Cloud cover detection algorithm for EO-1 Hyperion imagery

Author

Griggin, M. ; Burke, Hsiao-Hua ; Mandl, Dan ; Miller, Jerry

Author_Institution

Lincoln Lab., MIT, Lexington, MA, USA

Volume

1

fYear

2003

fDate

21-25 July 2003

Firstpage

86

Abstract

A cloud cover detection algorithm was developed for application to EO-1 Hyperion hyperspectral data. The algorithm uses only band in the reflected solar spectral regions to discriminate clouds from surface features such as snow, ice, and desert sand and was designed to be used on-board the EO-1 satellite as part of the EO-1 Extended Mission Phase of the EO-1 Science Program. The code was developed using 20 Hyperion scenes with varying cloud amount, cloud type, underlying surface characteristics and seasonal conditions. Results from the application of the algorithm to these test scenes are given with a discussion on the accuracy of the procedure used in the cloud cover discrimination.

Keywords

atmospheric techniques; clouds; data acquisition; sand; snow; EO-1 Extended Mission Phase; EO-1 Hyperion data; EO-1 Hyperion imagery; EO-1 Science Program; EO-1 satellite; cloud amount; cloud cover detection algorithm; cloud cover discrimination; cloud type; desert sand; hyperspectral data; ice; reflected solar spectral regions; snow; surface features; Clouds; Detection algorithms; Hyperspectral imaging; Hyperspectral sensors; Infrared detectors; Layout; Reflectivity; Satellites; Sensor phenomena and characterization; Surface topography;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 2003. IGARSS '03. Proceedings. 2003 IEEE International

Print_ISBN

0-7803-7929-2

Type

conf

DOI

10.1109/IGARSS.2003.1293687

Filename

1293687