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11 September 2017 Fusion of satellite-based imager and sounder data to construct supplementary high spatial resolution narrowband IR radiances
Elisabeth Weisz, Bryan A. Baum, W. Paul Menzel
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Funded by: NASA Terrestrial Hydrology Program
Journal of Applied Remote Sensing, Vol. 11, Issue 3, 036022 (September 2017). https://doi.org/10.1117/1.JRS.11.036022
Abstract
Polar-orbiting weather satellite platforms generally include an imager and a sounder.With a data fusion method that uses these sensors, we demonstrate the ability to construct infrared(IR)absorption narrowband radiances at imager resolution. While a sensor such as MODIShas multiple IR absorption bands, the current visible infrared imaging radiometer suite (VIIRS)imager has only IR window bands. We show fusion results for IR radiances at 4.52 μm (CO2), 6.72 μm (H2O), and 13.94 μm (CO2) by comparing MODIS observed and constructed radiances for these bands. Both regional and global results are analyzed, with radiance differences tending to be fairly low and unbiased. Similar bands are constructed from VIIRS and CrIS data, with regional and global results shown.With this approach, it will be possible to improve continuity in derived cloud products over the generations of polar-orbiting weather satellite sensors and continue applications that require IR absorption bands.
CC BY: © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.
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Elisabeth Weisz, Bryan A. Baum, and W. Paul Menzel "Fusion of satellite-based imager and sounder data to construct supplementary high spatial resolution narrowband IR radiances," Journal of Applied Remote Sensing 11(3), 036022 (11 September 2017). https://doi.org/10.1117/1.JRS.11.036022
Received: 8 June 2017; Accepted: 17 August 2017; Published: 11 September 2017
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Cited by 12 scholarly publications.
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KEYWORDS
Imaging systems
MODIS
Infrared imaging
Spatial resolution
Clouds
Satellites
Data fusion
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