Data and Information Quality in Remote Sensing-Reference-Cited by-同舟云学术

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Data and Information Quality in Remote Sensing

Published:2019 Issue: Volume: Page:401-421
ISSN:2510-1528
Container-title:Information Fusion and Data Science
language:
Short-container-title:

Author:

Puentes John,Lecornu Laurent,Solaiman Basel

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-03643-0_17

Reference95 articles.

1. J.B. Campbell, R.H. Wynne, Introduction to Remote Sensing (Guilford Press, New York, 2011)

2. Y. Ma, H. Wu, L. Wang, B. Huang, R. Ranjan, A. Zomaya, W. Jie, Remote sensing big data computing: Challenges and opportunities. Futur. Gener. Comput. Syst. 51, 47–60 (2015)

3. T. Miyoshi, K. Kondo, K. Terasaki, Big ensemble data assimilation in numerical weather prediction. Computer 11, 15–21 (2015)

4. T. Miyoshi, M. Kunii, J. Ruiz, G.Y. Lien, S. Satoh, T. Ushio, et al., Big data assimilation – revolutionizing severe weather prediction. Bull. Am. Meteorol. Soc. 97(8), 1347–1354 (2016)

5. E. Osuteye, C. Johnson, D. Brown, The data gap: An analysis of data availability on disaster losses in sub-Saharan African cities. Int. J. Disaster Risk Reduction 26, 24–33 (2017)

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1. Data quality assessment through a preference model;Journal of Data and Information Quality;2023-11-29

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