Application of multispectral remote sensing indices for sensing indices for estimating crop yields at field level

0485233 - ÚVGZ 2019 RIV CZ eng C - Konferenční příspěvek (zahraniční konf.)
Jurečka, František - Lukas, Vojtěch - Hlavinka, Petr - Semerádová, Daniela - Fischer, Milan - Žalud, Zdeněk - Trnka, Miroslav
Application of multispectral remote sensing indices for sensing indices for estimating crop yields at field level.
Quo vaditis agriculture, forestry and society under global change? Conference proceeding. Brno: Global change research institute, 2017 - (Urban, O.; Šprtová, M.; Klem, K.), s. 66-69. ISBN 978-80-87902-22-6.
[Quo vaditis agriculture, forestry and society under Global Change? Velké Karlovice (CZ), 02.10.2017-04.10.2017]
Grant CEP: GA MŠMT(CZ) LO1415
Institucionální podpora: RVO:86652079
Klíčová slova: remote sensing * crop yield * vegetation
Obor OECD: Agronomy, plant breeding and plant protection

Remote sensing can be used for yield estimation prior to harvest and can replace or complement classical
ways of estimating crop yields. This study was undertaken in Polkovice, located in the Czech Republic’s
Haná region. For 2015 and 2016, two data sets of satellite imagery were used: the Moderate Resolution
Imaging Spectroradiometer and the Landsat 8. Vegetation indices from satellites were compared with crop
yields at the level of land blocks. Winter wheat and spring barley yield data, representing crops planted
over the analysed period, were used for the comparison. The results of the index–yield comparison showed
that vegetation indices from remote sensing data provide reliable information for yield estimation prior to
harvest. Indices are also able to evaluate the spatial variability of a crop within the field. The results showed
that remote sensing data need to have detailed spatial resolution in order to provide reasonable information
about yield at such a detailed level.
Trvalý link: http://hdl.handle.net/11104/0280300