气候变化领域集成服务门户(CCPortal): Retrieval of land surface properties from an annual time series of Landsat TOA radiances during a drought episode using coupled radiative transfer models

CCPortal

DOI	10.1016/j.rse.2018.09.030
	Retrieval of land surface properties from an annual time series of Landsat TOA radiances during a drought episode using coupled radiative transfer models
	Bayat B.; van der Tol C.; Verhoef W.
发表日期	2020
ISSN	00344257
卷号	238
英文摘要	The accurate retrieval of land surface vegetation properties under varying environmental conditions from time series of moderately high spatial resolution satellite observations is challenging. By coupling various Radiative Transfer (RT) models one can describe the soil, vegetation and atmosphere contributions in a “bottom-up” approach and, thereby, simulate top-of-atmosphere (TOA) spectral radiance data comparable to satellite-observed TOA radiances. This makes it possible to retrieve vegetation properties directly from TOA radiances rather than from atmospherically corrected top-of-canopy (TOC) reflectance data. The advantages of this approach are that a separate atmospheric correction of the satellite images is not necessary, and that the anisotropic surface reflection can also be taken into account effectively. In this study, we coupled various RT models, including the brightness – shape – moisture (BSM) reflectance model of the soil, the optical radiative transfer (RTMo) model of vegetation and the ‘MODerate resolution atmospheric TRANsmission’ (MODTRAN) model of the atmosphere, to simulate an annual time series of Landsat satellite TOA radiances observed during a drought episode in California Mediterranean grasslands in 2004. The inversion of this coupled system through an optimization technique against Landsat TOA radiances resulted in direct retrieval of vegetation properties. We accommodated the surface anisotropic reflection in our coupled modeling and also defined a novel anisotropy index to quantitatively express the importance of this phenomenon in satellite image analysis for the first time. Our study showed that the coupled use of RT models was able to accurately reproduce the time series of observed TOA radiances collected under varying soil moisture contents during an extended drought episode. The proposed coupling approach is useful for successful retrieval of vegetation properties from time series of satellite TOA radiance data to produce maps of land surface properties and to monitor vegetation properties variations in an operational straightforward way. The approach can also be easily adapted for conducting multi-sensor time series studies, creating a much denser temporal sampling than would be possible for separate single sensors. © 2018 Elsevier Inc.
英文关键词	Anisotropic surface reflection; Drought episode; Inversion; Landsat observations; Optimization; RT models; Soil moisture deficit; Time series analysis; TOA radiance; Vegetation properties
语种	英语
scopus关键词	Anisotropy; Drought; Optimization; Radiative transfer; Reflection; Satellites; Soil moisture; Surface measurement; Surface properties; Vegetation; Anisotropic surfaces; Inversion; LANDSAT; Soil moisture deficits; TOA radiance; Vegetation properties; Time series analysis; anisotropy; atmospheric correction; atmospheric modeling; canopy reflectance; drought; environmental conditions; image analysis; irradiance; land surface; Landsat; observational method; optimization; radiative transfer; satellite altimetry; satellite data; satellite imagery; spatial resolution; spectral resolution; time series analysis; top of atmosphere; vegetation; California; United States
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/179492
作者单位	Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, P.O. Box 217, Enschede, 7500 AE, Netherlands
推荐引用方式 GB/T 7714	Bayat B.,van der Tol C.,Verhoef W.. Retrieval of land surface properties from an annual time series of Landsat TOA radiances during a drought episode using coupled radiative transfer models[J],2020,238.
APA	Bayat B.,van der Tol C.,&Verhoef W..(2020).Retrieval of land surface properties from an annual time series of Landsat TOA radiances during a drought episode using coupled radiative transfer models.Remote Sensing of Environment,238.
MLA	Bayat B.,et al."Retrieval of land surface properties from an annual time series of Landsat TOA radiances during a drought episode using coupled radiative transfer models".Remote Sensing of Environment 238(2020).