Performance of the METRIC model in estimating evapotranspiration fluxes over an irrigated field in Saudi Arabia using Landsat-8 images

Author:

Madugundu RangaswamyORCID,Al-Gaadi Khalid A.,Tola ElKamil,Hassaballa Abdalhaleem A.,Patil Virupakshagouda C.

Abstract

Abstract. Accurate estimation of evapotranspiration (ET) is essential for hydrological modeling and efficient crop water management in hyper-arid climates. In this study, we applied the METRIC algorithm on Landsat-8 images, acquired from June to October 2013, for the mapping of ET of a 50 ha center-pivot irrigated alfalfa field in the eastern region of Saudi Arabia. The METRIC-estimated energy balance components and ET were evaluated against the data provided by an eddy covariance (EC) flux tower installed in the field. Results indicated that the METRIC algorithm provided accurate ET estimates over the study area, with RMSE values of 0.13 and 4.15 mm d−1. The METRIC algorithm was observed to perform better in full canopy conditions compared to partial canopy conditions. On average, the METRIC algorithm overestimated the hourly ET by 6.6 % in comparison to the EC measurements; however, the daily ET was underestimated by 4.2 %.

Publisher

Copernicus GmbH

Subject

General Earth and Planetary Sciences,General Engineering,General Environmental Science

Reference81 articles.

1. Al-Ghobari, H. M., Mohammad, F. S., and ElMarazky, M. S. A.: Effect of intelligent irrigation on water use efficiency of wheat crop in arid region, J. Anim. Plant Sci., 23, 1691–1699, 2013.

2. Al-Kahtani, S. H. and Ismaiel, S. M.: Groundwater irrigation management in the Kingdom of Saudi Arabia: A case study of Al-Wajid aquifer, J. US-China Public Admin., 7, 54–65, 2010.

3. Allen, R. G., Pereira, S. L., Raes, D., and Smith, M.: Crop Evapotranspiration-Guidelines for computing water requirements, FAO Irrigation and Drainage paper 56, Food and Agricultural Organization, Rome 300, D05109, available at: http://www.kimberly.uidaho.edu/water/fao56/fao56.pdf (last access: 16 August 2016), 1998.

4. Allen, R. G., Hartogensis, O., and de Bruin, H.: Long-wave radiation over alfalfa during the RAPID field campaign in southern Idaho, Research Report, Kimberly, Univ. of Idaho, Id., USA, 2000.

5. Allen, R. G., Tasumi, M., Morse, A., and Trezza, R.: A Landsat-based energy balance and evapotranspiration model in Western US water rights regulation and planning, Irrig. Drain. Syst., 19, 251–268, https://doi.org/10.1007/s10795-005-5187-z, 2005.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3