干旱区生态环境知识资源中心(Arid): Spatiotemporal trends and evapotranspiration estimation using an improvised SEBAL convergence method for the semi-arid region of Western Rajasthan, India

Arid

DOI	10.2166/aqua.2024.220
	Spatiotemporal trends and evapotranspiration estimation using an improvised SEBAL convergence method for the semi-arid region of Western Rajasthan, India
	Saxena, Dhruv; Choudhary, Mahender; Sharma, Gunwant
通讯作者	Saxena, D
来源期刊	AQUA-WATER INFRASTRUCTURE ECOSYSTEMS AND SOCIETY
ISSN	2709-8028
EISSN	2709-8036
出版年	2024
卷号	73 期号:3 页码:407-423
英文摘要	The study demonstrates how to estimate evapotranspiration (ET) for the Western Rajasthan region of India utilizing remotely sensed images with the Surface Energy Balance Algorithm for Land (SEBAL). Landsat 8 and Moderate Resolution Imaging Spectroradiometer (MODIS) satellite inputs were used to compute seasonal and annual ET on the Google Earth Engine platform. The assessment utilizing the SEBAL algorithm, in combination with the Food and Agriculture Organization (FAO) Penman-Monteith (PM) and Hargreaves methods, demonstrates that SEBAL has adequate reliability for estimating ET for a spatially large extent in semi-arid regions when evaluated with the Hargreaves method. The values of R-2, root-mean-square error (RMSE), and mean bias error (MBE) for FAO-PM were 0.63, 1.65 mm/day, and 1.28 mm/day, respectively. For the Hargreaves method, the values of R-2, RMSE, and MBE were 0.96, 0.41 mm/day, and -0.31 mm/day, respectively. The study showed that the northern region witnessed the highest ET due to the availability of abundant surface water for irrigation. Overall, the results demonstrate the SEBAL model's effectiveness in estimating evapotranspiration. A downward trend in ET is observed in the region, mainly due to changing climatic conditions.
英文关键词	evapotranspiration Google Earth Engine remote sensing SEBAL semi-arid
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:001172769300001
WOS关键词	CROP EVAPOTRANSPIRATION ; CLIMATE ; VARIABILITY ; BASIN
WOS类目	Engineering, Civil ; Water Resources
WOS研究方向	Engineering ; Water Resources
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/402917
推荐引用方式 GB/T 7714	Saxena, Dhruv,Choudhary, Mahender,Sharma, Gunwant. Spatiotemporal trends and evapotranspiration estimation using an improvised SEBAL convergence method for the semi-arid region of Western Rajasthan, India[J],2024,73(3):407-423.
APA	Saxena, Dhruv,Choudhary, Mahender,&Sharma, Gunwant.(2024).Spatiotemporal trends and evapotranspiration estimation using an improvised SEBAL convergence method for the semi-arid region of Western Rajasthan, India.AQUA-WATER INFRASTRUCTURE ECOSYSTEMS AND SOCIETY,73(3),407-423.
MLA	Saxena, Dhruv,et al."Spatiotemporal trends and evapotranspiration estimation using an improvised SEBAL convergence method for the semi-arid region of Western Rajasthan, India".AQUA-WATER INFRASTRUCTURE ECOSYSTEMS AND SOCIETY 73.3(2024):407-423.