Search results
- 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/11104/0342366File Download Size Commentary Version Access 1-s2.0-S0378377423000823-main.pdf 4 38.5 MB Publisher’s postprint open-access - 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 - 3.0473379 - 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