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Prof. Chris Ruf leads the Remote Sensing Group (RSG) in the Climate and Space Sciences and Engineering Department (CLaSP) of the College of Engineering, University of Michigan. RSG develops new remote sensing methods and applies them to atmospheric, oceanographic, and terrestial investigations on Earth and to lunar and planetary investigations in space. Remote sensing research in RSG includes the development of forward model inversion algorithms to estimate geophysical parameters from engineering measurements, the development of forward models to predict engineering measurements from the geophysical state, the design and development of remote sensing technologies and instruments to enable new types of measurements, and the development and application of new methods for calibrating raw remote sensing measurements. Most of the recent research activity in RSG has been related to the NASA Cyclone Global Navigation Satellite System mission.
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论文共 389 篇作者统计合作学者相似作者
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensingno. 99 (2024): 1-13
Erik Hodges,Clara Chew,Eric Small,Mohammad Al-Khaldi, Jeffrey D. Ouellette,Joel T. Johnson,Fangni Lei,Mehmet Kurum, Ali Gurbuz,Volkan Senyurek,Xiaolan Xu,Rashmi Shah,
2024 United States National Committee of URSI National Radio Science Meeting (USNC-URSI NRSM)pp.174-174, (2024)
2024 United States National Committee of URSI National Radio Science Meeting (USNC-URSI NRSM)pp.173-173, (2024)
REMOTE SENSING OF ENVIRONMENT (2024): 113896
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING (2024): 2336-2346
REMOTE SENSINGno. 5 (2024): 742
IGARSS 2023 - 2023 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUMpp.4322-4323, (2023)
IGARSS 2023 - 2023 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUMpp.3724-3725, (2023)
IEEE Trans. Geosci. Remote. Sens. (2023): 1-11
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