All

What are you looking for?

All
Projects
Results
Organizations

Quick search

  • Projects supported by TA ČR
  • Excellent projects
  • Projects with the highest public support
  • Current projects

Smart search

  • That is how I find a specific +word
  • That is how I leave the -word out of the results
  • “That is how I can find the whole phrase”

Winter wheat, winter rape and poppy crop growth evaluation with the help of remote and proximal sensing measurements

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41310%2F20%3A84501" target="_blank" >RIV/60460709:41310/20:84501 - isvavai.cz</a>

  • Result on the web

    <a href="http://dspace.emu.ee/xmlui/handle/10492/6104" target="_blank" >http://dspace.emu.ee/xmlui/handle/10492/6104</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.15159/AR.20.176" target="_blank" >10.15159/AR.20.176</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Winter wheat, winter rape and poppy crop growth evaluation with the help of remote and proximal sensing measurements

  • Original language description

    Monitoring of agricultural crops with the help of remote and proximal sensors during the growing season plays important role for site-specific management decisions. Winter wheat, winter rape and poppy are representatives of typical agricultural crops from the family Poacea, Brassicaceae and Papaveraceae, growing in relative dry area of Rakovnik district in the Czech Republic. Ten Sentinel 2 satellite images acquired during vegetation season of the crops were downloaded and processed. Crops were monitored with the help of unmanned aerial vehicles (UAV) equipped with consumer grade Red Green Blue (RGB) camera and multispectral (MS) MicaSense RedEdge MX camera. In-field variability was assessed by computing RGB-based vegetation indices Triangular Greenness Index (TGI), Green Leaf Index (GLI) and Visible Atmospherically Resistant Index (VARI) and commonly used vegetation indices as Normalised Difference Vegetation Index (NDVI) and Green NDVI (GNDVI). The results derived from satellite and UAV images were

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database

  • CEP classification

  • OECD FORD branch

    40101 - Agriculture

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2020

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Agronomy Research

  • ISSN

    1406-894X

  • e-ISSN

  • Volume of the periodical

    18

  • Issue of the periodical within the volume

    3

  • Country of publishing house

    CZ - CZECH REPUBLIC

  • Number of pages

    11

  • Pages from-to

    2049-2059

  • UT code for WoS article

  • EID of the result in the Scopus database

    2-s2.0-85098209548