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Estimation of atmospheric temperature and humidity profiles from MODIS data and radiosond data using artificial neural network
(Journal article; Tidsskriftartikkel; Peer reviewed, 2008)
The aim of this study is to test the quality of the neural network for retrieving the temperature and humidity by comparison with the radiosond values and a linear regression method. Remote sensed images give useful information about the atmosphere. In this article, MODIS data is used to retrieve temperature and humidity profiles of the atmosphere. Two methods of linear regression and artificial ...