Title :
Joint Temperature and Nitrogen Dioxide Vertical Profiles from UV/VIS Satellite Data for Air Pollution Monitoring from Space
Author :
Sellitto, Pasquale ; Del Frate, Fabio ; Solimini, Domenico
Author_Institution :
Earth Obs. Lab., Tor Vergata Univ., Rome
Abstract :
The design and development of two neural network (NN) algorithms for retrieving atmospheric height-resolved temperature and nitrogen dioxide from UV/VIS satellite radiance data are presented. Sensitivity analyses, NNs optimization and results are discussed, based on radiative transfer simulations. The approach may lead to synergistic monitoring of different atmospheric parameters from the same UV/VIS radiance measurement.
Keywords :
air pollution; atmospheric techniques; atmospheric temperature; neural nets; nitrogen compounds; NiO2; UV/VIS satellite data; air pollution monitoring; joint temperature; neural network algorithms; nitrogen dioxide vertical profile; satellite radiance data; Air pollution; Algorithm design and analysis; Atmospheric modeling; Information retrieval; Monitoring; Neural networks; Nitrogen; Satellites; Sensitivity analysis; Temperature sensors; Atmospheric pollution; Neural Networks; UV/VIS satellite data; atmospheric profiling;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2008. IGARSS 2008. IEEE International
Conference_Location :
Boston, MA
Print_ISBN :
978-1-4244-2807-6
Electronic_ISBN :
978-1-4244-2808-3
DOI :
10.1109/IGARSS.2008.4779311
