An adaptive and automated method for masking cloud on Landsat data

Author

Li, Dacheng ; Tang, Ping ; Ge, Yanqin ; Yang, Jian

Author_Institution

Inst. of Remote Sensing Applic, Beijing, China

fYear

2012

fDate

22-27 July 2012

Firstpage

6251

Lastpage

6254

Abstract

In this paper, an automated cloud masking approach for Landsat images has been proposed. The methodology couples linear constraint extracted from the Tasseled Cap Transformation (TCT) and the Normalized Difference Vegetation Index (NDVI) for masking cloud. The results are assessed in comparison with the Automatic Cloud Cover Assessment (ACCA) algorithm and show a fine agreement for Landsat ETM+ images. Since the algorithm proposed here doesn´t rely on the thermal band and other accessorial data, this method could be applied to other high resolution sensors, like SPOT, HJ, IRS, et al.

Keywords

atmospheric techniques; clouds; geophysics computing; vegetation; ACCA algorithm; Landsat ETM+ images; Landsat data; Landsat images; adaptive method; automated cloud masking; automated method; automatic cloud cover assessment; high resolution sensors; normalized difference vegetation index; tasseled cap transformation; thermal band; Brightness; Earth; Image resolution; Remote sensing; Satellites; Thermal sensors; Landsat data; NDVI; TCT; cloud detection; linear constraint;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International

Conference_Location

Munich

ISSN

2153-6996

Print_ISBN

978-1-4673-1160-1

Electronic_ISBN

2153-6996

Type

conf

DOI

10.1109/IGARSS.2012.6352687

Filename

6352687