气候变化领域集成服务门户(CCPortal): Cirrus clouds that adversely affect Landsat 8 images: What are they and how to detect them?

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DOI	10.1016/j.rse.2020.111884
	Cirrus clouds that adversely affect Landsat 8 images: What are they and how to detect them?
	Qiu S.; Zhu Z.; Woodcock C.E.
发表日期	2020
ISSN	00344257
卷号	246
英文摘要	We developed an algorithm called Cmask (Cirrus cloud mask) for cirrus cloud detection in Landsat 8 imagery using time series of Cirrus Band (1.36–1.39 μm) observations. For each pixel, a harmonic model, which includes a water vapor regressor, based on all available Cirrus Band observations is estimated using the Robust Iteratively Reweighted Least Squares (RIRLS) regression approach, and pixels affected by cirrus cloud are identified by comparing model predictions and actual satellite observations of the Cirrus Band Top-Of-Atmosphere (TOA) reflectance. Furthermore, we analyzed the effect of increasing Cirrus Band TOA reflectance on the surface reflectance of the Blue, Green, Red, Near Infrared (NIR), and two Shortwave Infrared (SWIR) (SWIR 1 and SWIR 2) Bands based on a set of globally distributed random samples. The goal of this study is to answer the question of what are cirrus clouds in the context of a Landsat observation, or more specifically, when should we identify a pixel as cirrus cloud such that we know the reflectance in the other spectral bands has been seriously affected by cirrus clouds. The challenge is to then develop a simple and operational algorithm for accurate detection of cirrus clouds in Landsat 8 images. The Cmask algorithm reduced almost by half the errors found in the U.S. Geological Survey (USGS) Quality Assessment (QA) Band for distinguishing cirrus cloud and clear observations (8% versus 15% error). © 2020 The Authors
英文关键词	Cirrus cloud detection; Cmask; Landsat 8; Time series; Water vapor
语种	英语
scopus关键词	Infrared devices; Infrared radiation; Iterative methods; Pixels; Reflection; Cirrus cloud detection; Iteratively reweighted least squares; Operational algorithms; Quality assessment; Satellite observations; Short wave infrared; Surface reflectance; U.s. geological surveys; Clouds; algorithm; cirrus; detection method; Landsat; observational method; pixel; regression analysis; satellite imagery; surface reflectance
来源期刊	Remote Sensing of Environment
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/179274
作者单位	Department of Natural Resources and the Environment, University of Connecticut, Storrs, CT 06269, United States; Department of Earth and Environment, Boston University, Boston, MA 02215, United States
推荐引用方式 GB/T 7714	Qiu S.,Zhu Z.,Woodcock C.E.. Cirrus clouds that adversely affect Landsat 8 images: What are they and how to detect them?[J],2020,246.
APA	Qiu S.,Zhu Z.,&Woodcock C.E..(2020).Cirrus clouds that adversely affect Landsat 8 images: What are they and how to detect them?.Remote Sensing of Environment,246.
MLA	Qiu S.,et al."Cirrus clouds that adversely affect Landsat 8 images: What are they and how to detect them?".Remote Sensing of Environment 246(2020).