A multi-channel approach to Greenland snowmelt estimation

Author

Pack, Jed D. ; Jensen, Michael A.

Author_Institution

Microwave Earth Remote Sensing Lab., Brigham Young Univ., Provo, UT, USA

Volume

4

fYear

2001

fDate

2001

Firstpage

1789

Abstract

Snowmelt monitoring on the Greenland ice sheet is important as an indicator of global climate change. A previous study employed a cross-polarized gradient ratio (XPGR) method to determine melt extent using two channels of SSM/I data. In this work, principal component analysis is presented as a method of characterizing such snowmelt using all seven SSM/I channels. A matrix is given for the projection of the seven channel data onto a two dimensional subspace wherein the melt/refreeze cycle is clear. Evidence is presented for the use of all seven channels to quantify melt intensity as well as duration

Keywords

atmospheric temperature; climatology; hydrological techniques; principal component analysis; remote sensing; snow; Greenland ice sheet; Greenland snowmelt estimation; SSM/I data; global climate change; melt/refreeze cycle; multi-channel approach; principal component analysis; two dimensional subspace; Brightness temperature; Earth; Ice; Laboratories; Matrix decomposition; Microwave theory and techniques; Principal component analysis; Region 3; Remote monitoring; Snow;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 2001. IGARSS '01. IEEE 2001 International

Conference_Location

Sydney, NSW

Print_ISBN

0-7803-7031-7

Type

conf

DOI

10.1109/IGARSS.2001.977072

Filename

977072