Testing single band cloud removal algorithms for SSM/I: an equatorial forest simulation approach

Author

Hardin, Perry J. ; Jackson, Mark W.

Author_Institution

Center for Remote Sensing, Brigham Young Univ., Provo, UT, USA

Volume

5

fYear

2000

fDate

2000

Firstpage

2161

Abstract

Recently there has been renewed interest in using low-resolution imagery from weather and ocean satellites to monitor Earth´s vegetation. The removal of cloud cover from this imagery is an important preprocessing task. This research was designed to test various heuristics for removing clouds from time sequences of 85 GHz vertically polarized SSM/I data without reference to any other SSM/1 channel. The algorithms were tested on a synthetic dataset designed to simulate the characteristics of rainfall contamination over the Amazon Basin. Nearly all of the algorithms were successful at removing cloud cover, but they differed in their sensitivity to various operator parameters

Keywords

forestry; geophysical signal processing; geophysical techniques; radiometry; remote sensing; vegetation mapping; 85 GHz; Amazon; SSM/I; cloud removal algorithm; equatorial forest; geophysical measurement technique; low-resolution imagery; microwave radiometry; remote sensing; satellite remote sensing; simulation; single band; vegetation mapping; Algorithm design and analysis; Clouds; Contamination; Earth; Monitoring; Oceans; Polarization; Satellites; Testing; Vegetation mapping;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 2000. Proceedings. IGARSS 2000. IEEE 2000 International

Conference_Location

Honolulu, HI

Print_ISBN

0-7803-6359-0

Type

conf

DOI

10.1109/IGARSS.2000.858341

Filename

858341