IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v12y2020i20p8437-d427354.html
   My bibliography  Save this article

Sentinel-2 Satellite Imagery for Agronomic and Quality Variability Assessment of Pistachio ( Pistacia vera L.)

Author

Listed:
  • Enrique Barajas

    (Instituto Tecnológico Agrario de Castilla y León. Ctra. Burgos km 119, 47071 Valladolid, Spain)

  • Sara Álvarez

    (Instituto Tecnológico Agrario de Castilla y León. Ctra. Burgos km 119, 47071 Valladolid, Spain)

  • Elena Fernández

    (Instituto Tecnológico Agrario de Castilla y León. Ctra. Burgos km 119, 47071 Valladolid, Spain)

  • Sergio Vélez

    (Instituto Tecnológico Agrario de Castilla y León. Ctra. Burgos km 119, 47071 Valladolid, Spain)

  • José Antonio Rubio

    (Instituto Tecnológico Agrario de Castilla y León. Ctra. Burgos km 119, 47071 Valladolid, Spain)

  • Hugo Martín

    (Instituto Tecnológico Agrario de Castilla y León. Ctra. Burgos km 119, 47071 Valladolid, Spain)

Abstract

The objective of this work is to evaluate the agronomic, phenological, nutritional quality and organoleptic characteristics of pistachios ( Pistacia vera L.) based on the NDVI (Normalized Difference Vegetation Index) calculated in the phenological stage of nut filling from Sentinel satellite imagery. Based on this index, three pistachio tree orchards were studied and classified into two levels of vigour: high and low. The results obtained have discriminated the production per tree, which is strongly related to yield. Regarding the nutritional quality parameters, significant differences were not observed between vigour levels, although the most vigorous trees have shown nuts with a higher percentage of fibre and protein. In terms of phenology, there have not been differences between trees of different vigour, only a slight advance of some phenological stages has been observed in several high-vigour trees. Triangular tests have been made successfully to discriminate the origin of the dry nut and the vigour of the trees. In conclusion, for a given nut quality within a given orchard, the NDVI is a good index to classify different areas according to productive capacity and can be useful to apply variable management, irrigation and fertilization according to vigour.

Suggested Citation

  • Enrique Barajas & Sara Álvarez & Elena Fernández & Sergio Vélez & José Antonio Rubio & Hugo Martín, 2020. "Sentinel-2 Satellite Imagery for Agronomic and Quality Variability Assessment of Pistachio ( Pistacia vera L.)," Sustainability, MDPI, vol. 12(20), pages 1-12, October.
  • Handle: RePEc:gam:jsusta:v:12:y:2020:i:20:p:8437-:d:427354
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/12/20/8437/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/12/20/8437/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Memmi, H. & Gijón, M.C. & Couceiro, J.F. & Pérez-López, D., 2016. "Water stress thresholds for regulated deficit irrigation in pistachio trees: Rootstock influence and effects on yield quality," Agricultural Water Management, Elsevier, vol. 164(P1), pages 58-72.
    2. Joy Sanyal & X. Lu, 2004. "Application of Remote Sensing in Flood Management with Special Reference to Monsoon Asia: A Review," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 33(2), pages 283-301, October.
    Full references (including those not matched with items on IDEAS)

    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. Dibyendu Samantaray & Chandranath Chatterjee & Rajendra Singh & Praveen Gupta & Sushma Panigrahy, 2015. "Flood risk modeling for optimal rice planning for delta region of Mahanadi river basin in India," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 76(1), pages 347-372, March.
    2. Nizamud Din Essa & Muneeb Aamir, 2019. "Analysis of Flood Damage Assessment through WorldView-2, Quick Bird and Multispectral Satellite Imagery in Southern Punjab, Pakistan," International Journal of Innovations in Science & Technology, 50sea, vol. 1(3), pages 120-139, July.
    3. Akiko Masuya & Ashraf Dewan & Robert Corner, 2015. "Population evacuation: evaluating spatial distribution of flood shelters and vulnerable residential units in Dhaka with geographic information systems," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 78(3), pages 1859-1882, September.
    4. Anoop Kumar Mishra & Mohammad Suhail Meer & Vanganuru Nagaraju, 2019. "Satellite-based monitoring of recent heavy flooding over north-eastern states of India in July 2019," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 97(3), pages 1407-1412, July.
    5. Álvarez, Xana & Gómez-Rúa, María & Vidal-Puga, Juan, 2019. "Risk prevention of land flood: A cooperative game theory approach," MPRA Paper 91515, University Library of Munich, Germany.
    6. Kashfia Nowrin Choudhury & Helmut Yabar & Takeshi Mizunoya, 2022. "GIS and remote sensing-based spatiotemporal analysis of cumulative flood risk over Bangladesh’s national highways," Asia-Pacific Journal of Regional Science, Springer, vol. 6(1), pages 335-364, February.
    7. Rei Itsukushima & Kazuaki Ohtsuki & Tatsuro Sato, 2019. "Influence of Microtopography and Alluvial Lowland Characteristics on Location and Development of Residential Areas in the Kuji River Basin of Japan," Sustainability, MDPI, vol. 12(1), pages 1-17, December.
    8. Mahnaz Gumrukcuoglu & Douglas Goodin & Charles Martin, 2010. "Landuse change in upper Kansas river floodplain: following the 1993 flood," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 55(2), pages 467-479, November.
    9. Seda Ertan & Rahmi Nurhan Çelik, 2021. "The Assessment of Urbanization Effect and Sustainable Drainage Solutions on Flood Hazard by GIS," Sustainability, MDPI, vol. 13(4), pages 1-18, February.
    10. Adele Amico Roxas & Giulia Marino & Giuseppe Avellone & Tiziano Caruso & Francesco Paolo Marra, 2020. "The Effect of Plant Water Status on the Chemical Composition of Pistachio Nuts ( Pistacia vera L. Cultivar Bianca)," Agriculture, MDPI, vol. 10(5), pages 1-11, May.
    11. Moriana, A. & Memmi, H. & Centeno, A. & Martín-Palomo, M.J. & Corell, M. & Torrecillas, A. & Pérez-López, D., 2018. "Influence of rootstock on pistachio (Pistacia vera L. cv Kerman) water relations," Agricultural Water Management, Elsevier, vol. 202(C), pages 263-270.
    12. Kumar Gaurav & R. Sinha & P. Panda, 2011. "The Indus flood of 2010 in Pakistan: a perspective analysis using remote sensing data," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 59(3), pages 1815-1826, December.
    13. Yunlan Zhang & Xiaomin Jiang & Feng Zhang, 2024. "Urban Flood Resilience Assessment of Zhengzhou Considering Social Equity and Human Awareness," Land, MDPI, vol. 13(1), pages 1-23, January.
    14. Elena Sava & Laura Clemente-Harding & Guido Cervone, 2017. "Supervised classification of civil air patrol (CAP)," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 86(2), pages 535-556, March.
    15. Joy Sanyal & Patrice Carbonneau & Alexander Densmore, 2013. "Hydraulic routing of extreme floods in a large ungauged river and the estimation of associated uncertainties: a case study of the Damodar River, India," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 66(2), pages 1153-1177, March.
    16. Zhicheng Wang & Zhiqiang Gao, 2022. "Dynamic monitoring of flood disaster based on remote sensing data cube," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 114(3), pages 3123-3138, December.
    17. Md. Shahinoor Rahman & Liping Di, 2017. "The state of the art of spaceborne remote sensing in flood management," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 85(2), pages 1223-1248, January.
    18. Boni Su & Hong Huang & Yuntao Li, 2016. "Integrated simulation method for waterlogging and traffic congestion under urban rainstorms," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 81(1), pages 23-40, March.
    19. Sushila Rijal & Bhagawat Rimal & Sean Sloan, 2018. "Flood Hazard Mapping of a Rapidly Urbanizing City in the Foothills (Birendranagar, Surkhet) of Nepal," Land, MDPI, vol. 7(2), pages 1-13, May.
    20. Mohammadi Mohammadabadi, Akbar & Hosseinifard, Seyed Javad & Sedaghati, Nasser & Nikooei Dastjerdi, Mohammadreza, 2020. "Pistachio (Pistachia vera L.) seedling growth response to irrigation method and volume in Iran," Agricultural Water Management, Elsevier, vol. 240(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:gam:jsusta:v:12:y:2020:i:20:p:8437-:d:427354. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.