IDEAS home Printed from https://ideas.repec.org/a/eee/agiwat/v164y2016ip1p137-147.html
   My bibliography  Save this article

Comparative performance of remote sensing methods in assessing wheat performance under Mediterranean conditions

Author

Listed:
  • Yousfi, Salima
  • Kellas, Nassim
  • Saidi, Lila
  • Benlakehal, Zahra
  • Chaou, Lydia
  • Siad, Djamila
  • Herda, Farid
  • Karrou, Mohamed
  • Vergara, Omar
  • Gracia, Adrian
  • Araus, José Luis
  • Serret, Maria Dolores

Abstract

Vegetation indices and canopy temperature are the most usual remote-sensing approaches to assess cereal performance under Mediterranean conditions. However wide differences exist in the costs of the different equipment deployed to measure vegetation indices (e.g. spectroradiometers versus conventional red/green/blue cameras) or canopy temperature (infrared thermometers versus thermal cameras). In this study we compared different methodological approaches measuring vegetation indices and canopy temperature in durum wheat (Triticum turgidum L. ssp. durum (Desf.) Husn.) and bread wheat (Triticum aestivum L.) under different water conditions. These two categories of indices were correlated against grain yield during two consecutive years and with total biomass as well as water status (evaluated as carbon isotope composition, δ13C, and stomatal conductance) and nitrogen status (nitrogen and chlorophyll content) of the flag leaf during the first year. For the two crop species, and regardless of the device used, vegetation indices (the green area and the greener area) obtained with conventional cameras and the normalized difference vegetation index (NDVI) measured with a spectroradiometer were significantly correlated with grain yield, δ13C and stomatal conductance. Moreover, while canopy temperature measured with a thermal camera was better related to grain yield and δ13C than when measured with a low cost device such as an infrared thermometer, the latter approach still performs reasonably well when assessing yield and water status. This study highlights the usefulness of low-cost approaches to assess crop growth and water status in wheat under Mediterranean conditions.

Suggested Citation

  • Yousfi, Salima & Kellas, Nassim & Saidi, Lila & Benlakehal, Zahra & Chaou, Lydia & Siad, Djamila & Herda, Farid & Karrou, Mohamed & Vergara, Omar & Gracia, Adrian & Araus, José Luis & Serret, Maria Do, 2016. "Comparative performance of remote sensing methods in assessing wheat performance under Mediterranean conditions," Agricultural Water Management, Elsevier, vol. 164(P1), pages 137-147.
    • Handle: RePEc:eee:agiwat:v:164:y:2016:i:p1:p:137-147
    DOI: 10.1016/j.agwat.2015.09.016
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378377415301062
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.agwat.2015.09.016?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. Droogers, P. & Immerzeel, W.W. & Lorite, I.J., 2010. "Estimating actual irrigation application by remotely sensed evapotranspiration observations," Agricultural Water Management, Elsevier, vol. 97(9), pages 1351-1359, September.
    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. Rezzouk, Fatima Zahra & Gracia-Romero, Adrian & Kefauver, Shawn C. & Nieto-Taladriz, Maria Teresa & Serret, Maria Dolores & Araus, José Luis, 2022. "Durum wheat ideotypes in Mediterranean environments differing in water and temperature conditions," Agricultural Water Management, Elsevier, vol. 259(C).
    2. Mohamed A. Darwish & Ahmed F. Elkot & Ahmed M. S. Elfanah & Adel I. Selim & Mohamed M. M. Yassin & Elsayed A. Abomarzoka & Maher A. El-Maghraby & Nazih Y. Rebouh & Abdelraouf M. Ali, 2023. "Evaluation of Wheat Genotypes under Water Regimes Using Hyperspectral Reflectance and Agro-Physiological Parameters via Genotype by Yield*Trait Approaches in Sakha Station, Delta, Egypt," Agriculture, MDPI, vol. 13(7), pages 1-20, June.
    3. Yousfi, Salima & Marín, José & Parra, Lorena & Lloret, Jaime & Mauri, Pedro V., 2022. "Remote sensing devices as key methods in the advanced turfgrass phenotyping under different water regimes," Agricultural Water Management, Elsevier, vol. 266(C).
    4. Wang, Chu & Zhu, Kai & Bai, YanYan & Li, ChenYan & Li, Maona & Sun, Yan, 2024. "Response of stomatal conductance to plant water stress in buffalograss seed production: Observation with UAV thermal infrared imagery," Agricultural Water Management, Elsevier, vol. 292(C).
    5. Roberto Mancinelli & Mohamed Allam & Verdiana Petroselli & Mariam Atait & Merima Jasarevic & Alessia Catalani & Sara Marinari & Emanuele Radicetti & Aftab Jamal & Zainul Abideen & Gabriele Chilosi, 2023. "Durum Wheat Production as Affected by Soil Tillage and Fertilization Management in a Mediterranean Environment," Agriculture, MDPI, vol. 13(2), pages 1-15, February.

    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. Battude, Marjorie & Al Bitar, Ahmad & Brut, Aurore & Tallec, Tiphaine & Huc, Mireille & Cros, Jérôme & Weber, Jean-Jacques & Lhuissier, Ludovic & Simonneaux, Vincent & Demarez, Valérie, 2017. "Modeling water needs and total irrigation depths of maize crop in the south west of France using high spatial and temporal resolution satellite imagery," Agricultural Water Management, Elsevier, vol. 189(C), pages 123-136.
    2. Gibson, Katherine E.B. & Yang, Haishun S. & Franz, Trenton & Eisenhauer, Dean & Gates, John B. & Nasta, Paolo & Farmaha, Bhupinder S. & Grassini, Patricio, 2018. "Assessing explanatory factors for variation in on-farm irrigation in US maize-soybean systems," Agricultural Water Management, Elsevier, vol. 197(C), pages 34-40.
    3. Amir Sedaghatdoost & Hamed Ebrahimian & Abdolmajid Liaghat, 2019. "An Inverse Modeling Approach to Calibrate Parameters for a Drainage Model with Two Optimization Algorithms on Homogeneous/Heterogeneous Soil," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(4), pages 1383-1395, March.
    4. Simons, G.W.H. & Bastiaanssen, W.G.M. & Cheema, M.J.M. & Ahmad, B. & Immerzeel, W.W., 2020. "A novel method to quantify consumed fractions and non-consumptive use of irrigation water: Application to the Indus Basin Irrigation System of Pakistan," Agricultural Water Management, Elsevier, vol. 236(C).
    5. Fuentes, Ignacio & Vervoort, R. Willem & McPhee, James & Rojas, Luis A. Reyes, 2024. "Agricultural water accounting: Complementing a governance monitoring schema with remote sensing calculations at different scales," Agricultural Water Management, Elsevier, vol. 292(C).
    6. Zhou, Qing & Zhang, Yali & Wu, Feng, 2021. "Evaluation of the most proper management scale on water use efficiency and water productivity: A case study of the Heihe River Basin, China," Agricultural Water Management, Elsevier, vol. 246(C).
    7. Ahmad, Mobin-ud-Din & Peña-Arancibia, Jorge L. & Stewart, Joel P. & Kirby, John M., 2021. "Water balance trends in irrigated canal commands and its implications for sustainable water management in Pakistan: Evidence from 1981 to 2012," Agricultural Water Management, Elsevier, vol. 245(C).
    8. Ajaz, Ali & Karimi, Poolad & Cai, Xueliang & De Fraiture, Charlotte & Akhter, Muhammad Saleem, 2019. "Statistical Data Collection Methodologies of Irrigated Areas and Their Limitations: A Review," OSF Preprints cmahg, Center for Open Science.
    9. Funk, Bryana & Amer, Saud A. & Ward, Frank A., 2023. "Sustainable aquifer management for food security," Agricultural Water Management, Elsevier, vol. 281(C).
    10. 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.
    11. Paolini, Giovanni & Escorihuela, Maria Jose & Merlin, Olivier & Laluet, Pierre & Bellvert, Joaquim & Pellarin, Thierry, 2023. "Estimating multi-scale irrigation amounts using multi-resolution soil moisture data: A data-driven approach using PrISM," Agricultural Water Management, Elsevier, vol. 290(C).
    12. Christos Dimitrios Papanikolaou & Maria Andreas Sakellariou-Makrantonaki, 2023. "Estimation of corn coefficients with vegetation indices using multispectral camera and drone," Research in Agricultural Engineering, Czech Academy of Agricultural Sciences, vol. 69(1), pages 36-47.
    13. Kibria, Saad & Masia, Sara & Sušnik, Janez & Hessels, Tim Martijn, 2021. "Critical comparison of actual evapotranspiration estimates using ground based, remotely sensed, and simulated data in the USA," Agricultural Water Management, Elsevier, vol. 248(C).
    14. Wu, Bingfang & Jiang, Liping & Yan, Nana & Perry, Chris & Zeng, Hongwei, 2014. "Basin-wide evapotranspiration management: Concept and practical application in Hai Basin, China," Agricultural Water Management, Elsevier, vol. 145(C), pages 145-153.

    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:164:y:2016:i:p1:p:137-147. 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.