NDLI: Automatic cloud removal for Landsat 8 OLI images using cirrus band

Content Provider	IEEE Xplore Digital Library
Author	Meng Xu Xiuping Jia Pickering, M.
Copyright Year	2014
Description	Author affiliation: Sch. of Eng. & Inf. Technol., Univ. of New South Wales, Canberra, ACT, Australia (Meng Xu; Xiuping Jia; Pickering, M.)
Abstract	The detection of cirrus cloud has historically been difficult due to the lack of a 1.375μm wavelength band in earlier Landsat ETM+ imagery. Landsat 8 OLI has addressed this problem by adding a new cirrus band at this wavelength. This paper presents a study of the effectiveness of utilizing the newly available data for this purpose. An image-based method is developed for cirrus cloud contamination correction. The relationship between a visible or infrared band and the cirrus band is estimated via a linear regression using the data in a homogenous land cover area. The key issue of how to automatic identify homogenous background from the cirrus contaminated data is addressed. The images corrected by our method show satisfactory quality.
Sponsorship	IEEE Geosci. Remote Sens. Soc.
Starting Page	2511
Ending Page	2514
File Size	571204
Page Count	4
File Format	PDF
ISBN	9781479957750
DOI	10.1109/IGARSS.2014.6946983
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-07-13
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Clouds Remote sensing Satellites Earth Atmospheric modeling Contamination Water pollution cirrus cloud removal Landsat 8 OLI
Content Type	Text
Resource Type	Article

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