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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.
  • 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. (en)
Title
  • Detection of drought events using combination of satellite data and soil moisture modelling
  • Detection of drought events using combination of satellite data and soil moisture modelling (en)
skos:prefLabel
  • Detection of drought events using combination of satellite data and soil moisture modelling
  • Detection of drought events using combination of satellite data and soil moisture modelling (en)
skos:notation
  • RIV/62156489:43210/14:00231047!RIV15-MSM-43210___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(EE2.3.20.0248), P(LD14121)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 10606
http://linked.open...ai/riv/idVysledku
  • RIV/62156489:43210/14:00231047
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • drought monitor; remote sensing; MODIS (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [6987BB1D731E]
http://linked.open...v/mistoKonaniAkce
  • Brno
http://linked.open...i/riv/mistoVydani
  • Brno
http://linked.open...i/riv/nazevZdroje
  • Mendel and bioclimatology
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Hlavinka, Petr
  • Semerádová, Daniela
  • Trnka, Miroslav
  • Žalud, Zdeněk
  • Balek, Jan
  • Hayes, Michael
  • Bohovic, Roman
  • Wardlow, Brian
  • Tadesse, Tsegaye
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
http://purl.org/ne...btex#hasPublisher
  • Masaryk University
https://schema.org/isbn
  • 978-80-210-6983-1
http://localhost/t...ganizacniJednotka
  • 43210
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