0574339 - ÚVGZ 2024 RIV CH eng J - Journal Article
Meitner, Jan - Balek, Jan - Bláhová, Monika - Semerádová, Daniela - Hlavinka, Petr - Lukas, V. - Jurečka, František - Žalud, Zdeněk - Klem, Karel - Anderson, M. C. - Wouter, D. - Fischer, Milan - Trnka, Miroslav
Estimating Drought-Induced Crop Yield Losses at the Cadastral Area Level in the Czech Republic.
Agronomy. Roč. 13, č. 7 (2023), č. článku 1669. E-ISSN 2073-4395
R&D Projects: GA MŠMT(CZ) EF16_019/0000797
Research Infrastructure: CzeCOS IV - 90248
Institutional support: RVO:86652079
Keywords : crop yield loss * drought * remote sensing * artificial neural network
OECD category: Agriculture
Impact factor: 3.7, year: 2022
Method of publishing: Open access
https://www.mdpi.com/2073-4395/13/7/1669
Permanent Link: https://hdl.handle.net/11104/0344681
Meitner, Jan - Balek, Jan - Bláhová, Monika - Semerádová, Daniela - Hlavinka, Petr - Lukas, V. - Jurečka, František - Žalud, Zdeněk - Klem, Karel - Anderson, M. C. - Wouter, D. - Fischer, Milan - Trnka, Miroslav
Estimating Drought-Induced Crop Yield Losses at the Cadastral Area Level in the Czech Republic.
Agronomy. Roč. 13, č. 7 (2023), č. článku 1669. E-ISSN 2073-4395
R&D Projects: GA MŠMT(CZ) EF16_019/0000797
Research Infrastructure: CzeCOS IV - 90248
Institutional support: RVO:86652079
Keywords : crop yield loss * drought * remote sensing * artificial neural network
OECD category: Agriculture
Impact factor: 3.7, year: 2022
Method of publishing: Open access
https://www.mdpi.com/2073-4395/13/7/1669
Permanent Link: https://hdl.handle.net/11104/0344681