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

Volume

3

fYear

2008

fDate

7-11 July 2008

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/IGARSS.2008.4779311

Filename

4779311