CPMF:通过耦合物理模型、机器学习和时空融合模型生成 30 米全天候陆地表面温度的集成技术

IF 7.5 1区 地球科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC IEEE Transactions on Geoscience and Remote Sensing Pub Date : 2024-11-25 DOI:10.1109/tgrs.2024.3505933
Jinhua Gao, Hao Sun, Zhenheng Xu, Tian Zhang, Huanyu Xu, Dan Wu, Xiang Zhao
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CPMF: An integrated technology for generating 30-m, all-weather land surface temperature by Coupling Physical model, Machine learning and spatiotemporal Fusion model
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来源期刊
IEEE Transactions on Geoscience and Remote Sensing
IEEE Transactions on Geoscience and Remote Sensing 工程技术-地球化学与地球物理
CiteScore
11.50
自引率
28.00%
发文量
1912
审稿时长
4.0 months
期刊介绍: IEEE Transactions on Geoscience and Remote Sensing (TGRS) is a monthly publication that focuses on the theory, concepts, and techniques of science and engineering as applied to sensing the land, oceans, atmosphere, and space; and the processing, interpretation, and dissemination of this information.
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