Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.3390/rs9030184 |
Evapotranspiration Estimates Derived Using Multi-Platform Remote Sensing in a Semiarid Region | |
Knipper, Kyle1; Hogue, Terri1; Scott, Russell2; Franz, Kristie3 | |
通讯作者 | Knipper, Kyle |
来源期刊 | REMOTE SENSING
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ISSN | 2072-4292 |
出版年 | 2017 |
卷号 | 9期号:3 |
英文摘要 | Evapotranspiration (ET) is a key component of the water balance, especially in arid and semiarid regions. The current study takes advantage of spatially-distributed, near real-time information provided by satellite remote sensing to develop a regional scale ET product derived from remotely-sensed observations. ET is calculated by scaling PET estimated from Moderate Resolution Imaging Spectroradiometer (MODIS) products with downscaled soil moisture derived using the Soil Moisture Ocean Salinity (SMOS) satellite and a second order polynomial regression formula. The MODis-Soil Moisture ET (MOD-SMET) estimates are validated using four flux tower sites in southern Arizona USA, a calibrated empirical ET model, and model output from Version 2 of the North American Land Data Assimilation System (NLDAS-2). Validation against daily eddy covariance ET indicates correlations between 0.63 and 0.83 and root mean square errors (RMSE) between 40 and 96 W/m(2). MOD-SMET estimates compare well to the calibrated empirical ET model, with a -0.14 difference in correlation between sites, on average. By comparison, NLDAS-2 models underestimate daily ET compared to both flux towers and MOD-SMET estimates. Our analysis shows the MOD-SMET approach to be effective for estimating ET. Because it requires limited ancillary ground-based data and no site-specific calibration, the method is applicable to regions where ground-based measurements are not available. |
英文关键词 | evapotranspiration remote sensing soil moisture Arizona semiarid regions |
类型 | Article |
语种 | 英语 |
国家 | USA |
收录类别 | SCI-E |
WOS记录号 | WOS:000398720100001 |
WOS关键词 | PRIESTLEY-TAYLOR PARAMETER ; ENHANCED VEGETATION INDEX ; LAND-SURFACE EVAPORATION ; ENERGY BALANCE ALGORITHM ; SOIL-MOISTURE RETRIEVAL ; RIPARIAN EVAPOTRANSPIRATION ; PART I ; MAPPING EVAPOTRANSPIRATION ; EDDY-COVARIANCE ; CARBON-DIOXIDE |
WOS类目 | Remote Sensing |
WOS研究方向 | Remote Sensing |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/201929 |
作者单位 | 1.Colorado Sch Mines, Hydrol Sci & Engn, Dept Civil & Environm Engn, Golden, CO 80401 USA; 2.USDA ARS, Southwest Watershed Res Ctr, 2000 E Allen Rd, Tucson, AZ 85719 USA; 3.Iowa State Univ, Dept Geol & Atmospher Sci, 253 Sci, Ames, IA 50011 USA |
推荐引用方式 GB/T 7714 | Knipper, Kyle,Hogue, Terri,Scott, Russell,et al. Evapotranspiration Estimates Derived Using Multi-Platform Remote Sensing in a Semiarid Region[J],2017,9(3). |
APA | Knipper, Kyle,Hogue, Terri,Scott, Russell,&Franz, Kristie.(2017).Evapotranspiration Estimates Derived Using Multi-Platform Remote Sensing in a Semiarid Region.REMOTE SENSING,9(3). |
MLA | Knipper, Kyle,et al."Evapotranspiration Estimates Derived Using Multi-Platform Remote Sensing in a Semiarid Region".REMOTE SENSING 9.3(2017). |
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