干旱区生态环境知识资源中心(Arid): Mapping Vegetation Index-Derived Actual Evapotranspiration across Croplands Using the Google Earth Engine Platform

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DOI	10.3390/rs15041017
	Mapping Vegetation Index-Derived Actual Evapotranspiration across Croplands Using the Google Earth Engine Platform
	Abbasi, Neda; Nouri, Hamideh; Didan, Kamel; Barreto-Munoz, Armando; Borujeni, Sattar Chavoshi; Opp, Christian; Nagler, Pamela; Thenkabail, Prasad S.; Siebert, Stefan
通讯作者	Abbasi, N
来源期刊	REMOTE SENSING
EISSN	2072-4292
出版年	2023
卷号	15 期号:4
英文摘要	Precise knowledge of crop water consumption is essential to better manage agricultural water use, particularly in regions where most countries struggle with increasing water and food insecurity. Approaches such as cloud computing and remote sensing (RS) have facilitated access, process, and visualization of big geospatial data to map and monitor crop water requirements. To find the most reliable Vegetation Index (VI)-based evapotranspiration (ETa) for croplands in drylands, we modeled and mapped ETa using empirical RS methods across the Zayandehrud river basin in Iran for two decades (2000-2019) on the Google Earth Engine platform using the Normalized Difference Vegetation Index (NDVI) and the Enhanced Vegetation Index 2 (EVI2). Developed ET-VI products in this study comprise three NDVI-based ETa (ET-NDVI, ET-NDVI(scaled), and ET-NDVIKc) and an EVI2-based ETa (ET-EVI2). We (a) applied, for the first time, the ET-NDVI* method to croplands as a crop-independent index and then compared its performance with the ET-EVI2 and crop ET, and (b) assessed the ease and feasibility of the transferability of these methods to other regions. Comparing four ET-VI products showed that annual ET-EVI2 and ET-NDVI(scaled) estimations were close. ET-NDVIKc consistently overestimated ETa. Our findings indicate that ET-EVI2 and ET-NDVIKc were easy to parametrize and adopt to other regions, while ET-NDVI and ET-NDVI*(scaled) are site-dependent and sensitive to image acquisition time. ET-EVI2 performed robustly in arid and semi-arid regions making it a better tool. Future research should further develop and confirm these findings by characterizing the accuracy of VI-based ETa over croplands in drylands by comparing them with available ETa products and examining their performance using crop-specific comparisons.
英文关键词	actual evapotranspiration croplands drought GEE Vegetation Index (VI)
类型	Article
语种	英语
开放获取类型	gold, Green Published
收录类别	SCI-E
WOS记录号	WOS:000942295500001
WOS关键词	LEAF-AREA INDEX ; CROP COEFFICIENTS ; SEASONAL EVAPOTRANSPIRATION ; EMPIRICAL ALGORITHM ; GROUND MEASUREMENTS ; MODIS ; RIPARIAN ; RIVER ; IRRIGATION ; PHENOLOGY
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/2XILL650/398240
推荐引用方式 GB/T 7714	Abbasi, Neda,Nouri, Hamideh,Didan, Kamel,et al. Mapping Vegetation Index-Derived Actual Evapotranspiration across Croplands Using the Google Earth Engine Platform[J],2023,15(4).
APA	Abbasi, Neda.,Nouri, Hamideh.,Didan, Kamel.,Barreto-Munoz, Armando.,Borujeni, Sattar Chavoshi.,...&Siebert, Stefan.(2023).Mapping Vegetation Index-Derived Actual Evapotranspiration across Croplands Using the Google Earth Engine Platform.REMOTE SENSING,15(4).
MLA	Abbasi, Neda,et al."Mapping Vegetation Index-Derived Actual Evapotranspiration across Croplands Using the Google Earth Engine Platform".REMOTE SENSING 15.4(2023).