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Detection of drought events using combination of satellite data and soil moisture modelling

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F86652079%3A_____%2F16%3A00473287" target="_blank" >RIV/86652079:_____/16:00473287 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Detection of drought events using combination of satellite data and soil moisture modelling

  • Original language description

    The use of satellite data offers a potentially well usable tool to accurate drought monitoring. The study examines the space-time possibility of agricultural drought detection using freely available data from the MODIS instrument onboard Terra and Aqua satellites that reflects vegetation condition. Vegetation greenness metrics used in this study are based on the spectral reflectance curves in the visible red and near-infrared part of the spectrum and are expressed in relation to the average for the period of 2000-2014. The results are presented in weekly time step for the whole area of the Czech Republic, and are compared to the drought monitor system, based on the SoilClim dynamic model for soil water content estimates. These data, as well as other parameters, such as soil properties and land use, are integrated at 500 meters spatial resolution.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    DG - Atmospheric sciences, meteorology

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/EE2.3.20.0248" target="_blank" >EE2.3.20.0248: Building up a multidisciplinary scientific team focused on drought</a><br>

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2016

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Mendel and Bioclimatology

  • ISBN

    978-80-7509-397-4

  • ISSN

  • e-ISSN

  • Number of pages

    7

  • Pages from-to

    (2016)

  • Publisher name

    Mendel university in Brno

  • Place of publication

    Brno

  • Event location

    Brno

  • Event date

    Sep 3, 2014

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000382229900032