A temporal filtering algorithm to reconstruct daily albedo series based on GLASS albedo product

Author

Liu, Nanfeng ; Liu, Qiang ; Wang, Lizhao ; Wen, Jianguang

Author_Institution

State Key Lab. of Remote Sensing Sci., Beijing Normal Univ., Beijing, China

fYear

2011

fDate

24-29 July 2011

Firstpage

4277

Lastpage

4280

Abstract

GLASS albedo is a newly developed global daily land- surface broadband albedo product with 1-km spatial resolution. There are two main deficiencies in GLASS albedo products: 1) large areas of missing data mainly caused by cloud coverage; 2) sharp fluctuations in time series due to noise and uncertainties in inversion algorithm. This paper proposed a temporal filtering algorithm to reconstruct daily albedo series from GLASS albedo products. Validation results show that this algorithm can fill data gaps and smooth albedo series effectively.

Keywords

albedo; filtering theory; geophysical signal processing; remote sensing; signal reconstruction; GLASS albedo product; cloud coverage induced missing data; daily albedo series reconstruction; global daily land surface broadband albedo; inversion algorithm uncertainties; temporal filtering algorithm; time series fluctuations; Broadband communication; Filtering algorithms; Glass; MODIS; Probability distribution; Remote sensing; Time series analysis; GLASS product; broadband albedo; daily series; temporal filtering algorithm;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium (IGARSS), 2011 IEEE International

Conference_Location

Vancouver, BC

ISSN

2153-6996

Print_ISBN

978-1-4577-1003-2

Type

conf

DOI

10.1109/IGARSS.2011.6050176

Filename

6050176