/10.1080/17538947.2026.2625544
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