Search results

  1. 1.
    0571057 - ÚVGZ 2024 RIV NL eng J - Journal Article
    Potopová, Vera - Trifan, T. - Trnka, Miroslav - De Michele, C. - Semerádová, Daniela - Fischer, Milan - Meitner, Jan - Musiolková, M. - Muntean, N. - Clothier, B.
    Copulas modelling of maize yield losses-drought compound events using the multiple remote sensing indices over the Danube River Basin.
    Agricultural Water Management. Roč. 280, APR (2023), č. článku 108217. ISSN 0378-3774. E-ISSN 1873-2283
    R&D Projects: GA MŠMT(CZ) EF16_019/0000797; GA TA ČR(CZ) SS02030027
    Research Infrastructure: CzeCOS IV - 90248
    Institutional support: RVO:86652079
    Keywords : Evaporative Stress Index * Enhanced Vegetation Index * Relative Soil Water Availability * Peak correlation timing * Coupling droughtmaize yield losses * mechanism * Four-variate C-vine copula * Food security
    OECD category: Agriculture
    Impact factor: 6.7, year: 2022
    Method of publishing: Open access
    https://www.sciencedirect.com/science/article/pii/S0378377423000823?via%3Dihub
    Permanent Link: https://hdl.handle.net/11104/0342366
    FileDownloadSizeCommentaryVersionAccess
    1-s2.0-S0378377423000823-main.pdf438.5 MBPublisher’s postprintopen-access
     
     
  2. 2.
    0545755 - ÚVGZ 2022 RIV NL eng J - Journal Article
    Jurečka, František - Fischer, Milan - Hlavinka, Petr - Balek, Jan - Semerádová, Daniela - Bláhová, Monika - Anderson, M. C. - Hain, C. - Žalud, Zdeněk - Trnka, Miroslav
    Potential of water balance and remote sensing-based evapotranspiration models to predict yields of spring barley and winter wheat in the Czech Republic.
    Agricultural Water Management. Roč. 256, OCT (2021), č. článku 107064. ISSN 0378-3774. E-ISSN 1873-2283
    R&D Projects: GA MŠMT(CZ) EF16_019/0000797
    Research Infrastructure: CzeCOS III - 90123
    Institutional support: RVO:86652079
    Keywords : evaporative stress index * crop yield * agricultural drought * central-europe * united-states * time-series * soil * climate * system * parameterization * Artificial neural network * Crop yield prediction * Evapotranspiration * Evaporative stress index * Spring barley * Winter wheat
    OECD category: Agriculture
    Impact factor: 6.611, year: 2021
    Method of publishing: Limited access
    https://www.sciencedirect.com/science/article/pii/S0378377421003292?via%3Dihub
    Permanent Link: http://hdl.handle.net/11104/0322417
     
     
  3. 3.
    0473379 - ÚVGZ 2017 RIV CZ eng C - Conference Paper (international conference)
    Jurečka, František - Anderson, M. - Hlavinka, Petr - Semerádová, Daniela - Trnka, Miroslav - Hain, C. - Gao, F. - Yang, Y. - Žalud, Zdeněk
    Monitoring of water use, druought and yield impacts of winter wheat using imaginery from satellites.
    MendelNet 2015: Proceedings of International PhD Students Conference. Brno: Mendel University, 2015 - (Polak, O.; Cerkal, R.; Belcredi, N.), (2015), s. 54-59. ISBN 978-80-7509-363-9.
    [MendelNet 2015: International PhD Students Conference. Brno (CZ), 11.11.2015-12.11.2015]
    R&D Projects: GA MŠMT(CZ) LO1415; GA MŠMT(CZ) LD13030
    Institutional support: RVO:67179843
    Keywords : evaporative stress index * Remote sensing * drought * yield * alexi * esi
    Subject RIV: DG - Athmosphere Sciences, Meteorology
    https://mnet.mendelu.cz/mendelnet2015/articles/59_jurecka_1150.pdf
    Permanent Link: http://hdl.handle.net/11104/0270518
     
     


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