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Use of Landsat images for yield evaluation within a small plot

Author

Listed:
  • J. Kumhálová

    (Department of Applied Geoinformatics and Spatial Planning, Faculty of Environmental Sciences, Czech University of Life Sciences Prague, Prague, Czech Republic)

  • F. Zemek

    (Global Change Research Centre, Academy of Sciences of the Czech Republic, Brno, Czech Republic)

  • P. Novák

    (Department of Agricultural Machines, Faculty of Engineering, Czech University of Life Sciences Prague, Prague, Czech Republic)

  • O. Brovkina

    (Faculty of Forestry and Wood Technology, Mendel University in Brno, Brno, Czech Republic)

  • M. Mayerová

    (Department of Biomathematics and Databases, Crop Research Institute, Prague, Czech Republic)

Abstract

Many factors can influence crop yield. One of the most important factors is topography, which can play a crucial role especially in dry years. Plant variability can be monitored by many methods. This paper evaluates the suitability of vegetation indices derived from satellite Landsat 5 TM data in comparison with yield, curvature and topography wetness index over a relatively small field (11.5 ha). Imageries were chosen from the years 2006 and 2010, when oat was grown and from 2005 and 2011, when winter wheat was grown. These images were taken in June in the same growth stage for every crop. It was confirmed that derived indices from Landsat images can be used for comparison with yield and selected topographic attributes and it can explain yield variability, which can be influenced by water distribution during growth stages. Correlation coefficient between moisture stress index and winter wheat yield was -0.816 in the image acquisition date of 4. 6. 2011.

Suggested Citation

  • J. Kumhálová & F. Zemek & P. Novák & O. Brovkina & M. Mayerová, 2014. "Use of Landsat images for yield evaluation within a small plot," Plant, Soil and Environment, Czech Academy of Agricultural Sciences, vol. 60(11), pages 501-506.
    • Handle: RePEc:caa:jnlpse:v:60:y:2014:i:11:id:515-2014-pse
    DOI: 10.17221/515/2014-PSE
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    Cited by:

    1. J.A. Domínguez & J. Kumhálová & P. Novák, 2015. "Winter oilseed rape and winter wheat growth prediction using remote sensing methods," Plant, Soil and Environment, Czech Academy of Agricultural Sciences, vol. 61(9), pages 410-416.

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