干旱区生态环境知识资源中心(Arid): Mapping of Evapotranspiration and Determination of the Water Footprint of a Potato Crop Grown in Hyper-Arid Regions in Saudi Arabia

Arid

DOI	10.3390/su151612201
	Mapping of Evapotranspiration and Determination of the Water Footprint of a Potato Crop Grown in Hyper-Arid Regions in Saudi Arabia
	Madugundu, Rangaswamy; Al-Gaadi, Khalid A.; Tola, Elkamil; El-Hendawy, Salah; Marey, Samy A.
通讯作者	Madugundu, R
来源期刊	SUSTAINABILITY
EISSN	2071-1050
出版年	2023
卷号	15 期号:16
英文摘要	Seasonal quantification of a crop's evapotranspiration (ET) and water footprint (WF) is essential for sustainable agriculture. Therefore, this study was conducted to estimate the ET and WF of an irrigated potato crop using satellite imagery of Landsat and Sentinel-2 sensors. The Simplified Surface Energy Balance (SSEB) algorithm was used to evaluate the crop water use (ETa) for potato fields belonging to the Saudi Agricultural Development Company, located in the Wadi-Ad-Dawasir region, Saudi Arabia. Normalized difference vegetation index (NDVI), soil-adjusted vegetation index (SAVI), and land surface temperature (LSD) were computed for Landsat and Sentinel-2 datasets, which were used as inputs for mapping the potato tuber yield and, subsequently, the WF. The results indicated that the NDVI showed the best accuracy for the prediction of the potato tuber yield (R-2 = 0.72, P > F = 0.021) followed by the SAVI (R-2 = 0.64, P > F = 0.018), compared to the field harvested actual yield (Y-A). A comparison between the satellite-based ETa and the actual amount of water applied (W-A) for irrigation showed a good correlation (R-2 = 0.89, RMSE = 4.4%, MBE = 12.9%). The WF of the potatoes in the study area was estimated at values between 475 and 357 m(3) t(-1) for the early (September-December) and late (December-April) growing periods, re-spectively. A major portion (99.2%) of the WF was accounted for from irrigation with variations of 18.5% and 3.5% for early-and late-planted potatoes, respectively, compared to the baseline (crop planted in season). In conclusion, the results showed the possibility of satisfactorily estimating the WF using the SSEB algorithm by integrating the Landsat-8 and Sentinel-2 datasets. In general, the high rates of ET in the early planting season led to higher WF values compared to the in-season and late planting dates; this will help in selecting suitable planting dates for potato crops in the study area and areas with similar environments, which enhances the opportunities for sustainable management of irrigation water.
英文关键词	satellite data vegetation indices SSEB CROPWAT water footprint
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E ; SSCI
WOS记录号	WOS:001056595500001
WOS关键词	COEFFICIENTS ; RESOURCES ; GREEN ; BLUE
WOS类目	Green & Sustainable Science & Technology ; Environmental Sciences ; Environmental Studies
WOS研究方向	Science & Technology - Other Topics ; Environmental Sciences & Ecology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/398825
推荐引用方式 GB/T 7714	Madugundu, Rangaswamy,Al-Gaadi, Khalid A.,Tola, Elkamil,et al. Mapping of Evapotranspiration and Determination of the Water Footprint of a Potato Crop Grown in Hyper-Arid Regions in Saudi Arabia[J],2023,15(16).
APA	Madugundu, Rangaswamy,Al-Gaadi, Khalid A.,Tola, Elkamil,El-Hendawy, Salah,&Marey, Samy A..(2023).Mapping of Evapotranspiration and Determination of the Water Footprint of a Potato Crop Grown in Hyper-Arid Regions in Saudi Arabia.SUSTAINABILITY,15(16).
MLA	Madugundu, Rangaswamy,et al."Mapping of Evapotranspiration and Determination of the Water Footprint of a Potato Crop Grown in Hyper-Arid Regions in Saudi Arabia".SUSTAINABILITY 15.16(2023).