Arid
DOI10.3390/rs9080779
Estimating Daily Reference Evapotranspiration in a Semi-Arid Region Using Remote Sensing Data
Najmaddin, Peshawa M.1,2; Whelan, Mick J.1; Balzter, Heiko1,3
通讯作者Najmaddin, Peshawa M.
来源期刊REMOTE SENSING
ISSN2072-4292
出版年2017
卷号9期号:8
英文摘要

Estimating daily evapotranspiration is challenging when ground observation data are not available or scarce. Remote sensing can be used to estimate the meteorological data necessary for calculating reference evapotranspiration ETo. Here, we assessed the accuracy of daily ETo estimates derived from remote sensing (ETo-RS) compared with those derived from four ground-based stations (ETo-G) in Kurdistan (Iraq) over the period 2010-2014. Near surface air temperature, relative humidity and cloud cover fraction were derived from the Atmospheric Infrared Sounder/Advanced Microwave Sounding Unit (AIRS/AMSU), and wind speed at 10 m height from MERRA (Modern-Era Retrospective Analysis for Research and Application). Four methods were used to estimate ETo: Hargreaves-Samani (HS), Jensen-Haise (JH), McGuinness-Bordne (MB) and the FAO Penman Monteith equation (PM). ETo-G (PM) was adopted as the main benchmark. HS underestimated ETo by 2%-3% (R-2 = 0.86 to 0.90; RMSE = 0.95 to 1.2 mm day 1 at different stations). JH and MB overestimated ETo by 8% to 40% (R-2 = 0.85 to 0.92; RMSE from 1.18 to 2.18 mm day(-1)). The annual average values of ETo estimated using RS data and ground-based data were similar to one another reflecting low bias in daily estimates. They ranged between 1153 and 1893 mm year(-1) for ETo-G and between 1176 and 1859 mm year 1 for ETo-RS for the different stations. Our results suggest that ETo-RS (HS) can yield accurate and unbiased ETo estimates for semi-arid regions which can be usefully employed in water resources management.


英文关键词reference evapotranspiration (ETo) remote sensing AIRS/AMSU semi-arid region
类型Article
语种英语
国家England ; Iraq
收录类别SCI-E
WOS记录号WOS:000408605600017
WOS关键词PENMAN-MONTEITH ; REFERENCE CROP ; SATELLITE ; EQUATIONS ; RAINFALL ; MODELS
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/2XILL650/201958
作者单位1.Univ Leicester, Sch Geog Geol & Environm, Ctr Landscape & Climate Res, Leicester LE1 7RH, Leics, England;
2.Univ Sulaimani, Fac Agr Sci, Dept Soil & Water Sci, Sulaimani Bekrajo 46011, Kurdistan Regio, Iraq;
3.Univ Leicester, Natl Ctr Earth Observat, Leicester LE1 7RH, Leics, England
推荐引用方式
GB/T 7714
Najmaddin, Peshawa M.,Whelan, Mick J.,Balzter, Heiko. Estimating Daily Reference Evapotranspiration in a Semi-Arid Region Using Remote Sensing Data[J],2017,9(8).
APA Najmaddin, Peshawa M.,Whelan, Mick J.,&Balzter, Heiko.(2017).Estimating Daily Reference Evapotranspiration in a Semi-Arid Region Using Remote Sensing Data.REMOTE SENSING,9(8).
MLA Najmaddin, Peshawa M.,et al."Estimating Daily Reference Evapotranspiration in a Semi-Arid Region Using Remote Sensing Data".REMOTE SENSING 9.8(2017).
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