IDEAS home Printed from https://ideas.repec.org/a/spr/waterr/v27y2013i14p4877-4895.html
   My bibliography  Save this article

Evapotranspiration from an Olive Orchard using Remote Sensing-Based Dual Crop Coefficient Approach

Author

Listed:
  • C. Cammalleri
  • G. Ciraolo
  • M. Minacapilli
  • G. Rallo

Abstract

A remote sensing-based approach to estimate actual evapotranspiration (ET) was tested in an area covered by olive trees and characterized by Mediterranean climate. The methodology is a modified version of the standard FAO-56 dual crop coefficient procedure, in which the crop potential transpiration, T p, is obtained by directly applying the Penman-Monteith (PM) equation with actual canopy characteristics (i.e., leaf area index, albedo and canopy height) derived from optical remote sensing data. Due to the minimum requirement of in-situ ancillary inputs, the methodology is suitable also for applications on large areas where the use of tabled crop coefficient values become problematic, due to the need of corrections for specific crop parameters, i.e., percentage of ground cover, crop height, phenological cycles, etc. The methodology was applied using seven airborne remote sensing images acquired during spring-autumn 2008. The estimates based on PM approach always outperforms the ones obtained using simple crop coefficient constant values. Additionally, the comparison of simulated daily evapotranspiration and transpiration with the values observed by eddy correlation and sap flow techniques, respectively, shows a substantial agreement during both dry and wet days with an accuracy in the order of 0.5 and 0.3 mm d −1 , respectively. The obtained results suggest the capability of the proposed approach to correctly partition evaporation and transpiration components during both the irrigation season and rainy period also under conditions of significant reduction of actual ET from the potential one. Copyright Springer Science+Business Media Dordrecht 2013

Suggested Citation

  • C. Cammalleri & G. Ciraolo & M. Minacapilli & G. Rallo, 2013. "Evapotranspiration from an Olive Orchard using Remote Sensing-Based Dual Crop Coefficient Approach," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(14), pages 4877-4895, November.
    • Handle: RePEc:spr:waterr:v:27:y:2013:i:14:p:4877-4895
    DOI: 10.1007/s11269-013-0444-7
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s11269-013-0444-7
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s11269-013-0444-7?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. Er-Raki, S. & Chehbouni, A. & Boulet, G. & Williams, D.G., 2010. "Using the dual approach of FAO-56 for partitioning ET into soil and plant components for olive orchards in a semi-arid region," Agricultural Water Management, Elsevier, vol. 97(11), pages 1769-1778, November.
    2. Minacapilli, M. & Iovino, M. & D'Urso, G., 2008. "A distributed agro-hydrological model for irrigation water demand assessment," Agricultural Water Management, Elsevier, vol. 95(2), pages 123-132, February.
    3. Gonzalez-Dugo, M.P. & Mateos, L., 2008. "Spectral vegetation indices for benchmarking water productivity of irrigated cotton and sugarbeet crops," Agricultural Water Management, Elsevier, vol. 95(1), pages 48-58, January.
    4. C. Santos & I. Lorite & R. Allen & M. Tasumi, 2012. "Aerodynamic Parameterization of the Satellite-Based Energy Balance (METRIC) Model for ET Estimation in Rainfed Olive Orchards of Andalusia, Spain," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(11), pages 3267-3283, September.
    5. Rallo, Giovanni & Provenzano, Giuseppe, 2013. "Modelling eco-physiological response of table olive trees (Olea europaea L.) to soil water deficit conditions," Agricultural Water Management, Elsevier, vol. 120(C), pages 79-88.
    6. Allen, Richard G. & Pereira, Luis S. & Howell, Terry A. & Jensen, Marvin E., 2011. "Evapotranspiration information reporting: I. Factors governing measurement accuracy," Agricultural Water Management, Elsevier, vol. 98(6), pages 899-920, April.
    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. Suelen Costa Faria Martins & Marcos Alex Santos & Gustavo Bastos Lyra & José Leonaldo Souza & Guilherme Bastos Lyra & Iêdo Teodoro & Fábio Freitas Ferreira & Ricardo Araújo Ferreira Júnior & Alexsandr, 2022. "Actual Evapotranspiration for Sugarcane Based on Bowen Ratio-Energy Balance and Soil Water Balance Models with Optimized Crop Coefficients," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(12), pages 4557-4574, September.
    2. Jian Yin & Chesheng Zhan & Wen Ye, 2016. "An Experimental Study on Evapotranspiration Data Assimilation Based on the Hydrological Model," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(14), pages 5263-5279, November.
    3. S. M. Alfieri & M. Riccardi & M. Menenti & A. Basile & A. Bonfante & F. Lorenzi, 2019. "Adaptability of global olive cultivars to water availability under future Mediterranean climate," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 24(3), pages 435-466, March.
    4. Sara, Ourrai & Bouchra, Aithssaine & Abdelhakim, Amazirh & Salah, Er-RAKI & Lhoussaine, Bouchaou & Frederic, Jacob & Abdelghani, Chehbouni, 2024. "Assessment of the modified two-source energy balance (TSEB) model for estimating evapotranspiration and its components over an irrigated olive orchard in Morocco," Agricultural Water Management, Elsevier, vol. 298(C).
    5. El Hajj, Marcel M. & Johansen, Kasper & Almashharawi, Samer K. & McCabe, Matthew F., 2023. "Water uptake rates over olive orchards using Sentinel-1 synthetic aperture radar data," Agricultural Water Management, Elsevier, vol. 288(C).
    6. Rallo, G. & Paço, T.A. & Paredes, P. & Puig-Sirera, À. & Massai, R. & Provenzano, G. & Pereira, L.S., 2021. "Updated single and dual crop coefficients for tree and vine fruit crops," Agricultural Water Management, Elsevier, vol. 250(C).
    7. Minacapilli, M. & Cammalleri, C. & Ciraolo, G. & Rallo, G. & Provenzano, G., 2016. "Using scintillometry to assess reference evapotranspiration methods and their impact on the water balance of olive groves," Agricultural Water Management, Elsevier, vol. 170(C), pages 49-60.
    8. Ortega-Salazar, Samuel & Ortega-Farías, Samuel & Kilic, Ayse & Allen, Richard, 2021. "Performance of the METRIC model for mapping energy balance components and actual evapotranspiration over a superintensive drip-irrigated olive orchard," Agricultural Water Management, Elsevier, vol. 251(C).
    9. Rallo, Giovanni & González-Altozano, Pablo & Manzano-Juárez, Juan & Provenzano, Giuseppe, 2017. "Using field measurements and FAO-56 model to assess the eco-physiological response of citrus orchards under regulated deficit irrigation," Agricultural Water Management, Elsevier, vol. 180(PA), pages 136-147.
    10. Pengrui Ai & Yingjie Ma & Ying Hai, 2023. "Comparing Simulated Jujube Evapotranspiration from P–T, Dual Kc, and S–W Models against Measurements Using a Large Weighing Lysimeter under Drip Irrigation in an Arid Area," Agriculture, MDPI, vol. 13(2), pages 1-23, February.
    11. Luis Santos Pereira, 2017. "Water, Agriculture and Food: Challenges and Issues," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(10), pages 2985-2999, August.
    12. Jinjiao Lian & Mingbin Huang, 2015. "Evapotranspiration Estimation for an Oasis Area in the Heihe River Basin Using Landsat-8 Images and the METRIC Model," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(14), pages 5157-5170, November.
    13. Hui Cao & Hongbo Wang & Yong Li & Abdoul Kader Mounkaila Hamani & Nan Zhang & Xingpeng Wang & Yang Gao, 2021. "Evapotranspiration Partition and Dual Crop Coefficients in Apple Orchard with Dwarf Stocks and Dense Planting in Arid Region, Aksu Oasis, Southern Xinjiang," Agriculture, MDPI, vol. 11(11), pages 1-16, November.
    14. Rouault, Pierre & Courault, Dominique & Flamain, Fabrice & Pouget, Guillaume & Doussan, Claude & Lopez-Lozano, Raul & McCabe, Matthew & Debolini, Marta, 2024. "High-resolution satellite imagery to assess orchard characteristics impacting water use," Agricultural Water Management, Elsevier, vol. 295(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. Pôças, I. & Calera, A. & Campos, I. & Cunha, M., 2020. "Remote sensing for estimating and mapping single and basal crop coefficientes: A review on spectral vegetation indices approaches," Agricultural Water Management, Elsevier, vol. 233(C).
    2. Elfarkh, Jamal & Simonneaux, Vincent & Jarlan, Lionel & Ezzahar, Jamal & Boulet, Gilles & Chakir, Adnane & Er-Raki, Salah, 2022. "Evapotranspiration estimates in a traditional irrigated area in semi-arid Mediterranean. Comparison of four remote sensing-based models," Agricultural Water Management, Elsevier, vol. 270(C).
    3. Mokhtari, Ali & Noory, Hamideh & Vazifedoust, Majid & Palouj, Mojtaba & Bakhtiari, Atousa & Barikani, Elham & Zabihi Afrooz, Ramezan Ali & Fereydooni, Fatemeh & Sadeghi Naeni, Ali & Pourshakouri, Farr, 2019. "Evaluation of single crop coefficient curves derived from Landsat satellite images for major crops in Iran," Agricultural Water Management, Elsevier, vol. 218(C), pages 234-249.
    4. Awada, Hassan & Di Prima, Simone & Sirca, Costantino & Giadrossich, Filippo & Marras, Serena & Spano, Donatella & Pirastru, Mario, 2022. "A remote sensing and modeling integrated approach for constructing continuous time series of daily actual evapotranspiration," Agricultural Water Management, Elsevier, vol. 260(C).
    5. Pereira, L.S. & Paredes, P. & Hunsaker, D.J. & López-Urrea, R. & Mohammadi Shad, Z., 2021. "Standard single and basal crop coefficients for field crops. Updates and advances to the FAO56 crop water requirements method," Agricultural Water Management, Elsevier, vol. 243(C).
    6. Aouade, G. & Ezzahar, J. & Amenzou, N. & Er-Raki, S. & Benkaddour, A. & Khabba, S. & Jarlan, L., 2016. "Combining stable isotopes, Eddy Covariance system and meteorological measurements for partitioning evapotranspiration, of winter wheat, into soil evaporation and plant transpiration in a semi-arid reg," Agricultural Water Management, Elsevier, vol. 177(C), pages 181-192.
    7. Diarra, A. & Jarlan, L. & Er-Raki, S. & Le Page, M. & Aouade, G. & Tavernier, A. & Boulet, G. & Ezzahar, J. & Merlin, O. & Khabba, S., 2017. "Performance of the two-source energy budget (TSEB) model for the monitoring of evapotranspiration over irrigated annual crops in North Africa," Agricultural Water Management, Elsevier, vol. 193(C), pages 71-88.
    8. Ouaadi, Nadia & Jarlan, Lionel & Khabba, Saïd & Le Page, Michel & Chakir, Adnane & Er-Raki, Salah & Frison, Pierre-Louis, 2023. "Are the C-band backscattering coefficient and interferometric coherence suitable substitutes of NDVI for the monitoring of the FAO-56 crop coefficient?," Agricultural Water Management, Elsevier, vol. 282(C).
    9. Paredes, Paula & Pereira, Luis S. & Rodrigues, Gonçalo C. & Botelho, Nuno & Torres, Maria Odete, 2017. "Using the FAO dual crop coefficient approach to model water use and productivity of processing pea (Pisum sativum L.) as influenced by irrigation strategies," Agricultural Water Management, Elsevier, vol. 189(C), pages 5-18.
    10. Pereira, Luis S. & Paredes, Paula & Rodrigues, Gonçalo C. & Neves, Manuela, 2015. "Modeling malt barley water use and evapotranspiration partitioning in two contrasting rainfall years. Assessing AquaCrop and SIMDualKc models," Agricultural Water Management, Elsevier, vol. 159(C), pages 239-254.
    11. Cammalleri, C. & Rallo, G. & Agnese, C. & Ciraolo, G. & Minacapilli, M. & Provenzano, G., 2013. "Combined use of eddy covariance and sap flow techniques for partition of ET fluxes and water stress assessment in an irrigated olive orchard," Agricultural Water Management, Elsevier, vol. 120(C), pages 89-97.
    12. Toureiro, Célia & Serralheiro, Ricardo & Shahidian, Shakib & Sousa, Adélia, 2017. "Irrigation management with remote sensing: Evaluating irrigation requirement for maize under Mediterranean climate condition," Agricultural Water Management, Elsevier, vol. 184(C), pages 211-220.
    13. López-Urrea, R. & Sánchez, J.M. & de la Cruz, F. & González-Piqueras, J. & Chávez, J.L., 2020. "Evapotranspiration and crop coefficients from lysimeter measurements for sprinkler-irrigated canola," Agricultural Water Management, Elsevier, vol. 239(C).
    14. French, Andrew N. & Hunsaker, Douglas J. & Sanchez, Charles A. & Saber, Mazin & Gonzalez, Juan Roberto & Anderson, Ray, 2020. "Satellite-based NDVI crop coefficients and evapotranspiration with eddy covariance validation for multiple durum wheat fields in the US Southwest," Agricultural Water Management, Elsevier, vol. 239(C).
    15. Puppo, Lucía & García, Claudio & Bautista, Eduardo & Hunsaker, Douglas J. & Beretta, Andrés & Girona, Joan, 2019. "Seasonal basal crop coefficient pattern of young non-bearing olive trees grown in drainage lysimeters in a temperate sub-humid climate," Agricultural Water Management, Elsevier, vol. 226(C).
    16. Mateos, L. & González-Dugo, M.P. & Testi, L. & Villalobos, F.J., 2013. "Monitoring evapotranspiration of irrigated crops using crop coefficients derived from time series of satellite images. I. Method validation," Agricultural Water Management, Elsevier, vol. 125(C), pages 81-91.
    17. Ortega-Salazar, Samuel & Ortega-Farías, Samuel & Kilic, Ayse & Allen, Richard, 2021. "Performance of the METRIC model for mapping energy balance components and actual evapotranspiration over a superintensive drip-irrigated olive orchard," Agricultural Water Management, Elsevier, vol. 251(C).
    18. Pereira, L.S. & Paredes, P. & Melton, F. & Johnson, L. & Wang, T. & López-Urrea, R. & Cancela, J.J. & Allen, R.G., 2020. "Prediction of crop coefficients from fraction of ground cover and height. Background and validation using ground and remote sensing data," Agricultural Water Management, Elsevier, vol. 241(C).
    19. Ayyoub, A. & Er-Raki, S. & Khabba, S. & Merlin, O. & Ezzahar, J. & Rodriguez, J.C. & Bahlaoui, A. & Chehbouni, A., 2017. "A simple and alternative approach based on reference evapotranspiration and leaf area index for estimating tree transpiration in semi-arid regions," Agricultural Water Management, Elsevier, vol. 188(C), pages 61-68.
    20. González-Dugo, M.P. & Escuin, S. & Cano, F. & Cifuentes, V. & Padilla, F.L.M. & Tirado, J.L. & Oyonarte, N. & Fernández, P. & Mateos, L., 2013. "Monitoring evapotranspiration of irrigated crops using crop coefficients derived from time series of satellite images. II. Application on basin scale," Agricultural Water Management, Elsevier, vol. 125(C), pages 92-104.

    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:spr:waterr:v:27:y:2013:i:14:p:4877-4895. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.