Automatic cloud analysis from polar-orbiting satellites using neural network and data fusion techniques

Author

Loyola, D.G.R.

Author_Institution

Remote Sensing Technol. Inst., German Aerosp. Center, Wessling, Germany

Volume

4

fYear

2004

fDate

20-24 Sept. 2004

Firstpage

2530

Abstract

This paper presents the automatic retrieval of cloud information combining two algorithms that use optical and spectral information. The first algorithm is based on data fusion techniques and determines the cloud fraction using optical information in the UV/VIS range. The second algorithm is based on neural networks techniques and determines the cloud-top height and cloud-top albedo using spectral information in the Oxygen A-band in and around 760 nm.

Keywords

artificial satellites; atmospheric techniques; clouds; neural nets; sensor fusion; 760 nm; UV/VIS range; automatic cloud analysis; automatic cloud information retrieval; cloud fraction; cloud recognition; cloud-top albedo; cloud-top height; data fusion techniques; neural network techniques; optical information; oxygen A-band; polar-orbiting satellites; spectral information; Clouds; Extraterrestrial measurements; Information retrieval; Neural networks; Optical computing; Optical sensors; Pollution measurement; Reflectivity; Satellites; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004 IEEE International

Print_ISBN

0-7803-8742-2

Type

conf

DOI

10.1109/IGARSS.2004.1369811

Filename

1369811