Remote sensing of water clouds temperature with an infrared camera on board the International Space Station in the frame of Japan Experiment module-Extreme Universe Space Observatory mission Articles uri icon

publication date

  • April 2014


  • 1(084990)


  • 8

International Standard Serial Number (ISSN)

  • 1931-3195


  • The Extreme Universe Space Observatory (EUSO) is an astronomical telescope that will be hosted by the Japan Experiment Module (JEM) on the International Space Station. The telescope will determine ultrahigh-energy cosmic ray properties by measuring the UV fluorescence light generated in the interaction between the cosmic rays and the atmosphere. Therefore, cloud information is crucial for a proper interpretation of the data. To obtain the cloud top height, an infrared (IR) camera is being designed. The design is constrained by JEM-EUSO requirements, which have led to a bi-spectral camera option (10.8- and 12-mum bands). The bi-spectral design has allowed us to develop a split-window algorithm to correct the atmospheric effects and retrieve the cloud temperature from the brightness temperatures (BTs) in the bands aforementioned. The algorithm has been validated in synthetic scenarios at pixel level. The results show that the algorithm is able to retrieve the temperature with accuracy much better than the requirement of 3K. It has also been tested in two-dimensional scenarios by applying it to moderate resolution imaging spectroradiometer (MODIS) images of BTs in bands 31 similar to those of the IR camera. The retrieved temperatures are in a very good agreement with the temperatures given by MODIS. © 2014 Society of Photo-Optical Instrumentation Engineers.


  • cloud top temperature; infrared camera; japan experiment module-extreme universe space observatory mission; modis images; split-window algorithm; algorithms; cosmic rays; experiments; infrared devices; radiometers; satellite imagery; telescopes; temperature indicating cameras; cloud-top temperatures; infra-red cameras; modis images; space observatories; split window algorithms; observatories