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

Content Provider	IEEE Xplore Digital Library
Author	Nanfeng Liu Qiang Liu Lizhao Wang Jianguang Wen
Copyright Year	2011
Description	Author affiliation: State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing, Applications of Chinese Academy of Science and Beijing Normal University, 100101, China (Nanfeng Liu; Qiang Liu; Jianguang Wen) \|\| College of Global Change and Earth System Science, Beijing Normal University, 100875, China (Lizhao Wang)
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.
Starting Page	4277
Ending Page	4280
File Size	449371
Page Count	4
File Format	PDF
ISBN	9781457710032
ISSN	21537003
e-ISBN	9781457710056
DOI	10.1109/IGARSS.2011.6050176
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-07-24
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Glass Filtering algorithms Broadband communication Remote sensing Probability distribution MODIS Time series analysis GLASS product broadband albedo daily series temporal filtering algorithm
Content Type	Text
Resource Type	Article

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