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International Journal of Remote Sensing Volume 27, 2006 - Issue 16
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Original Articles

Mesoscale cloud pattern classification over ocean with a neural network using a new index of cloud variability

D. Lafont Laboratoire de Météorologie Physique, CNRS, Université Blaise Pascal, Observatoire de Physique du Globe de Clermont‐Ferrand, FranceCorrespondence[email protected]
,
O. Jourdan Institute of Environmental Physics, University of Bremen, Bremen, Germany
&
B. Guillemet Laboratoire de Météorologie Physique, CNRS, Université Blaise Pascal, Observatoire de Physique du Globe de Clermont‐Ferrand, France
Pages 3533-3552 | Received 27 Oct 2004, Accepted 27 Apr 2005, Published online: 22 Feb 2007

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J.‐M. Yeom, K.‐S. Han, Y.‐S. Kim & J.‐D. Jang. (2008) Neural network determination of cloud attenuation to estimate insolation using MTSAT‐1R data. International Journal of Remote Sensing 29:21, pages 6193-6208.
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Articles from other publishers (8)

Stavros Kolios. (2023) Hail detection from Meteosat satellite imagery using a deep learning neural network and a new remote sensing index. Advances in Space Research.
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Chongchong Qi, Andy FourieGuowei MaXiaolin TangXuhao Du. (2018) Comparative Study of Hybrid Artificial Intelligence Approaches for Predicting Hangingwall Stability. Journal of Computing in Civil Engineering 32:2.
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Guanhui Cheng, Guohe Huang, Cong Dong, Ye Xu & Yao Yao. (2017) Factorial inferential grid grouping and representativeness analysis for a systematic selection of representative grids. Earth and Space Science 4:8, pages 554-573.
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Alireza Taravat, Simon Proud, Simone Peronaci, Fabio Del Frate & Natascha Oppelt. (2015) Multilayer Perceptron Neural Networks Model for Meteosat Second Generation SEVIRI Daytime Cloud Masking. Remote Sensing 7:2, pages 1529-1539.
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V. G. Astafurov, D. N. Laikom & A. V. Skorokhodov. Software system for cloud classification according to MODIS satellite images. Software system for cloud classification according to MODIS satellite images.
R. Tapakis & A.G. Charalambides. (2013) Equipment and methodologies for cloud detection and classification: A review. Solar Energy 95, pages 392-430.
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Jong-Min Yeom & Kyung-Soo Han. (2010) Improved estimation of surface solar insolation using a neural network and MTSAT-1R data. Computers & Geosciences 36:5, pages 590-597.
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Chavarria M. A. Perez, C. Mejia, C. Mallet, M. Crepon, F. Badran & S. Thiria. (2009) Rain rate retrieval by processing the observations of the 85<inf>V</inf> and 85<inf>H</inf> GHz channels of the SSM/I and TMI passive microwave sensors. Rain rate retrieval by processing the observations of the 85<inf>V</inf> and 85<inf>H</inf> GHz channels of the SSM/I and TMI passive microwave sensors.

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