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Found 2 publication(s)

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Kühnlein, M.; Appelhans, T.; Thies, B. & Nauss, T. (2014): Improving the accuracy of rainfall rates from optical satellite sensors with machine learning — A random forests-based approach applied to MSG SEVIRI. Remote Sensing of Environment 141, 129–143.
Bendix, A.; Bendix, J.; Gämmerler, S.; Reudenbach, C. & Weise, S., The El Niño 1997/98 as seen from space – rainfall retrieval and investigation of rainfall dynamics with GOES-8 and TRMM data(2003), pp. 647-652.
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