IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v10y2021i6p656-d578323.html
   My bibliography  Save this article

Exploring the Drivers of Sentinel-2-Derived Crop Phenology: The Joint Role of Climate, Soil, and Land Use

Author

Listed:
  • Sofia Bajocco

    (Council for Agricultural Research and Economics, Research Centre for Agriculture and Environment (CREA-AA), 00184 Rome, Italy)

  • Silvia Vanino

    (Council for Agricultural Research and Economics, Research Centre for Agriculture and Environment (CREA-AA), 00184 Rome, Italy)

  • Marco Bascietto

    (Council for Agricultural Research and Economics, Research Centre for Engineering and Agro-Food Processing (CREA-IT), 00015 Monterotondo, Italy)

  • Rosario Napoli

    (Council for Agricultural Research and Economics, Research Centre for Agriculture and Environment (CREA-AA), 00184 Rome, Italy)

Abstract

The exploration of crop seasonality across a region offers a way to help understand the phenological spatial patterns of complex landscapes, like agricultural ones. Knowing the role of environmental factors in influencing crop phenology patterns and processes is a key aspect for understanding the impact of climate and land use changes on agricultural landscape dynamics. We identified pixels with similar phenological behavior (i.e., pheno-clusters) and compared them to the land cover map of the study area to assess the role of the land management component in controlling the phenological patterns identified. Results demonstrated that soil texture is the most important factor for permanent crops, while large amount of rainfall and high values of available water content are the main drivers in spring cultivations (i.e., irrigated crops). Scarce water availability (in terms of soil texture, low annual precipitation and high minimum temperature) represented the main driving factor for non-irrigated crops, whose phenology is characterized by summer drought and fall-winter productivity. Compared to vegetation maps that use only land cover from a single season or period, using seasonality of the NDVI time series to classify the agricultural landscape provides different and more ecologically relevant information about croplands.

Suggested Citation

  • Sofia Bajocco & Silvia Vanino & Marco Bascietto & Rosario Napoli, 2021. "Exploring the Drivers of Sentinel-2-Derived Crop Phenology: The Joint Role of Climate, Soil, and Land Use," Land, MDPI, vol. 10(6), pages 1-13, June.
    • Handle: RePEc:gam:jlands:v:10:y:2021:i:6:p:656-:d:578323
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/10/6/656/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2073-445X/10/6/656/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Bajocco, S. & Rosati, L. & Ricotta, C., 2010. "Knowing fire incidence through fuel phenology: A remotely sensed approach," Ecological Modelling, Elsevier, vol. 221(1), pages 59-66.
    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. Enrico Santangelo & Claudio Beni & Loredana Oreti & Adriano Palma & Marco Bascietto, 2023. "Vulnerability of Wheat Crops to Flooding Outweighs Benefits from Precision Farming and Agroecology Practices: A Case Study in Central Italy," Land, MDPI, vol. 12(4), pages 1-17, April.
    2. Bregaglio, Simone & Ginaldi, Fabrizio & Raparelli, Elisabetta & Fila, Gianni & Bajocco, Sofia, 2023. "Improving crop yield prediction accuracy by embedding phenological heterogeneity into model parameter sets," Agricultural Systems, Elsevier, vol. 209(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. Simona Canu & Leonardo Rosati & Michele Fiori & Andrea Motroni & Rossella Filigheddu & Emmanuele Farris, 2015. "Bioclimate map of Sardinia (Italy)," Journal of Maps, Taylor & Francis Journals, vol. 11(5), pages 711-718, October.
    2. De Angelis, Antonella & Bajocco, Sofia & Ricotta, Carlo, 2012. "Modelling the phenological niche of large fires with remotely sensed NDVI profiles," Ecological Modelling, Elsevier, vol. 228(C), pages 106-111.
    3. Maurizio Marchi & Francesco Chianucci & Carlotta Ferrara & Giorgio Pontuale & Elisa Pontuale & Anastasios Mavrakis & Nathan Morrow & Fabrizio Rossi & Luca Salvati, 2018. "Sustainable Land-Use, Wildfires, and Evolving Local Contexts in a Mediterranean Country, 2000–2015," Sustainability, MDPI, vol. 10(11), pages 1-13, October.
    4. Iraj Rahimi & Lia Duarte & Ana Cláudia Teodoro, 2024. "Zagros Grass Index—A New Vegetation Index to Enhance Fire Fuel Mapping: A Case Study in the Zagros Mountains," Sustainability, MDPI, vol. 16(10), pages 1-16, May.

    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:jlands:v:10:y:2021:i:6:p:656-:d:578323. 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.