气候变化领域集成服务门户(CCPortal): Scene invariants for quantifying radiative transfer uncertainty

CCPortal

DOI	10.1016/j.rse.2021.112432
	Scene invariants for quantifying radiative transfer uncertainty
	Thompson D.R.; Bohn N.; Braverman A.; Brodrick P.G.; Carmon N.; Eastwood M.L.; Fahlen J.E.; Green R.O.; Johnson M.C.; Roberts D.A.; Susiluoto J.
发表日期	2021
ISSN	00344257
卷号	260
英文摘要	Remote imaging spectroscopy, also known as hyperspectral imaging, uses Radiative Transfer Models (RTMs) to predict the measured radiance spectrum for a specific surface and atmospheric state. Discrepancies between RTM assumptions and physical reality can cause systematic errors in surface property estimates. We present a statistical method to quantify these model errors without invoking ground reference data. Our approach exploits scene invariants — properties of the environment which are stable over space or time — to estimate RTM discrepancies. We describe techniques for discovering these features opportunistically in flight data. We then demonstrate data-driven methods that estimate the aggregate errors due to model discrepancies without having to explicitly identify the underlying physical mechanisms. The resulting distributions can improve posterior uncertainty predictions in operational retrievals. © 2021 Elsevier Inc.
英文关键词	Hyperspectral imaging; Imaging spectroscopy; Uncertainty quantification
语种	英语
scopus关键词	Hyperspectral imaging; Radiative transfer; Systematic errors; HyperSpectral; Imaging spectroscopy; Model assumptions; Model discrepancies; Radiance spectra; Radiative transfer modelling; Remote imaging; Specific surface; Uncertainty; Uncertainty quantifications; Spectroscopy
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/178837
作者单位	Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA 91109, United States; GFZ German Research Centre for Geosciences, Potsdam, 14473, Germany; University of California Santa Barbara, Santa Barbara, CA 93106, United States
推荐引用方式 GB/T 7714	Thompson D.R.,Bohn N.,Braverman A.,et al. Scene invariants for quantifying radiative transfer uncertainty[J],2021,260.
APA	Thompson D.R..,Bohn N..,Braverman A..,Brodrick P.G..,Carmon N..,...&Susiluoto J..(2021).Scene invariants for quantifying radiative transfer uncertainty.Remote Sensing of Environment,260.
MLA	Thompson D.R.,et al."Scene invariants for quantifying radiative transfer uncertainty".Remote Sensing of Environment 260(2021).