Estimation of surface soil moisture from thermal infrared remote sensing using an improved trapezoid method (EI)

CORC > 寒区旱区环境与工程研究所 > 中科院寒区旱区环境与工程研究所（未分类） > 期刊论文

	Estimation of surface soil moisture from thermal infrared remote sensing using an improved trapezoid method (EI)
	Yang Y.; Guan H.; Long D.; Liu B.; Qin G.; Qin J.; Batelaan O.
刊名	Remote Sensing
	2015
卷号	7 期号:7 页码:8250-8270
英文摘要	Surface soil moisture (SM) plays a fundamental role in energy and water partitioning in the soil-plant-atmosphere continuum. A reliable and operational algorithm is much needed to retrieve regional surface SM at high spatial and temporal resolutions. Here, we provide an operational framework of estimating surface SM at fine spatial resolutions (using visible/thermal infrared images and concurrent meteorological data) based on a trapezoidal space defined by remotely sensed vegetation cover (Finfc/inf) and land surface temperature (LST). Theoretical solutions of the wet and dry edges were derived to achieve a more accurate and effective determination of the Finfc/inf/LST space. Subjectivity and uncertainty arising from visual examination of extreme boundaries can consequently be largely reduced. In addition, theoretical derivation of the extreme boundaries allows a per-pixel determination of the VI/LST space such that the assumption of uniform atmospheric forcing over the entire domain is no longer required. The developed approach was tested at the Tibetan Plateau Soil Moisture/Temperature Monitoring Network (SMTMN) site in central Tibet, China, from August 2010 to August 2011 using Moderate Resolution Imaging Spectroradiometer (MODIS) Terra images. Results indicate that the developed trapezoid model reproduced the spatial and temporal patterns of observed surface SM reasonably well, with showing a root-mean-square error of 0.06 msup3/supmsup-3/sup at the site level and 0.03 msup3/supmsup-3/sup at the regional scale. In addition, a case study on 2 September 2010 highlighted the importance of the theoretically calculated wet and dry edges, as they can effectively obviate subjectivity and uncertainties in determining the Finfc/inf/LST space arising from visual interpretation of satellite images. Compared with Land Surface Models (LSMs) in Global Land Data Assimilation System-1, the remote sensing-based trapezoid approach gave generally better surface SM estimates, whereas the LSMs showed systematic underestimation. Sensitivity analyses suggested that the trapezoid method is most sensitive to field capacity and temperature but less sensitive to other meteorological observations and parameters. 2015 by the authors.
收录类别	EI
语种	英语
内容类型	期刊论文
源URL	[http://ir.casnw.net/handle/362004/27182]
专题	寒区旱区环境与工程研究所_中科院寒区旱区环境与工程研究所（未分类）_期刊论文
推荐引用方式 GB/T 7714	Yang Y.,Guan H.,Long D.,et al. Estimation of surface soil moisture from thermal infrared remote sensing using an improved trapezoid method (EI)[J]. Remote Sensing,2015,7(7):8250-8270.
APA	Yang Y..,Guan H..,Long D..,Liu B..,Qin G..,...&Batelaan O..(2015).Estimation of surface soil moisture from thermal infrared remote sensing using an improved trapezoid method (EI).Remote Sensing,7(7),8250-8270.
MLA	Yang Y.,et al."Estimation of surface soil moisture from thermal infrared remote sensing using an improved trapezoid method (EI)".Remote Sensing 7.7(2015):8250-8270.