干旱区生态环境知识资源中心(Arid): Improving the STARFM Fusion Method for Downscaling the SSEBOP Evapotranspiration Product from 1 km to 30 m in an Arid Area in China

Arid

DOI	10.3390/rs15225411
	Improving the STARFM Fusion Method for Downscaling the SSEBOP Evapotranspiration Product from 1 km to 30 m in an Arid Area in China
	Sun, Jingjing; Wang, Wen; Wang, Xiaogang; Brocca, Luca
通讯作者	Wang, W
来源期刊	REMOTE SENSING
EISSN	2072-4292
出版年	2023
卷号	15 期号:22
英文摘要	Continuous evapotranspiration (ET) data with high spatial resolution are crucial for water resources management in irrigated agricultural areas in arid regions. Many global ET products are available now but with a coarse spatial resolution. Spatial-temporal fusion methods, such as the spatial and temporal adaptive reflectance fusion model (STARFM), can help to downscale coarse spatial resolution ET products. In this paper, the STARFM model is improved by incorporating the temperature vegetation dryness index (TVDI) into the data fusion process, and we propose a spatial and temporal adaptive evapotranspiration downscaling method (STAEDM). The modified method STAEDM was applied to the 1 km SSEBOP ET product to derive a downscaled 30 m ET for irrigated agricultural fields of Northwest China. The STAEDM exhibits a significant improvement compared to the original STARFM method for downscaling SSEBOP ET on Landsat-unavailable dates, with an increase in the squared correlation coefficients (r2) from 0.68 to 0.77 and a decrease in the root mean square error (RMSE) from 10.28 mm/10 d to 8.48 mm/10 d. The ET based on the STAEDM additionally preserves more spatial details than STARFM for heterogeneous agricultural fields and can better capture the ET seasonal dynamics. The STAEDM ET can better capture the temporal variation of 10-day ET during the whole crop growing season than SSEBOP.
英文关键词	evapotranspiration data fusion STARFM downscaling TVDI SSEBOP remote sensing
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:001113348500001
WOS关键词	RESOLUTION EVAPOTRANSPIRATION ; MODEL ; RECONSTRUCTION ; REFLECTANCE ; RETRIEVAL ; LANDSAT ; SPACE ; TIME
WOS类目	Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向	Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/398343
推荐引用方式 GB/T 7714	Sun, Jingjing,Wang, Wen,Wang, Xiaogang,et al. Improving the STARFM Fusion Method for Downscaling the SSEBOP Evapotranspiration Product from 1 km to 30 m in an Arid Area in China[J],2023,15(22).
APA	Sun, Jingjing,Wang, Wen,Wang, Xiaogang,&Brocca, Luca.(2023).Improving the STARFM Fusion Method for Downscaling the SSEBOP Evapotranspiration Product from 1 km to 30 m in an Arid Area in China.REMOTE SENSING,15(22).
MLA	Sun, Jingjing,et al."Improving the STARFM Fusion Method for Downscaling the SSEBOP Evapotranspiration Product from 1 km to 30 m in an Arid Area in China".REMOTE SENSING 15.22(2023).