IDEAS home Printed from https://ideas.repec.org/a/eee/agiwat/v216y2019icp254-263.html
   My bibliography  Save this article

Regional evapotranspiration estimates using the relative soil moisture ratio derived from SMAP products

Author

Listed:
  • Walker, Elisabet
  • García, Gabriel A.
  • Venturini, Virginia
  • Carrasco, Aylen

Abstract

Evapotranspiration (ET) is the main water loss in water balance, particularly in arid and semiarid regions. In the last decades, remote sensing technology has been providing valuable information to monitor ET at large scale. In this study, a modification of the relative evapotranspiration (F) parameter introduced by Venturini et al. (2008) is presented. The surface actual water vapor pressure (es) is estimated incorporating surface texture information and the soil moisture (SM) content, as proposed by Deardorff (1978). The introduction of SM content in es estimation led to a physically meaningful estimation of the traditional F formulation. As a result, the original Venturini et al.’s ET application is simpler, more flexible and robust. The results presented here were calculated from the Soil Moisture Active Passive (SMAP) products with two different spatial resolutions 36 and 3 km, to compute regional ET. The proposed ET model was validated using ground observations from Bowen Ratio stations and Eddy Covariance towers. The ET results with a spatial resolution of 36 km showed good agreement with ground data, with a root mean square error varying from 0.91 to 1.22 mm/d. The recently released SMAP SM product at 3 km produces ET estimates with a root mean square error of 0.63 mm/d for autumn-winter season. The new ET model results were also compared with the well-known ET MYD16A2 product, making evident that the proposed approach outreaches the Moderate Resolution Imaging Spectroradiometer (MODIS) methodology. The preliminary results presented with our simple, flexible, universal and robust ET equation using SMAP SM, are promising.

Suggested Citation

  • Walker, Elisabet & García, Gabriel A. & Venturini, Virginia & Carrasco, Aylen, 2019. "Regional evapotranspiration estimates using the relative soil moisture ratio derived from SMAP products," Agricultural Water Management, Elsevier, vol. 216(C), pages 254-263.
    • Handle: RePEc:eee:agiwat:v:216:y:2019:i:c:p:254-263
    DOI: 10.1016/j.agwat.2019.02.009
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378377418307285
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.agwat.2019.02.009?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Yuei-An Liou & Sanjib Kumar Kar, 2014. "Evapotranspiration Estimation with Remote Sensing and Various Surface Energy Balance Algorithms—A Review," Energies, MDPI, vol. 7(5), pages 1-29, April.
    2. Srivastava, R.K. & Panda, R.K. & Chakraborty, A. & Halder, D., 2018. "Comparison of actual evapotranspiration of irrigated maize in a sub-humid region using four different canopy resistance based approaches," Agricultural Water Management, Elsevier, vol. 202(C), pages 156-165.
    3. Autovino, Dario & Minacapilli, Mario & Provenzano, Giuseppe, 2016. "Modelling bulk surface resistance by MODIS data and assessment of MOD16A2 evapotranspiration product in an irrigation district of Southern Italy," Agricultural Water Management, Elsevier, vol. 167(C), pages 86-94.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Amazirh, Abdelhakim & Er-Raki, Salah & Ojha, Nitu & Bouras, El houssaine & Rivalland, Vincent & Merlin, Olivier & Chehbouni, Abdelghani, 2022. "Assimilation of SMAP disaggregated soil moisture and Landsat land surface temperature to improve FAO-56 estimates of ET in semi-arid regions," Agricultural Water Management, Elsevier, vol. 260(C).
    2. Zhu, Wenbin & Yu, Xiaoyu & Wei, Jiaxing & Lv, Aifeng, 2024. "Surface flux equilibrium estimates of evaporative fraction and evapotranspiration at global scale: Accuracy evaluation and performance comparison," Agricultural Water Management, Elsevier, vol. 291(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Al Zayed, Islam Sabry & Elagib, Nadir Ahmed & Ribbe, Lars & Heinrich, Jürgen, 2016. "Satellite-based evapotranspiration over Gezira Irrigation Scheme, Sudan: A comparative study," Agricultural Water Management, Elsevier, vol. 177(C), pages 66-76.
    2. Li, Hongjun & Li, Chunqiang & Xing, Kaicheng & Lei, Yuping & Shen, Yanjun, 2024. "Surface temperature adjustment in METRIC model for monitoring crop water consumption in North China Plain," Agricultural Water Management, Elsevier, vol. 291(C).
    3. Mohammed Magdy Hamed & Najeebullah Khan & Mohd Khairul Idlan Muhammad & Shamsuddin Shahid, 2022. "Ranking of Empirical Evapotranspiration Models in Different Climate Zones of Pakistan," Land, MDPI, vol. 11(12), pages 1-18, November.
    4. Taheri, Mercedeh & Emadzadeh, Maryam & Gholizadeh, Mohsen & Tajrishi, Masoud & Ahmadi, Mehdi & Moradi, Melika, 2019. "Investigating the temporal and spatial variations of water consumption in Urmia Lake River Basin considering the climate and anthropogenic effects on the agriculture in the basin," Agricultural Water Management, Elsevier, vol. 213(C), pages 782-791.
    5. Zhou, Hanmi & Ma, Linshuang & Niu, Xiaoli & Xiang, Youzhen & Chen, Jiageng & Su, Yumin & Li, Jichen & Lu, Sibo & Chen, Cheng & Wu, Qi, 2024. "A novel hybrid model combined with ensemble embedded feature selection method for estimating reference evapotranspiration in the North China Plain," Agricultural Water Management, Elsevier, vol. 296(C).
    6. Wagle, Pradeep & Gowda, Prasanna H. & Northup, Brian K., 2019. "Dynamics of evapotranspiration over a non-irrigated alfalfa field in the Southern Great Plains of the United States," Agricultural Water Management, Elsevier, vol. 223(C), pages 1-1.
    7. Xue, Jingyuan & Fulton, Allan & Kisekka, Isaya, 2021. "Evaluating the role of remote sensing-based energy balance models in improving site-specific irrigation management for young walnut orchards," Agricultural Water Management, Elsevier, vol. 256(C).
    8. Negm, Amro & Minacapilli, Mario & Provenzano, Giuseppe, 2018. "Downscaling of American National Aeronautics and Space Administration (NASA) daily air temperature in Sicily, Italy, and effects on crop reference evapotranspiration," Agricultural Water Management, Elsevier, vol. 209(C), pages 151-162.
    9. Mouna Aïachi Mezghani & Amel Mguidiche & Faiza Allouche Khebour & Imen Zouari & Faouzi Attia & Giuseppe Provenzano, 2019. "Water Status and Yield Response to Deficit Irrigation and Fertilization of Three Olive Oil Cultivars under the Semi-Arid Conditions of Tunisia," Sustainability, MDPI, vol. 11(17), pages 1-18, September.
    10. Xing, Liwen & Zhao, Lu & Cui, Ningbo & Liu, Chunwei & Guo, Li & Du, Taisheng & Wu, Zongjun & Gong, Daozhi & Jiang, Shouzheng, 2023. "Apple tree transpiration estimated using the Penman-Monteith model integrated with optimized jarvis model," Agricultural Water Management, Elsevier, vol. 276(C).
    11. Hua Shi & George Xian & Roger Auch & Kevin Gallo & Qiang Zhou, 2021. "Urban Heat Island and Its Regional Impacts Using Remotely Sensed Thermal Data—A Review of Recent Developments and Methodology," Land, MDPI, vol. 10(8), pages 1-30, August.
    12. Ramírez-Cuesta, J.M. & Intrigliolo, D.S. & Lorite, I.J. & Moreno, M.A. & Vanella, D. & Ballesteros, R. & Hernández-López, D. & Buesa, I., 2023. "Determining grapevine water use under different sustainable agronomic practices using METRIC-UAV surface energy balance model," Agricultural Water Management, Elsevier, vol. 281(C).
    13. Muhammad Arfan, 2022. "Mapping Impact of Farmer’s Organisation on the Equity of Water and Land Productivity: Evidence from Pakistan (Article)," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 61(2), pages 275-294.
    14. Xiang, Keyu & Li, Yi & Horton, Robert & Feng, Hao, 2020. "Similarity and difference of potential evapotranspiration and reference crop evapotranspiration – a review," Agricultural Water Management, Elsevier, vol. 232(C).
    15. George P. Petropoulos & Prashant K. Srivastava & Maria Piles & Simon Pearson, 2018. "Earth Observation-Based Operational Estimation of Soil Moisture and Evapotranspiration for Agricultural Crops in Support of Sustainable Water Management," Sustainability, MDPI, vol. 10(1), pages 1-20, January.
    16. Kelechi Igwe & Vaishali Sharda & Trevor Hefley, 2023. "Evaluating the Impact of Future Seasonal Climate Extremes on Crop Evapotranspiration of Maize in Western Kansas Using a Machine Learning Approach," Land, MDPI, vol. 12(8), pages 1-26, July.
    17. Elnmer, Ayat & Khadr, Mosaad & Kanae, Shinjiro & Tawfik, Ahmed, 2019. "Mapping daily and seasonally evapotranspiration using remote sensing techniques over the Nile delta," Agricultural Water Management, Elsevier, vol. 213(C), pages 682-692.
    18. Campos, Isidro & Neale, Christopher M.U. & Suyker, Andrew E. & Arkebauer, Timothy J. & Gonçalves, Ivo Z., 2017. "Reflectance-based crop coefficients REDUX: For operational evapotranspiration estimates in the age of high producing hybrid varieties," Agricultural Water Management, Elsevier, vol. 187(C), pages 140-153.
    19. Kheir, Ahmed M.S. & Alrajhi, Abdullah A. & Ghoneim, Adel M. & Ali, Esmat F. & Magrashi, Ali & Zoghdan, Medhat G. & Abdelkhalik, Sedhom A.M. & Fahmy, Ahmed E. & Elnashar, Abdelrazek, 2021. "Modeling deficit irrigation-based evapotranspiration optimizes wheat yield and water productivity in arid regions," Agricultural Water Management, Elsevier, vol. 256(C).
    20. Mhawej, Mario & Caiserman, Arnaud & Nasrallah, Ali & Dawi, Ali & Bachour, Roula & Faour, Ghaleb, 2020. "Automated evapotranspiration retrieval model with missing soil-related datasets: The proposal of SEBALI," Agricultural Water Management, Elsevier, vol. 229(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:agiwat:v:216:y:2019:i:c:p:254-263. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/agwat .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.