Validation and Application of the Modified Satellite-Based   Priestley-Taylor Algorithm for Mapping Terrestrial Evapotranspiration

doi:10.3390/rs6010880

CORC > 北京大学 > 地球与空间科学学院

	Validation and Application of the Modified Satellite-Based Priestley-Taylor Algorithm for Mapping Terrestrial Evapotranspiration
	Yao, Yunjun ; Liang, Shunlin ; Zhao, Shaohua ; Zhang, Yuhu ; Qin, Qiming ; Cheng, Jie ; Jia, Kun ; Xie, Xianhong ; Zhang, Nannan ; Liu, Meng
刊名	remote sens basel
	2014
关键词	modified satellite-based Priestley-Taylor algorithm PT-JPL algorithm terrestrial evapotranspiration vegetation index apparent thermal inertia LAND-SURFACE EVAPORATION GROSS PRIMARY PRODUCTION DROUGHT SEVERITY INDEX NET PRIMARY PRODUCTION REMOTELY-SENSED DATA SOIL-MOISTURE HEAT-FLUX REGIONAL EVAPOTRANSPIRATION DATA ASSIMILATION DRIVEN ESTIMATION
DOI	10.3390/rs6010880
英文摘要	Satellite-based vegetation indices (VIs) and Apparent Thermal Inertia (ATI) derived from temperature change provide valuable information for estimating evapotranspiration (LE) and detecting the onset and severity of drought. The modified satellite-based Priestley-Taylor (MS-PT) algorithm that we developed earlier, coupling both VI and ATI, is validated based on observed data from 40 flux towers distributed across the world on all continents. The validation results illustrate that the daily LE can be estimated with the Root Mean Square Error (RMSE) varying from 10.7 W/m(2) to 87.6 W/m(2), and with the square of correlation coefficient (R-2) from 0.41 to 0.89 (p < 0.01). Compared with the Priestley-Taylor-based LE (PT-JPL) algorithm, the MS-PT algorithm improves the LE estimates at most flux tower sites. Importantly, the MS-PT algorithm is also satisfactory in reproducing the inter-annual variability at flux tower sites with at least five years of data. The R-2 between measured and predicted annual LE anomalies is 0.42 (p = 0.02). The MS-PT algorithm is then applied to detect the variations of long-term terrestrial LE over Three-North Shelter Forest Region of China and to monitor global land surface drought. The MS-PT algorithm described here demonstrates the ability to map regional terrestrial LE and identify global soil moisture stress, without requiring precipitation information.; http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000335555900040&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=8e1609b174ce4e31116a60747a720701 ; Remote Sensing; SCI(E); EI; 11; ARTICLE; boyyunjun@163.com; sliang@umd.edu; zshyytt@126.com; zhang_yuhu@163.com; qmqinpku@163.com; brucechan2003@126.com; jiakun@bnu.edu.cn; xianhong@bnu.edu.cn; nn880324@126.com; xinyin_liumeng@163.com; 1; 880-904; 6
语种	英语
内容类型	期刊论文
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/390588]
专题	地球与空间科学学院
推荐引用方式 GB/T 7714	Yao, Yunjun,Liang, Shunlin,Zhao, Shaohua,et al. Validation and Application of the Modified Satellite-Based Priestley-Taylor Algorithm for Mapping Terrestrial Evapotranspiration[J]. remote sens basel,2014.
APA	Yao, Yunjun.,Liang, Shunlin.,Zhao, Shaohua.,Zhang, Yuhu.,Qin, Qiming.,...&Liu, Meng.(2014).Validation and Application of the Modified Satellite-Based Priestley-Taylor Algorithm for Mapping Terrestrial Evapotranspiration.remote sens basel.
MLA	Yao, Yunjun,et al."Validation and Application of the Modified Satellite-Based Priestley-Taylor Algorithm for Mapping Terrestrial Evapotranspiration".remote sens basel (2014).