Arid
DOI10.1080/01431161.2020.1763505
Evaluation of satellite-retrieved evapotranspiration based on a nonparametric approach over an arid region
Pan, Xin; You, Chaoshuai; Liu, Yuanbo; Shi, Chunxiang; Han, Shuai; Yang, Yingbao; Hu, Jia
通讯作者Liu, YB
来源期刊INTERNATIONAL JOURNAL OF REMOTE SENSING
ISSN0143-1161
EISSN1366-5901
出版年2020
卷号41期号:19页码:7605-7623
英文摘要Daily evapotranspiration (ET) controlled by latent energy (LE) is an important variable used in the study of hydrology, meteorology, and ecology. A constant solar radiation ratio approach was introduced to the LE retrieval algorithm based on a nonparametric ET approach to upscale instantaneous LE temporally. On the basis of the proposed algorithm, this study retrieved the daily and eight-day LE using Moderate-resolution Imaging Spectroradiometer (MODIS) and China Meteorological Administration Land Data Assimilation System products and evaluated the daily and eight-day LE retrieval by using the ground observations and MOD16 product in Zhangye City during 25 June to 15 September 2012. Results show that the temporal-spatial distribution of retrieved result was reliable. The retrieved daily/eight-day LE could capture the dynamic change of ground observations, whereas the MOD16 LE was invalid. The retrieved daily (eight-day) LE was underestimated at all four (two) sites, with bias, root mean square error, andR(2)of -7.9 to -2.2 W m(-2)(approximately -5 W m(-2)), 19.8 to 39.0 W m(-2)(approximately 10 W m(-2)), and 0.72 to 0.84 (approximately 0.9), respectively. The proposed approach showed more satisfactory performance than the triangle approach under clear sky condition. The eight-day LE retrieval was considerably better than MOD16 LE and had (no/slight) influence on MOD16 LE (eight-day retrieval). In addition, the accurate estimation of net radiation, soil heat flux, land surface temperature, and air temperature could aid in improving LE retrieval. Future studies would focus on the improvement of the retrieval algorithm, input accuracy, and residuals.
类型Article
语种英语
收录类别SCI-E
WOS记录号WOS:000550972700001
WOS关键词BALANCE SYSTEM SEBS ; SURFACE-TEMPERATURE ; EDDY-COVARIANCE ; HEAT-FLUX ; EVAPORATION ; MODEL ; MODIS ; RECONSTRUCTION ; METHODOLOGY ; PERFORMANCE
WOS类目Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向Remote Sensing ; Imaging Science & Photographic Technology
来源机构河海大学
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/325129
作者单位[Pan, Xin; You, Chaoshuai; Yang, Yingbao; Hu, Jia] Hohai Univ, Sch Earth Sci & Engn, Nanjing, Peoples R China; [Pan, Xin] China Univ Min & Technol, Jiangsu Key Lab Resources & Environm Informat Eng, Xuzhou, Jiangsu, Peoples R China; [Liu, Yuanbo] Chinese Acad Sci, Nanjing Inst Geog & Limnol, Nanjing, Peoples R China; [Shi, Chunxiang; Han, Shuai] China Meteorol Adm, Natl Satellite Meteorol Ctr, Beijing, Peoples R China
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GB/T 7714
Pan, Xin,You, Chaoshuai,Liu, Yuanbo,et al. Evaluation of satellite-retrieved evapotranspiration based on a nonparametric approach over an arid region[J]. 河海大学,2020,41(19):7605-7623.
APA Pan, Xin.,You, Chaoshuai.,Liu, Yuanbo.,Shi, Chunxiang.,Han, Shuai.,...&Hu, Jia.(2020).Evaluation of satellite-retrieved evapotranspiration based on a nonparametric approach over an arid region.INTERNATIONAL JOURNAL OF REMOTE SENSING,41(19),7605-7623.
MLA Pan, Xin,et al."Evaluation of satellite-retrieved evapotranspiration based on a nonparametric approach over an arid region".INTERNATIONAL JOURNAL OF REMOTE SENSING 41.19(2020):7605-7623.
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