Earth observation method for an operational assessment of crop phenology metric start of the season
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F86652079%3A_____%2F21%3A00552607" target="_blank" >RIV/86652079:_____/21:00552607 - isvavai.cz</a>
Alternative codes found
RIV/62156489:43210/21:43920983
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
<a href="http://dx.doi.org/10.36253/ijam-1075" target="_blank" >10.36253/ijam-1075</a>
Alternative languages
Result language
angličtina
Original language name
Earth observation method for an operational assessment of crop phenology metric start of the season
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
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10510 - Climatic research
Result continuities
Project
<a href="/en/project/EF16_019%2F0000797" target="_blank" >EF16_019/0000797: SustES - Adaptation strategies for sustainable ecosystem services and food security under adverse environmental conditions</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2021
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
2038-5625
Volume of the periodical
2021
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
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