Arid
DOI10.3390/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
ISSN2072-4292
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).
条目包含的文件
条目无相关文件。
个性服务
推荐该条目
保存到收藏夹
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Knipper, Kyle]的文章
[Hogue, Terri]的文章
[Scott, Russell]的文章
百度学术
百度学术中相似的文章
[Knipper, Kyle]的文章
[Hogue, Terri]的文章
[Scott, Russell]的文章
必应学术
必应学术中相似的文章
[Knipper, Kyle]的文章
[Hogue, Terri]的文章
[Scott, Russell]的文章
相关权益政策
暂无数据
收藏/分享

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。