气候变化领域集成服务门户(CCPortal): Estimation of Surface Soil Moisture from Thermal Infrared Remote Sensing Using an Improved Trapezoid Method

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DOI	10.3390/rs70708250
	Estimation of Surface Soil Moisture from Thermal Infrared Remote Sensing Using an Improved Trapezoid Method
	Yang, Yuting; Guan, Huade; Long, Di; Liu, Bing; Qin, Guanghua; Qin, Jun; Batelaan, Okke
通讯作者	Yang, YT (通讯作者)
发表日期	2015
EISSN	2072-4292
起始页码	8250
结束页码	8270
卷号	7 期号:7
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 (F-c) 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 F-c/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 m(3)center dot m(-3) at the site level and 0.03 m(3)center dot m(-3) 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 F-c/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.
关键词	TRIANGLE METHOD ENERGY FLUXES WATER STORAGE MODEL EVAPOTRANSPIRATION RETRIEVALS NETWORK TEMPERATURE PREDICTION ALGORITHM
语种	英语
WOS研究方向	Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
WOS类目	Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS记录号	WOS:000360919900001
来源期刊	REMOTE SENSING
来源机构	中国科学院青藏高原研究所
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/258584
推荐引用方式 GB/T 7714	Yang, Yuting,Guan, Huade,Long, Di,et al. Estimation of Surface Soil Moisture from Thermal Infrared Remote Sensing Using an Improved Trapezoid Method[J]. 中国科学院青藏高原研究所,2015,7(7).
APA	Yang, Yuting.,Guan, Huade.,Long, Di.,Liu, Bing.,Qin, Guanghua.,...&Batelaan, Okke.(2015).Estimation of Surface Soil Moisture from Thermal Infrared Remote Sensing Using an Improved Trapezoid Method.REMOTE SENSING,7(7).
MLA	Yang, Yuting,et al."Estimation of Surface Soil Moisture from Thermal Infrared Remote Sensing Using an Improved Trapezoid Method".REMOTE SENSING 7.7(2015).