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SENSE-GDD: A Satellite-Derived Temperature Monitoring Service to Provide Growing Degree Days

Author

Listed:
  • Iphigenia Keramitsoglou

    (Institute for Astronomy Astrophysics Space Applications and Remote Sensing, National Observatory of Athens, Vas. Pavlou & I. Metaxa, 15236 Penteli, Greece)

  • Panagiotis Sismanidis

    (Institute for Astronomy Astrophysics Space Applications and Remote Sensing, National Observatory of Athens, Vas. Pavlou & I. Metaxa, 15236 Penteli, Greece
    Institute of Geography, Ruhr University Bochum, 44801 Bochum, Germany)

  • Olga Sykioti

    (Institute for Astronomy Astrophysics Space Applications and Remote Sensing, National Observatory of Athens, Vas. Pavlou & I. Metaxa, 15236 Penteli, Greece)

  • Vassilios Pisinaras

    (Soil and Water Resources Institute, Hellenic Agricultural Organization—DEMETER, 57400 Sindos, Greece)

  • Ioannis Tsakmakis

    (Soil and Water Resources Institute, Hellenic Agricultural Organization—DEMETER, 57400 Sindos, Greece)

  • Andreas Panagopoulos

    (Soil and Water Resources Institute, Hellenic Agricultural Organization—DEMETER, 57400 Sindos, Greece)

  • Argyrios Argyriou

    (Gerovassiliou Estate, 57500 Epanomi, Greece)

  • Chris T. Kiranoudis

    (Institute for Astronomy Astrophysics Space Applications and Remote Sensing, National Observatory of Athens, Vas. Pavlou & I. Metaxa, 15236 Penteli, Greece
    School of Chemical Engineering, National Technical University of Athens, 15773 Athens, Greece)

Abstract

A new satellite-enabled interoperable service has been developed to provide high spatiotemporal and continuous time series of Growing Degree Days (GDDs) at the field. The GDDs are calculated from MSG-SEVIRI data acquired by the EUMETCast station operated by IAASARS/NOA and downscaled on-the-fly to increase the initial coarse spatial resolution from the original 4–5 km to 1 km. The performance of the new service SENSE-GDD, in deriving reliable GDD timeseries at dates very close to key phenological stages, is assessed using in situ air temperature measurements from weather stations installed in Gerovassiliou Estate vineyard at Epanomi (Northern Greece) and an apple orchard at Agia (Central Greece). Budburst, pollination, and the start of veraison are selected as key phenological stages for the vineyards, whilst budburst and pollination for the apple orchard. The assessment shows that SENSE-GDD provided uninterrupted accurate measurements in both crop types. A distinct feature is that the proposed service can support decisions in non-instrumented crop fields in a cost-effective way, paving the way for its extended operational use in agriculture.

Suggested Citation

  • Iphigenia Keramitsoglou & Panagiotis Sismanidis & Olga Sykioti & Vassilios Pisinaras & Ioannis Tsakmakis & Andreas Panagopoulos & Argyrios Argyriou & Chris T. Kiranoudis, 2023. "SENSE-GDD: A Satellite-Derived Temperature Monitoring Service to Provide Growing Degree Days," Agriculture, MDPI, vol. 13(5), pages 1-13, May.
    • Handle: RePEc:gam:jagris:v:13:y:2023:i:5:p:1108-:d:1153133
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    References listed on IDEAS

    as
    1. Richwell Mubita Mwiya & Zhanyu Zhang & Chengxin Zheng & Ce Wang, 2020. "Comparison of Approaches for Irrigation Scheduling Using AquaCrop and NSGA-III Models under Climate Uncertainty," Sustainability, MDPI, vol. 12(18), pages 1-20, September.
    2. Tsakmakis, I.D. & Gikas, G.D. & Sylaios, G.K., 2021. "Integration of Sentinel-derived NDVI to reduce uncertainties in the operational field monitoring of maize," Agricultural Water Management, Elsevier, vol. 255(C).
    3. Savé, R. & de Herralde, F. & Aranda, X. & Pla, E. & Pascual, D. & Funes, I. & Biel, C., 2012. "Potential changes in irrigation requirements and phenology of maize, apple trees and alfalfa under global change conditions in Fluvià watershed during XXIst century: Results from a modeling approximat," Agricultural Water Management, Elsevier, vol. 114(C), pages 78-87.
    4. I. Tsakmakis & N. Kokkos & V. Pisinaras & V. Papaevangelou & E. Hatzigiannakis & G. Arampatzis & G.D. Gikas & R. Linker & S. Zoras & V. Evagelopoulos & V.A. Tsihrintzis & A. Battilani & G. Sylaios, 2017. "Operational Precise Irrigation for Cotton Cultivation through the Coupling of Meteorological and Crop Growth Models," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(1), pages 563-580, January.
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