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Earth observation method for an operational assessment of crop phenology metric

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00020699%3A_____%2F22%3AN0000008" target="_blank" >RIV/00020699:_____/22:N0000008 - isvavai.cz</a>

  • Result on the web

    <a href="https://riviste.fupress.net/index.php/IJAm/article/view/1075" target="_blank" >https://riviste.fupress.net/index.php/IJAm/article/view/1075</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Earth observation method for an operational assessment of crop phenology metric

  • Original language description

    Vegetation phenology is one of the key indicators for assessing inter annual changes of ecosystems while crop phenology has crucial and practical importance for precise timing of farming practices of today's smart agriculture. The aim of this study is to develop and implement a procedure for filtering and processing daily satellite signals from Moderate Resolution Imaging Spectroradiometer (MODIS) satellites for the operational derivation of vegetation indices and land surface phenology (LSP) metrics. Second, this work investigates and selects precisely adjusted parameters for the calculation of a specific LSP metric - the SOS (start of the season). The SOS obtained from the satellite data was compared with available in situ ground measurements at 80 sites with records from 2000-2012 across the Czech Republic. The coefficients of determination, R2, for the land surface phenology based on Earth observation and traditional ground phenology indicated differences between the two methods. However, the average R2 at all sites for agricultural land was 0.31 for winter wheat onset of leaf sheath elongation; the R2 exceeded 0.5 at 21 sites and was approximately 0.7 at some sites. The developed procedure proved suitable for operational monitoring of actual crop conditions and other influence factors that are important for drought monitoring.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10509 - Meteorology and atmospheric sciences

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2022

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    ITALIAN JOURNAL OF AGROMETEOROLOGY-RIVISTA ITALIANA DI AGROMETEOROLOGIA

  • ISSN

    2038-5625

  • e-ISSN

  • Volume of the periodical

    2

  • Issue of the periodical within the volume

    2

  • Country of publishing house

    IT - ITALY

  • Number of pages

    10

  • Pages from-to

    71-80

  • UT code for WoS article

    000738100700006

  • EID of the result in the Scopus database