Landsat and Sentinel-2 images as a tool for the effective estimation of winter and spring cultivar growth and yield prediction in the Czech Republic

• Autorzy: Jelinek Z. , Kumhalova J. , Chyba J. , Wohlmuthova M. , Madaras M. , Kumhala F.
• Języki publikacji: EN

Abstrakty

EN

• Wydawca: -
• Czasopismo: International Agrophysics
• Rocznik: 2020
• Tom: 34
• Numer: 3
• Opis fizyczny: p.391-406,fig.,ref.

Twórcy

autor

Jelinek Z.

• Department of Machinery Utilization, Faculty of Engineering, Czech University of Life Sciences, Kamycka 129, 165 21 Prague 6 - Suchdol, Czech Republic

autor

Kumhalova J.

• Department of Machinery Utilization, Faculty of Engineering, Czech University of Life Sciences, Kamycka 129, 165 21 Prague 6 - Suchdol, Czech Republic

autor

Chyba J.

• Department of Agricultural Machines, Faculty of Engineering, Czech University of Life Sciences, Kamycka 129, 165 21 Prague 6 - Suchdol, Czech Republic

autor

Wohlmuthova M.

• Department of Mathematics, Faculty of Engineering, Czech University of Life Sciences, Kamycka 129, 165 21 Prague 6 - Suchdol, Czech Republic

autor

Madaras M.

• Division of Crop Management Systems, Crop Research Institute, Drnovska 507, 161 00 Prague 6 - Ruzyne, Czech Republic

autor

Kumhala F.

• Division of Crop Management Systems, Crop Research Institute, Drnovska 507, 161 00 Prague 6 - Ruzyne, Czech Republic

Identyfikatory

DOI

10.31545/intagr/126593